CN108064085A - A kind of wireless resource allocation methods and device - Google Patents

Abstract

Embodiments of the present invention provide a wireless resource allocation method and device, which relate to the technical field of communication and can effectively improve user experience quality. The method includes: the terminal receives the QoE weight model sent by the analysis server; and acquires the first QoE parameter of the terminal, the first QoE parameter of the terminal includes the first QoE parameter value of each application in the target application, and the first QoE parameter is real-time QoE parameters; and the terminal determines the impact weight of the first QoE parameter of the terminal on QoE according to the first QoE parameter of the terminal and the QoE weight model; and the terminal sends the impact weight of the first QoE parameter of the terminal to QoE to the radio resource manager, The radio resource manager allocates radio resources for the terminal according to the influence weight of the first QoE parameter of the terminal on QoE, and the QoE weight model is a model representing the relationship between the QoE parameter of the terminal and the influence weight of the terminal QoE parameter on QoE.

Description

A method and device for allocating wireless resources

technical field

Embodiments of the present invention relate to the field of communication technologies, and in particular, to a method and device for allocating wireless resources.

Background technique

With the rapid development of the mobile Internet, various applications of mobile terminals (such as social networking, office, and media applications) emerge in an endless stream, and the demand for wireless resources of mobile terminals is also increasing.

At present, in the process of allocating wireless resources to terminals, the wireless resources are allocated to the terminals mainly according to the requirements of each terminal on the network rate, so as to improve the network throughput and ensure the smooth operation of terminal services.

However, in the above wireless resource allocation method, since wireless resources are allocated to terminals only according to the network rate requirements of each terminal, although the network throughput can be improved, it may not be able to meet the wireless resource requirements of various terminal applications, affecting user experience quality. For example, application 1 and application 2 are running on terminal 1, and application 1 and application 3 are running on terminal 2. If application 1 and application 2 of terminal 1 require a higher network speed than application 2 and application 3 of terminal 2 If the demand is high, the above method will allocate more resources to terminal 1 and allocate less resources to terminal 2. However, for terminal 2, application 3 of terminal 2 is actually running more important services, but for The resources allocated by terminal 2 may be relatively small, and it may not be possible to give priority to ensuring efficient operation of services on application 3, resulting in poor user experience.

Contents of the invention

The present application provides a wireless resource allocation method and device, which can effectively improve user experience quality.

In order to achieve the above object, the application adopts the following technical solutions:

In a first aspect, a method for allocating wireless resources is provided, the method may include: the terminal receives the QoE weight model sent by the analysis server; and the terminal acquires the first QoE parameter of the terminal; and the terminal obtains the first QoE parameter and the QoE weight of the terminal The model determines the influence weight of the first QoE parameter of the terminal on QoE; and the terminal sends the influence weight of the first QoE parameter of the terminal to QoE to the radio resource manager, so that the radio resource manager The influence weight of parameters on QoE allocates wireless resources for the terminal, wherein the QoE weight model is a model representing the relationship between the QoE parameters of the terminal and the influence weight of the QoE parameters of the terminal on QoE, and the first QoE parameter of the terminal includes the target application The first QoE parameter value of each application, where the first QoE parameter is a real-time QoE parameter.

In a second aspect, a method for allocating wireless resources is provided, and the method may include: the analysis server receives a QoE training sample sent by at least one terminal; and the analysis server establishes a QoE weight model according to the QoE training sample; and the analysis server sends to at least one terminal In the QoE weight model, a QoE training sample of a terminal includes at least one QoE parameter sample and a QoE value corresponding to at least one QoE parameter sample, and a QoE parameter sample includes a QoE parameter of a target application of the terminal.

In a third aspect, a terminal is provided, and the terminal includes a receiving module, an acquiring module, a determining module, and a sending module. Wherein, the receiving module can be used to receive the QoE weight model sent by the analysis server, and the QoE weight model is a model representing the relationship between the QoE parameter of the terminal and the influence weight of the terminal QoE parameter on QoE; the obtaining module can be used to obtain the terminal's The first QoE parameter, the first QoE parameter of the terminal includes the first QoE parameter value of each application in the target application, and the first QoE parameter is a real-time QoE parameter; The QoE parameter and the QoE weight model received by the receiving module determine the impact weight of the first QoE parameter of the terminal on QoE; the sending module can be used to send the impact weight of the first QoE parameter of the terminal determined by the determination module to QoE to the wireless resource manager , so that the radio resource manager allocates radio resources for the terminal according to the impact weight of the first QoE parameter of the terminal on QoE.

In a fourth aspect, an analysis server is provided, and the analysis server includes a receiving module, a building module and a sending module. Wherein, the receiving module can be used to receive the QoE training sample sent by at least one terminal, the QoE training sample of a terminal includes at least one QoE parameter sample and the QoE value corresponding to at least one QoE parameter sample, and one QoE parameter sample includes a target of the terminal The applied QoE parameters; the building module can be used to establish a QoE weight model according to the QoE training sample; the sending module can be used to send the QoE weight model to at least one terminal.

According to a fifth aspect, a terminal is provided, and the terminal includes a processor, a transceiver, and a memory. Wherein, the memory is used to store computer-executable instructions, and when the terminal is running, the processor executes the computer-executable instructions stored in the memory, so that the terminal executes the radio resource allocation method described in the first aspect.

In a sixth aspect, a computer-readable storage medium is provided. One or more programs are stored in the computer-readable storage medium, and the one or more programs include computer-executable instructions. When a processor of a terminal executes the computer-executable instructions, the The terminal executes the radio resource allocation method described in the first aspect above.

In a seventh aspect, a computer program product including computer instructions is provided, and when the computer program product is run on a terminal, the terminal is made to execute the radio resource allocation method described in the first aspect above.

In an eighth aspect, an analysis server is provided, and the analysis server includes a processor, a transceiver, and a memory. Wherein, the memory is used to store computer-executable instructions, and when the analysis server is running, the processor executes the computer-executable instructions stored in the memory, so that the analysis server executes the wireless resource allocation method described in the second aspect.

In the ninth aspect, a computer-readable storage medium is provided. One or more programs are stored in the computer-readable storage medium, and the one or more programs include computer-executable instructions. When the processor of the analysis server executes the computer-executable instructions, The analysis server executes the radio resource allocation method described in the second aspect above.

In a tenth aspect, a computer program product including computer instructions is provided, and when the computer program product is run on an analysis server, the analysis server is made to execute the wireless resource allocation method described in the second aspect above.

In the wireless resource allocation method provided by this application, the analysis server trains the QoE weight model according to the QoE training sample sent by the terminal, and sends the QoE weight model to the terminal, and then the terminal acquires a real-time QoE parameter of the terminal (such as the above-mentioned first QoE parameters), and determine the influence weight of the first QoE parameter on QoE according to the QoE weight model, and the terminal sends the influence weight of the first QoE parameter of the terminal to the wireless resource manager, so that the wireless resource manager according to The first QoE parameter of the terminal has an impact weight on QoE, and radio resources are allocated to the terminal. Compared with the prior art, in this application, in the process of allocating wireless resources for the terminal, from the perspective of the influence of each performance parameter of the terminal on the quality of experience of the user, the influence weight of each parameter on QoE is determined, so that it can According to the influence weight of each parameter on QoE, the wireless resource is allocated to the terminal. In this way, the wireless resource allocated to the terminal can effectively improve the quality of experience of the user while ensuring the smooth running of the service of the terminal.

Description of drawings

FIG. 1 is a schematic structural diagram of a communication system provided by an embodiment of the present invention;

Fig. 2 is a hardware schematic diagram of a mobile phone provided by an embodiment of the present invention;

FIG. 3 is a hardware schematic diagram of an analysis server provided by an embodiment of the present invention;

FIG. 4 is a first schematic diagram of a wireless resource allocation method provided by an embodiment of the present invention;

FIG. 5 is a second schematic diagram of a wireless resource allocation method provided by an embodiment of the present invention;

FIG. 6 is a third schematic diagram of a wireless resource allocation method provided by an embodiment of the present invention;

FIG. 7 is a first structural schematic diagram of a terminal provided by an embodiment of the present invention;

FIG. 8 is a second structural schematic diagram of a terminal provided by an embodiment of the present invention;

FIG. 9 is a first structural diagram of an analysis server provided by an embodiment of the present invention;

FIG. 10 is a second structural diagram of an analysis server provided by an embodiment of the present invention.

Detailed ways

The radio resource allocation method and device provided by the embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

In the embodiments of the present invention, words such as "exemplary" or "for example" are used as examples, illustrations or illustrations. Any embodiment or design solution described as "exemplary" or "for example" in the embodiments of the present invention shall not be construed as being more preferred or more advantageous than other embodiments or design solutions. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete manner.

In the description of the embodiments of the present invention, unless otherwise specified, "plurality" means two or more. For example, multiple processing units refer to two or more processing units; multiple systems refer to two or more systems.

In addition, the terms "including" and "having" and any variations thereof mentioned in the description of the present invention are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units is not limited to the listed steps or units, but optionally also includes other unlisted steps or units, or optionally also includes Other steps or elements inherent to the process, method, product or apparatus are included.

First, some concepts involved in the embodiments of the present invention are explained.

QoE: Quality of experience (QoE), is an index defined by the International Telecommunication Union Standardization Organization to measure the user's subjective experience. QoE refers to the overall acceptability of an application or service perceived by the user using the terminal , usually the higher the value of QoE, the better the quality of user experience.

QoE parameters: The QoE parameters are some performance parameters of the terminal, and the QoE parameters can include the network layer parameters (such as wireless network speed) of the terminal, the application layer parameters of the terminal (such as data transmission rate) and the attribute information of the terminal (such as the screen resolution of the terminal), different QoE parameters may have different influences on the user's QoE.

Based on the existing problems in the background technology, the embodiments of the present invention provide a wireless resource allocation method and device, which can allocate wireless resources to terminals based on the impact weight of terminal QoE parameters on QoE, so that user quality of experience can be effectively improved.

The wireless resource allocation method provided by the embodiment of the present invention can be applied to a communication system for allocating wireless resources, as shown in FIG. 1 , which is a schematic structural diagram of a communication system for allocating wireless resources provided by an embodiment of the present invention. In FIG. 1 , the communication system includes at least one terminal (two terminals are taken as an example in FIG. 1 , respectively marked as terminal 10 a and terminal 10 b ), an analysis server 11 and a wireless resource manager 12 . Wherein, the radio resource manager is responsible for allocating radio resources for the terminal 10a and the terminal 10b. Taking the terminal 10a as an example, in this communication system, the analysis server 11 is mainly used for training (or learning) the QoE weight model, and sends the QoE weight model to the terminal 10a and the terminal 10b, so that the terminal 10a can and the real-time QoE parameters of the terminal 10a, determine the impact weight of a certain parameter in the QoE parameters on QoE, and send the impact weight of the QoE parameters to QoE to the wireless resource manager, and the wireless resource manager can receive multiple terminals. The influence weight of the QoE parameters on QoE, the radio resource manager allocates radio resources for each terminal according to the influence weight of the QoE parameters of each terminal on QoE.

The terminal provided in the embodiment of the present invention may be a mobile phone, a tablet computer, a notebook computer, an ultra-mobile personal computer (ultra-mobile personal computer, UMPC), a netbook, or a personal digital assistant (personal Digital Assistant, PDA).

Exemplarily, the embodiment of the present invention takes the terminal as a mobile phone as an example to introduce the hardware structure of the terminal. The components of the mobile phone provided by the embodiment of the present invention will be described in detail below with reference to FIG. 2 . As shown in FIG. 2 , the mobile phone provided by the embodiment of the present invention includes: a processor 20, a radio frequency (radio frequency, RF) circuit 21, a power supply 22, a memory 23, an input unit 24, a display unit 25, an audio circuit 26 and other components. Those skilled in the art can understand that the structure of the mobile phone shown in Figure 2 does not constitute a limitation on the mobile phone, which may include more or less components than those shown in Figure 2, or may be combined as shown in Figure 2 Some of the components, or may be arranged differently from the components shown in FIG. 2 .

The processor 20 is the control center of the mobile phone, and uses various interfaces and lines to connect various parts of the entire mobile phone. By running or executing software programs and/or modules stored in the memory 23, and calling data stored in the memory 23, various functions of the mobile phone are executed and data is processed, so as to monitor the mobile phone as a whole. Optionally, the processor 20 may include one or more processing units. Optionally, the processor 20 may integrate an application processor and a modem processor, wherein the application processor mainly processes operating systems, user interfaces, and application programs, etc.; the modem processor mainly processes wireless communications. It can be understood that, the foregoing modem processor may also be a processor that exists independently of the processor 20 .

The RF circuit 21 can be used to receive and send signals during sending and receiving information or talking. For example, after receiving the downlink information of the base station, it is processed by the processor 20; in addition, the uplink data is sent to the base station. Generally, the RF circuit includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier (low noise amplifier, LNA), and a duplexer. In addition, the mobile phone can also realize wireless communication with other devices in the network through the RF circuit 21 . Wireless communication can use any communication standard or protocol, including but not limited to global system of mobile communication (GSM), general packet radio service (general packet radio service, GPRS), code division multiple access (code division multiple access) , CDMA), wideband code division multiple access (wideband code division multiple access, WCDMA), LTE, email, and short message service (short messaging service, SMS), etc.

The power supply 22 can be used to supply power to various components of the mobile phone, and the power supply 22 can be a battery. Optionally, the power supply may be logically connected to the processor 20 through a power management system, so as to implement functions such as management of charging, discharging, and power consumption through the power management system.

The memory 23 can be used to store software programs and/or modules, and the processor 20 executes various functional applications and data processing of the mobile phone by running the software programs and/or modules stored in the memory 23 . The memory 23 can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, at least one function required application program (such as a sound playback function, an image playback function, etc.) etc.; Data created by the use of mobile phones (such as audio data, image data, phonebook, etc.), etc. In addition, the memory 23 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one magnetic disk storage device, flash memory device or other volatile solid-state storage devices.

The input unit 24 can be used to receive input numbers or character information, and generate key signal input related to user settings and function control of the mobile phone. Specifically, the input unit 24 may include a touch screen 241 and other input devices 242 . The touch screen 241, also referred to as a touch panel, can collect touch operations of the user on or near it (for example, the user uses any suitable object or accessory such as a finger or a stylus to operate on the touch screen 241 or near the touch screen 241), and according to The pre-set programs drive the corresponding connected devices. Optionally, the touch screen 241 may include two parts: a touch detection device and a touch controller. Among them, the touch detection device detects the user's touch orientation, and detects the signal brought by the touch operation, and transmits the signal to the touch controller; the touch controller receives the touch information from the touch detection device, converts it into contact coordinates, and sends it to the to the processor 20, and can receive and execute commands sent by the processor 20. In addition, the touch screen 241 can be implemented in various types such as resistive, capacitive, infrared, and surface acoustic wave. Other input devices 242 may include, but are not limited to, one or more of physical keyboards, function keys (such as volume control keys, power switch keys, etc.), trackballs, mice, and joysticks.

The display unit 25 can be used to display information input by or provided to the user and various menus of the mobile phone. The display unit 25 may include a display panel 251 . Optionally, the display panel 251 may be configured in the form of a liquid crystal display (liquid crystal display, LCD), an organic light-emitting diode (organic light-emitting diode, OLED), or the like. Further, the touch screen 241 can cover the display panel 251, and when the touch screen 241 detects a touch operation on or near it, it is sent to the processor 20 to determine the type of the touch event, and then the processor 20 displays a touch event on the display panel according to the type of the touch event. 251 to provide a corresponding visual output. Although in FIG. 2, the touch screen 241 and the display panel 251 are used as two independent parts to realize the input and output functions of the mobile phone, in some embodiments, the touch screen 241 and the display panel 251 can be integrated to realize the input of the mobile phone. and output functions.

The audio circuit 26, the speaker 261 and the microphone 262 are used to provide an audio interface between the user and the mobile phone. On the one hand, the audio circuit 26 can transmit the electrical signal converted from the received audio data to the speaker 261, and the speaker 261 converts it into an audio signal for output. On the other hand, the microphone 262 converts the collected sound signal into an electrical signal, which is converted into audio data after being received by the audio circuit 26, and then the audio data is output to the RF circuit 21 through the processor 20 to be sent to, for example, another mobile phone, or The audio data is output by processor 20 to memory 23 for further processing.

Optionally, the mobile phone shown in FIG. 2 may also include various sensors. For example, a gyro sensor, a hygrometer sensor, an infrared sensor, a magnetometer sensor, etc., which will not be repeated here.

Optionally, the mobile phone shown in FIG. 2 may also include a Wi-Fi module, a Bluetooth module, etc., which will not be repeated here.

With reference to FIG. 3 , each component of the analysis server provided by the embodiment of the present invention is introduced in detail. As shown in FIG. 3 , the analysis server may include: a processor 30 , a memory 31 , a communication interface 32 and the like.

Processor 10: is the core component of the analysis server, and is used to run the operating system of the analysis server and application programs (including system application programs and third-party application programs) on the analysis server.

In the embodiment of the present invention, the processor 30 may specifically be a central processing unit (central processing unit, CPU), a general purpose processor, a digital signal processor (digital signal processor, DSP), an application-specific integrated circuit (application-specific integrated circuit, ASIC) ), a field programmable gate array (fieldprogrammable gate array, FPGA) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof, which can implement or execute the various described in conjunction with the content disclosed in the embodiments of the present invention Exemplary logical blocks, modules, and circuits; processors may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of DSP and a microprocessor, and the like.

Memory 31: can be used to store software programs and modules, and the processor 30 executes various functional applications and data processing of the analysis server by running the software programs and modules stored in the memory 31. Memory 31 may include one or more computer-readable storage media. The memory 31 includes a program storage area and a data storage area, wherein the program storage area can store an operating system, an application program required by at least one function, etc., and the data storage area can store data created by the analysis server, etc.

In the embodiment of the present invention, the memory 31 may specifically include a volatile memory (volatile memory), such as a random-access memory (random-access memory, RAM); the memory may also include a non-volatile memory (non-volatile memory) , such as read-only memory (read-only memory, ROM), flash memory (flashmemory), hard disk (hard disk drive, HDD) or solid-state drive (solid-state drive, SSD); the memory can also include the above-mentioned types of memory The combination.

Communication interface 32: an interface circuit for the analysis server to communicate with other devices. The communication interface can be a transceiver, a transceiver circuit, and other structures with transceiver functions. The communication interface includes a serial communication interface and a parallel communication interface.

In combination with the above communication system, an embodiment of the present invention provides a wireless resource allocation method, as shown in FIG. 4, the method may include S101-S104:

S101. Each terminal in at least one terminal sends a QoE training sample to an analysis server.

Wherein, a QoE training sample of a terminal includes at least one QoE parameter sample and a QoE value corresponding to the at least one QoE parameter sample, and a QoE parameter sample includes a QoE parameter of a target application of the terminal.

It should be noted that, in this embodiment of the present invention, there may be multiple applications that can be run on the terminal. The above-mentioned target application is an application that is running on the terminal. For some of the applications, the number of target applications may be determined according to actual conditions, which is not limited in this embodiment of the present invention.

In the embodiment of the present invention, the QoE parameters of the terminal include at least one of the following parameters: network rate, network delay, data transmission rate, service packet loss rate, service stall rate, service stall duration, service success rate, service time delay, the operating system of the terminal, the screen resolution of the terminal, the screen size of the terminal, and the model of the terminal. Among them, the network rate and network delay are the parameters of the network layer of the terminal; the data transmission rate, business packet loss rate, business freezing rate, business freezing time, business success rate and business delay are the application layer parameters of the terminal; The operating system of the terminal, the screen resolution of the terminal, the screen size of the terminal, and the model of the terminal are attribute information of the terminal.

Exemplarily, it is assumed that five applications are running on one of the above-mentioned at least one terminal (hereinafter referred to as the first terminal), and these five applications correspond to five parameter samples respectively (parameter sample 1, parameter sample 2, parameter sample Sample 3, parameter sample 4 and parameter sample 5), if the QoE parameters corresponding to each application include network rate, network delay, service packet loss rate and screen resolution of the first terminal, as shown in Table 1, it is the first Example of QoE training samples for endpoints.

Table 1

Optionally, in this embodiment of the present invention, the QoE value corresponding to the at least one QoE parameter sample included in the aforementioned QoE training sample may be realized through offline evaluation. Exemplarily, for an application of the terminal (such as the above-mentioned application 1 shown in Table 1), the QoE parameter of the terminal is a certain set of values (that is, the parameters included in the parameter sample 1 shown in the above-mentioned Table 1), and the user uses the The terminal runs application 1 for service experience. After the user experience is completed, the user's QoE score for the application 1 can be collected by means of questionnaires and volunteer experiments. The QoE score is the QoE value corresponding to parameter sample 1.

In one implementation, the QoE scoring function (for example, setting related software or hardware) can be set in the application of the terminal, so that after using the application, the user can set the QoE scoring function for the application at the QoE scoring option in the application. QoE scoring, that is, to obtain the QoE value.

S102. The analysis server receives a QoE training sample sent by at least one terminal.

S103. The analysis server establishes a QoE weight model according to the QoE training samples.

Wherein, the QoE weight model is a model representing the relationship between the QoE parameter of a terminal and the influence weight of the QoE parameter of the terminal on QoE.

Exemplarily, assuming that one of the QoE parameters of the first terminal is the network rate, according to the network rate of the first terminal and the QoE weight model, the influence weight of the network rate on QoE can be determined, that is, the network rate of the first terminal is taken as The input value is input to the QoE weight model, and the output value of the QoE weight model is the value of the influence weight of the network rate on QoE.

S104. The analysis server sends the QoE weight model to each terminal in the at least one terminal.

In the embodiment of the present invention, after the analysis server obtains the QoE weight model according to the QoE training samples sent by at least one terminal, the analysis server can send the QoE weight model to the at least one terminal, so that each terminal can The influence weight of each terminal's QoE parameter on QoE is determined in real time.

Optionally, in the embodiment of the present invention, the above S103 (that is, the analysis server establishes the QoE weight model according to the QoE training samples) can be specifically implemented through the following S103a-S103b:

S103a. The analysis server uses the QoE parameter sample of each terminal in the at least one terminal as an input value, and uses the QoE value corresponding to the QoE parameter sample of each terminal in the at least one terminal as an output value, to train a QoE model.

Optionally, in this embodiment of the present invention, the analysis server takes the QoE parameter sample of each terminal in at least one terminal as an input value, and uses the QoE value corresponding to the QoE parameter sample of each terminal in at least one terminal as an output value, using Relevant machine learning algorithms (such as neural network algorithms (such as BP neural network models) or linear regression algorithms, etc.), train the QoE model.

In the embodiment of the present invention, the QoE model is a model representing a relationship between a QoE parameter of a terminal and a QoE value corresponding to the QoE parameter of the terminal. For the first terminal, a set of QoE parameters (which may be a combination of any number of parameters among the QoE parameters of the above-mentioned terminals) of an application of the first terminal is input into the QoE model, and this set of the application can be obtained QoE value corresponding to the QoE parameter. Exemplarily, if the QoE parameters of application 1 of the first terminal include network rate, network delay, service packet loss rate, and screen resolution of the first terminal, the network rate value, network delay value, service loss rate The value of the packet rate and the value of the screen resolution of the first terminal are input into the QoE model as a set of input vectors, and the input value of the model is the QoE value corresponding to the set of QoE parameters.

S103b. According to the QoE model, the analysis server determines the QoE weight model as

Wherein, α is the impact weight of the first QoE parameter of a target application of the first terminal on QoE, y is the first QoE parameter of a target application of the first terminal, p is the value of QoE corresponding to y, and _y1 is y t times, p ₁ is the QoE value corresponding to y ₁ determined according to the QoE model, where t>1.

In the embodiment of the present invention, the influence weight of a QoE parameter of a certain application of the terminal on QoE may be determined according to the foregoing QoE weight model.

It should be noted that the above-mentioned _y1 is a group of QoE parameters after scaling y, and its scaling multiple is t, and the value of t can be determined according to actual usage requirements (for example, 1<t<100). Examples are not specifically limited.

Optionally, in the embodiment of the present invention, the above QoE weight model may also be λ>0, λ can be understood as an adjustment coefficient, since there may be factors other than the above y that also have a certain degree of influence on QoE, therefore, λ is used to adjust α appropriately.

In the embodiment of the present invention, through the interaction between the terminal and the analysis server, the analysis server trains to obtain a QoE weight model, and sends the QoE weight model to at least one terminal, so as to allocate wireless resources for at least one terminal. The following embodiments take one of at least one terminal as an example to illustrate the method for allocating radio resources provided by the embodiments of the present invention. As shown in Figure 5, the method may include S201-S204:

S201. The terminal receives the QoE weight model sent by the analysis server.

For a specific description of the QoE weight model, reference may be made to the relevant description of the above S103 (including S103a-S103b), which will not be repeated here.

S202. The terminal acquires a first QoE parameter of the terminal, where the first QoE parameter is a real-time QoE parameter.

Wherein, the first QoE parameter of the terminal includes the first QoE parameter value of each application in the target application.

In the embodiment of the present invention, the first QoE parameter of the terminal is any one of the above-mentioned QoE parameters of the terminal. For example, if the target application of the terminal includes 5 applications, the first QoE parameter is the application layer of the terminal The data transmission rate of the terminal, then the first QoE parameter of the terminal may include the real-time data transmission rate of each of the 5 applications.

S203. The terminal determines the influence weight of the first QoE parameter of the terminal on QoE according to the first QoE parameter of the terminal and the QoE weight model.

In the embodiment of the present invention, the impact weight of the first QoE parameter determined by the terminal on QoE is the overall impact weight of the first QoE parameters of all target applications of the terminal on QoE.

Combined with Fig. 5, as shown in Fig. 6, the above S203 can be realized through S203a-S203b:

S203a. The terminal determines, according to the first QoE parameter value of each application in the target application and the QoE weight model, the influence weight of the first QoE parameter value of each application in the target application to QoE.

In the embodiment of the present invention, the terminal can use the first QoE parameter value of each application in the target application as an input value, and input it into the QoE weight model received by the terminal, so as to obtain the first QoE parameter pair of each application as an output value The impact weight of QoE.

S203b. According to the impact weight of the first QoE parameter value of each application in the target application on QoE and the weight of each application in the target application, the terminal adopts the formula: W=w ₁ ×x ₁ +w ₂ ×x ₂ +...w _n × x _n , to determine the influence weight of the first QoE parameter of the terminal on QoE.

Among them, W is the influence weight of the first QoE parameter of the terminal on QoE, w _n is the influence weight of the first QoE parameter value of the nth application in the target application to QoE, and x _n is the weight of the nth application in the target application , n≥1.

In the embodiment of the present invention, it is assumed that the terminal has n applications, and the first QoE parameter of each application in the n applications is c ₁ , c ₂ ,..., c _n , and through the above S203a, it can be determined The influence weight of the first QoE parameter of each application on QoE is w ₁ , w ₂ , ..., w _n , and the weight of each application in n applications is x ₁ , x ₂ , ..., x _n , so that The above formula W=w ₁ ×x ₁ +w ₂ ×x ₂ +... _wn ×x _n determines that the influence weight of the first QoE parameter of the terminal on QoE is W.

S204. The terminal sends to the radio resource manager the influence weight of the first QoE parameter of the terminal on QoE.

In the embodiment of the present invention, after the terminal calculates the influence weight of the terminal's first QoE parameter on QoE, the terminal may send the influence weight of the terminal's first QoE parameter to QoE to the radio resource manager, so that the radio resource manager Allocate radio resources to the terminal according to the impact weight of the first QoE parameter of the terminal on QoE.

It should be noted that, in the embodiment of the present invention, each of the at least one terminal may determine the influence weight of the first QoE parameter of each terminal on QoE through the above S201-S204.

In the example of the present invention, the radio resource management can receive the influence weights of the respective first QoE parameters on QoE sent by all terminals in an area (for example, a wireless network cell), so that the radio resource management can influence the QoE according to the first QoE parameters of all terminals. The influence weight of QoE and related resource allocation algorithm allocate wireless resources for each terminal in the area.

In an optional implementation manner, the radio resource manager may allocate radio resources to each terminal according to the magnitude of the impact weight of the first QoE parameter on QoE. For example, the wireless resource manager sorts the impact weights of the first QoE parameters of each terminal on QoE from large to small, and allocates wireless resources from more to less for each terminal in an arithmetic sequence according to the order from large to small .

Exemplarily, it is assumed that an infinite cell includes 5 terminals, the first QoE parameter is the network rate, the 5 terminals (terminal 1, terminal 2, terminal 3, terminal 4 and terminal 5 respectively, the network rate of these 5 terminals The impact weights on QoE are 0.3, 0.25, 0.2, 0.15, and 0.1. According to the impact weight of the network rate on QoE, after sorting the five terminals, allocate wireless resources to each terminal according to the above arithmetic sequence method , if the total value of wireless resources is known to be S, the first item of the arithmetic sequence is a1, and the tolerance of the arithmetic sequence is d, so the wireless resources of each terminal can be determined according to the summation formula of the arithmetic sequence. Table 2 Shown is an example in which the radio resource manager allocates radio resources for each terminal.

Table 2

The influence weight of network rate on QoE terminal allocated wireless resources 0.3 Terminal 1 a1+4d 0.25 Terminal 2 a1+3d 0.2 Terminal 3 a1+2d 0.15 Terminal 4 a1+d 0.1 Terminal 5 a1

It should be noted that, in the embodiment of the present invention, the wireless resource manager may also use other resource allocation methods to allocate wireless resources for each terminal according to the impact weight of the first QoE parameter of each terminal sent by each terminal on QoE. It is determined according to actual usage requirements, and is not specifically limited in this embodiment of the present invention.

In the wireless resource allocation method provided by the embodiment of the present invention, the analysis server trains the QoE weight model according to the QoE training sample sent by the terminal, and sends the QoE weight model to the terminal, and then the terminal acquires a real-time QoE parameter of the terminal (such as the above-mentioned first QoE parameter), and determine the influence weight of the first QoE parameter on QoE according to the QoE weight model, and the terminal sends the influence weight of the first QoE parameter of the terminal to the radio resource manager, so that the radio resource management The device allocates wireless resources to the terminal according to the impact weight of the first QoE parameter of the terminal on QoE. Compared with the prior art, in the embodiment of the present invention, in the process of allocating wireless resources for the terminal, the impact weight of each parameter on QoE is determined from the perspective of the impact of each performance parameter of the terminal on the quality of experience of the user, Therefore, radio resources can be allocated to the terminal according to the influence weight of each parameter on QoE. In this way, the radio resources allocated to the terminal can effectively improve the quality of experience of the user while ensuring the smooth operation of the service of the terminal.

In the case of dividing each functional module corresponding to each function, FIG. 7 shows a possible structural diagram of the terminal involved in the above embodiment. As shown in FIG. 7, the terminal may include: a receiving module 40, an acquisition module 41 , determining module 42 and sending module 43 .

The receiving module 40 is configured to receive the QoE weight model sent by the analysis server. The QoE weight model is a model representing the relationship between the QoE parameter of the terminal and the influence weight of the terminal QoE parameter on QoE. For example, the above receiving module 40 can be used for Support the terminal to execute S201 in the above method embodiment; the acquisition module 41 is configured to acquire the first QoE parameter of the terminal, the first QoE parameter of the terminal includes the first QoE parameter value of each application in the target application, and the first QoE The parameters are real-time QoE parameters. For example, the acquisition module 41 can be used to support the terminal to execute S202 in the above method embodiment; The weight model is used to determine the impact weight of the first QoE parameter of the terminal on QoE. For example, the determination module 42 can be used to support the terminal to perform S203 (including S203a-S203b) in the above method embodiment; The transmitter sends the influence weight of the first QoE parameter of the terminal to QoE determined by the determination module 42, so that the radio resource manager allocates wireless resources for the terminal according to the influence weight of the first QoE parameter of the terminal to QoE. For example, the sending module 43 can be used to The support terminal executes S204 in the above method embodiment. Wherein, all relevant content of each step involved in the above-mentioned method embodiment can be referred to the function description of the corresponding function module, and will not be repeated here.

Optionally, the sending module 43 is further configured to send at least one QoE parameter sample and the QoE value corresponding to the at least one QoE parameter sample to the analysis server before the receiving module 40 receives the QoE weight model sent by the analysis server, a QoE The parameter sample includes a QoE parameter of a target application of the terminal, for example, the sending module 43 may be used to support the terminal to execute S101 in the above method embodiment.

Optionally, the above determination module 42 is specifically configured to determine the impact weight of the first QoE parameter value of each application in the target application on QoE according to the first QoE parameter value and the QoE weight model of each application in the target application of the terminal ; and according to the influence weight of the first QoE parameter value of each application in the target application on QoE and the weight of each application in the target application, the formula: W=w ₁ ×x ₁ +w ₂ ×x ₂ +...w _n × x _n , determine the influence weight of the first QoE parameter of the terminal on QoE, wherein, W is the influence weight of the first QoE parameter of the terminal on QoE, w _n is the first QoE parameter value pair of the nth application in the target application QoE influence weight, x _n is the weight of the nth application in the target application, n≥1.

In the case of using an integrated unit, FIG. 8 shows a possible structural diagram of the terminal involved in the above embodiment. As shown in FIG. 8 , the terminal may include: a processing module 50 and a communication module 51 . The processing module 50 may be used to control and manage the actions of the terminal, for example, the processing module 50 may be used to support the terminal to execute S202 and S203 (including S203a-S203b) in the above method embodiment, and/or for the Other processes of technology. The communication module 51 may be used to support communication between the terminal and other network entities, for example, the communication module 51 may be used to support the terminal to perform S101, S201 and S204 in the above method embodiments. Optionally, as shown in FIG. 8 , the terminal may further include a storage module 52 for storing program codes and data of the terminal.

Wherein, the processing module 50 may be a processor or a controller (such as the above-mentioned processor 20 shown in FIG. 2 ), such as a central processing unit (central processing unit, CPU), a general purpose processor, a digital signal processor (digital signal processor, DSP), application-specific integrated circuit (ASIC), field programmable gate array (field programmable gate array, FPGA) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof . It can implement or execute various exemplary logical blocks, modules and circuits described in conjunction with the disclosure of the embodiments of the present invention. The above-mentioned processors may also be a combination of computing functions, for example, a combination of one or more microprocessors, a combination of DSP and a microprocessor, and so on. The communication module 51 may be a transceiver, a transceiver circuit, or a communication interface (for example, it may be the aforementioned RF circuit 21 as shown in FIG. 2 ). The storage module 52 may be a memory (for example, it may be the above-mentioned memory 23 shown in FIG. 2 ).

When the processing module 50 is a processor, the communication module 51 is a transceiver, and the storage module 52 is a memory, the processor, the transceiver, and the memory may be connected through a bus. The bus may be a peripheral component interconnect standard (peripheral component interconnect, PCI) bus or an extended industry standard architecture (extended Industry standard architecture, EISA) bus or the like. The bus can be divided into address bus, data bus, control bus and so on.

In the case of dividing each functional module corresponding to each function, FIG. 9 shows a possible structural diagram of the analysis server involved in the above embodiment. As shown in FIG. 9 , the analysis server may include: a receiving module 60 , a building module 61 and a sending module 62 .

The receiving module 60 is configured to receive a QoE training sample sent by at least one terminal, a QoE training sample of a terminal includes at least one QoE parameter sample and a QoE value corresponding to at least one QoE parameter sample, and a QoE parameter sample includes a target application of the terminal QoE parameters, for example, the receiving module 60 can be used to support the analysis server to execute S102 in the above method embodiment; the construction module 61 is used to establish a QoE weight model according to the QoE training samples, for example, the construction module 61 can be used to support the analysis server to execute S103 (including S103a-S103b) in the above method embodiment; the sending module 62, configured to send the QoE weight model to at least one terminal, for example, the sending module 62 can be used to support the analysis server to execute S104 in the above method embodiment. Wherein, all relevant content of each step involved in the above-mentioned method embodiment can be referred to the function description of the corresponding function module, and will not be repeated here.

Optionally, the above construction module 61 is specifically configured to use the QoE parameter sample of each terminal in the at least one terminal as an input value, and use the QoE value corresponding to the QoE parameter sample of each terminal in the at least one terminal as an output value, Training the QoE model, the QoE model is a model representing the relationship between the QoE parameter of the terminal and the QoE value corresponding to the QoE parameter of the terminal; and according to the QoE model, it is determined that the QoE weight model is α is the influence weight of the first QoE parameter of a target application of the first terminal on QoE, y is the first QoE parameter of a target application of the first terminal, p is the value of QoE corresponding to y, and y ₁ is t of y times, p ₁ is the QoE value corresponding to y ₁ determined according to the QoE model, and t>1.

In the case of using an integrated unit, FIG. 10 shows a possible structural diagram of the analysis server involved in the above embodiment. As shown in FIG. 10 , the analysis server may include: a processing module 70 and a communication module 71 . The processing module 70 can be used to control and manage the actions of the analysis server, for example, the processing module 70 can be used to support the analysis server to execute S103 (including S103a-S103b) in the above method embodiment, and/or for the Other processes of technology. The communication module 71 may be used to support communication between the analysis server and other network entities, for example, the communication module 71 may be used to support the analysis server to execute S102 and S104 in the above method embodiments. Optionally, as shown in FIG. 10 , the terminal may further include a storage module 72 for storing program codes and data of the analysis server.

Wherein, processing module 70 can be processor or controller (for example can be above-mentioned processor 30 as shown in Figure 3), for example can be CPU, general processor, DSP, ASIC, FPGA or other programmable logic device, transistor Logical devices, hardware components, or any combination thereof. It can implement or execute various exemplary logical blocks, modules and circuits described in conjunction with the disclosure of the embodiments of the present invention. The above-mentioned processors may also be a combination of computing functions, for example, a combination of one or more microprocessors, a combination of DSP and a microprocessor, and so on. The communication module 71 may be a transceiver, a transceiver circuit, or a communication interface (for example, it may be the above-mentioned communication interface 32 shown in FIG. 3 ). The storage module 72 may be a memory (for example, it may be the above-mentioned memory 41 shown in FIG. 3 ).

When the processing module 70 is a processor, the communication module 71 is a transceiver, and the storage module 72 is a memory, the processor, the transceiver, and the memory may be connected through a bus. The bus can be a PCI bus or an EISA bus or the like. The bus can be divided into address bus, data bus, control bus and so on.

In the above embodiments, all or part of them may be implemented by software, hardware, firmware or any combination thereof. When implemented using a software program, it may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer instructions are loaded and executed on the computer, the processes or functions according to the embodiments of the present invention will be generated in whole or in part. The computer can be a general purpose computer, special purpose computer, computer network, or other programmable device. The computer instructions may be stored in or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transferred from a website, computer, server, or data center by wire (such as coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (such as infrared, wireless, microwave, etc.) to another website site, computer, server or data center. The computer-readable storage medium may be any available medium that can be accessed by a computer, or a data storage device including a server, a data center, and the like integrated with one or more available media. The available medium may be a magnetic medium (for example, a floppy disk, a magnetic disk, a magnetic tape), an optical medium (for example, a digital video disc (digital video disc, DVD)), or a semiconductor medium (for example, a solid state drive (solid state drives, SSD)), etc. .

Through the description of the above embodiments, those skilled in the art can clearly understand that for the convenience and brevity of the description, only the division of the above-mentioned functional modules is used as an example for illustration. In practical applications, the above-mentioned functions can be allocated according to needs It is completed by different functional modules, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. For the specific working process of the above-described system, device, and unit, reference may be made to the corresponding process in the foregoing method embodiments, and details are not repeated here.

In the several embodiments provided in this application, it should be understood that the disclosed system, device and method can be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of the modules or units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be Incorporation may either be integrated into another system, or some features may be omitted, or not implemented. In another point, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, and the indirect coupling or communication connection of devices or units may be in electrical, mechanical or other forms.

The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, each unit may exist separately physically, or two or more units may be integrated into one unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units.

If the integrated unit is realized in the form of a software function unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or part of the contribution to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium , including several instructions to make a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: flash memory, mobile hard disk, read-only memory, random access memory, magnetic disk or optical disk, and other various media capable of storing program codes.

The above is only a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Anyone skilled in the art can easily think of changes or substitutions within the technical scope disclosed in the present invention. Should be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims (13)

1. a kind of wireless resource allocation methods, which is characterized in that including：

Terminal receives the Quality of experience QoE weight models that Analysis server is sent, and the QoE weight models are the expression terminal QoE parameters and the terminal QoE parameters to the model of the relation between the weighing factor of QoE；

The terminal obtains the first QoE parameters of the terminal, and the first QoE parameters of the terminal are included in intended application each First QoE parameter values of application, the first QoE parameters are real-time QoE parameters；

First QoE parameter and the QoE weight model of the terminal according to the terminal determine the first QoE of the terminal Parameter is to the weighing factor of QoE；

The terminal sends weighing factor of the first QoE parameters to QoE of the terminal to radio resource manager, so that institute Radio resource manager is stated wirelessly to provide the weighing factor of QoE for the terminal distribution according to the first QoE parameters of the terminal Source.

2. according to the method described in claim 1, it is characterized in that,

The QoE parameters of the terminal include following at least one parameters：Network rate, network delay, message transmission rate, business Packet loss, business interim card rate, service card length, service success rate, service delay, the operating system of the terminal, the end immediately The model of the screen resolution at end, the screen size of the terminal and the terminal.

3. method according to claim 1 or 2, which is characterized in that the terminal receives what the Analysis server was sent Before QoE weight models, the method further includes：

The terminal sends at least one QoE parameters sample and at least one QoE parameters sample to the Analysis server The value of corresponding QoE, a QoE parameters sample include the QoE parameters of an intended application of the terminal.

4. according to the method described in claims 1 to 3 any one, which is characterized in that the terminal is according to the of the terminal One QoE parameters and the QoE weight models determine weighing factor of the first QoE parameters to QoE of the terminal, including：

The terminal determines institute according to the first QoE parameter values and the QoE weight models each applied in the intended application State the weighing factor of the first QoE parameter values each applied in intended application to QoE；

The terminal is according to weighing factor and the mesh of the first QoE parameter values each applied in the intended application to QoE The weight each applied in mark application, using formula：W=w₁×x₁+w₂×x₂+…w_n×x_n, determine the first QoE of the terminal Parameter to the weighing factor of QoE, wherein, W is the first QoE parameters of the terminal to the weighing factor of QoE, w_nFor the target The first QoE parameter values of n-th of application are to the weighing factor of QoE, x in_nFor the power of n-th of application in the intended application Weight, n >=1.

5. a kind of wireless resource allocation methods, which is characterized in that including：

Analysis server receives the Quality of experience QoE training samples that at least one terminal is sent, the QoE training samples of a terminal Value including at least one QoE parameters sample and the corresponding QoE of at least one QoE parameters sample, a QoE parameter sample The QoE parameters of an intended application including terminal；

The Analysis server establishes QoE weight models according to the QoE training samples；

The Analysis server sends the QoE weight models at least one terminal.

6. centralized management device according to claim 5, which is characterized in that the Analysis server is instructed according to the QoE Practice sample, establish QoE weight models, including：

The Analysis server is using the QoE parameters sample of each terminal at least one terminal as input value, by described in The value of the corresponding QoE of QoE parameter samples of each terminal is as output valve at least one terminal, and training QoE models are described The model of relation of the QoE models between the value of the QoE parameters QoE corresponding with the QoE parameters of terminal of expression terminal；

The Analysis server determines that the QoE weight models are according to the QoE modelsα is first terminal For first QoE parameters of one intended application to the weighing factor of QoE, y is the first of an intended application of the first terminal QoE parameters, p be the corresponding QoE of y value, y₁For t times of y, p₁For the y determined according to the QoE models₁The value of corresponding QoE, T ＞ 1.

7. centralized management device according to claim 5 or 6, which is characterized in that

The QoE parameters of one terminal include following at least one parameters：Network rate, network delay, message transmission rate, business Packet loss, business interim card rate, service card length, service success rate, service delay, the operating system of the terminal, the end immediately The model of the screen resolution at end, the screen size of the terminal and the terminal.

8. a kind of terminal, which is characterized in that including receiving module, acquisition module, determining module and sending module；

The receiving module, for receiving the Quality of experience QoE weight models of Analysis server transmission, the QoE weight models To represent the model of the QoE parameters of the terminal and the terminal QoE parameters to the relation between the weighing factor of QoE；

The acquisition module, for obtaining the first QoE parameters of the terminal, the first QoE parameters of the terminal include target The first QoE parameter values each applied in, the first QoE parameters are real-time QoE parameters；

The determining module, for the first QoE parameters of the terminal obtained according to the acquisition module and the reception mould The QoE weight models that block receives determine weighing factor of the first QoE parameters to QoE of the terminal；

The sending module, for sending the first QoE of the terminal that the determining module determines to radio resource manager Parameter to the weighing factor of QoE so that the radio resource manager according to the first QoE parameters of the terminal to QoE's Weighing factor is the terminal distribution radio resource.

9. terminal according to claim 8, which is characterized in that

The QoE parameters of the terminal include following at least one parameters：Network rate, network delay, message transmission rate, business Packet loss, business interim card rate, service card length, service success rate, service delay, the operating system of the terminal, the end immediately The model of the screen resolution at end, the screen size of the terminal and the terminal.

10. terminal according to claim 8 or claim 9, which is characterized in that

The sending module is additionally operable to before the QoE weight models for receiving that the Analysis server is sent in the receiving module, At least one QoE parameters sample and the corresponding QoE of at least one QoE parameters sample are sent to the Analysis server Value, a QoE parameters sample include the QoE parameters of an intended application of the terminal.

11. according to the terminal described in claim 8 to 10 any one, which is characterized in that

The determining module, specifically for according to the first QoE parameter values each applied in the intended application and QoE power Molality type determines weighing factor of the first QoE parameter values each applied in the intended application to QoE；And according to described The first QoE parameter values each applied in intended application are to the power each applied in the weighing factor of QoE and the intended application Weight, using formula：W=w₁×x₁+w₂×x₂+…w_n×x_n, determine weighing factor of the first QoE parameters to QoE of the terminal, Wherein, W is the first QoE parameters of the terminal to the weighing factor of QoE, w_nFor the of n-th of application in the intended application One QoE parameter values are to the weighing factor of QoE, x_nFor the weight of n-th of application in the intended application, n >=1.

12. a kind of Analysis server, which is characterized in that including receiving module, structure module and sending module；

The receiving module, for receiving the Quality of experience QoE training samples that at least one terminal is sent, the QoE of a terminal Training sample includes at least one QoE parameters sample and the value of the corresponding QoE of at least one QoE parameters sample, a QoE Parameter sample includes the QoE parameters of an intended application of terminal；

The structure module, for according to the QoE training samples, establishing QoE weight models；

The sending module, for sending the QoE weight models at least one terminal.

13. Analysis server according to claim 11, which is characterized in that

The structure module, specifically for using the QoE parameters sample of each terminal at least one terminal as input value, Using the value of the corresponding QoE of QoE parameter samples of each terminal at least one terminal as output valve, training QoE models, The model of relation of the QoE models between the value of the QoE parameters QoE corresponding with the QoE parameters of terminal of expression terminal；And And according to the QoE models, determine that the QoE weight models areα is the of an intended application of first terminal One QoE parameters are to the weighing factor of QoE, and y is the first QoE parameters of an intended application of the first terminal, and p corresponds to for y QoE value, y₁For t times of y, p₁For the y determined according to the QoE models₁The value of corresponding QoE, t ＞ 1.