CN116234018B - 5G-TSN fusion deployment scene-oriented downlink wireless resource scheduling method and device - Google Patents

Abstract

The present invention provides a downlink wireless resource scheduling method and device for 5G-TSN integrated deployment scenarios, and relates to the field of wireless communication technology. It includes: pre-allocating scheduling resources by designing a uniform algorithm; uploading service requests for received service requests to obtain service request information data; judging the service request type according to the service request information data; making judgments based on the judgment Allocate resources according to the final service request type; delegate the allocated resources to complete downlink wireless resource scheduling for 5G‑TSN converged deployment scenarios. The present invention prioritizes delay-sensitive services, that is, TSN services, in 5G NR downlink wireless resource scheduling, and uses different scheduling methods based on resource preemption and resource reservation technologies to meet the differentiated delay requirements of different types of TSN services. Ensure that eMBB users are not affected by resource preemption.

Description

A downlink wireless resource scheduling method for 5G-TSN integrated deployment scenarios and device

Technical field

The present invention relates to the technical field of wireless communications, and in particular, to a downlink wireless resource scheduling method and device for 5G-TSN integrated deployment scenarios.

Background technique

5G+TSN is an important foundation for realizing wireless industrial Internet and flexible manufacturing. In the 5G-TSN (Time-Sensitive Networking) integrated deployment scenario, the 5G end-to-end network includes terminals, wireless networks, bearer networks and core networks, and serves as a logical bridge in TSN. The user plane and control plane are converted and interoperable between TSN and 5G networks through the TSN converter function. When TSN is forwarding data, it can perform queue scheduling for business data of different priorities in the Industrial Internet, thereby achieving differentiated quality assurance. In the industrial Internet environment, TSN can model and define the business flow characteristics involved in various industrial applications, and on this basis, provide different priorities and scheduling mechanisms. There are many types of business traffic in the Industrial Internet, such as video, audio, synchronous real-time control flow, events, configuration & diagnosis, etc.

Different business flows in the industrial Internet have different service level agreement (Service Level Agreement, SLA) requirements. According to periodicity, business flows can be divided into two types: periodic and non-periodic. Synchronous real-time streaming has the highest requirements on latency, which is mainly used for motion control. Its characteristics are: periodic packet sending, with a period generally less than 2ms; the length of data sent in each cycle is relatively stable, generally not exceeding 100B; end-to-end Transmission has a time limit requirement, that is, the data needs to arrive at the opposite end before a specific absolute time. Event, configuration & diagnosis, and Best Effort categories have no specific latency requirements; audio and video categories mainly rely on frame rate and sampling rate; periodic loop and network control categories have latency requirements, but they are lower than synchronous real-time categories. The above services can correspond to enhanced mobile broadband (eMBB) services and time-critical services (TSN services). The characteristics of eMBB services are large traffic demand and high concurrency, but low latency requirements. (about 10ms), TSN business features are small single data volume requirements, high latency requirements (0.5-5ms), and reliability also needs to be guaranteed. How to balance and ensure the transmission of two types of services while sharing the same base station frequency domain resources is an urgent problem that needs to be solved.

Contents of the invention

In view of the problem in the existing technology of how to balance and ensure the transmission of two types of services while sharing the time and frequency domain resources of the same base station, the present invention proposes a downlink wireless resource scheduling method and device for 5G-TSN integrated deployment scenarios. .

In order to solve the above technical problems, the present invention provides the following technical solutions:

On the one hand, a downlink wireless resource scheduling method for 5G-TSN integrated deployment scenarios is provided. The method is applied to electronic devices and includes the following steps:

S1: Pre-allocate scheduling resources by designing a uniform algorithm; upload the received business requests to obtain business request information data;

S2: Determine the service request type of the service request based on the service request information data; perform resource allocation based on the judged service request type;

S3: Decentralize the allocated resources to complete downlink wireless resource scheduling for 5G-TSN integrated deployment scenarios.

Optionally, in S1, the scheduling resources are pre-allocated by designing a uniform algorithm, including:

When the scheduler located at the gNB performs data transmission in each slot, the scheduler performs information estimation based on pre-stored information; the information estimation includes: estimating each mini- The number and size of periodic TSN services on the slot; the slot is the standard scheduling unit of the 5G network;

Perform uniform algorithm calculations on periodic TSN services to determine the minimum resource demand on the mini-slot; determine the γ _res value based on the minimum resource demand, and divide the reserved resources K _γres based on this;

After receiving the eMBB service request, it immediately allocates resources to eMBB in the next slot. After gNB receives the eMBB service request, it immediately allocates resources to eMBB in the next slot. According to the characteristics of the eMBB service, the resources allocated to eMBB are divided into non-preemptible areas K _α and the preemptible area K _β .

Optionally, the uniform algorithm is used to evenly distribute low priority TSN services on the mini-slot of a time slot, including:

Enter the low priority TSN service distribution within each mini-slot in a slot from the scheduler;

Arrange the low priority TSN services on the mini-slot from large to small according to their resource requirements to form a sequence;

Take the current maximum value from the arranged sequence and arrange it in the mini-slot with the least scheduled resources;

Store the status of all arranged mini-slots in after-Array;

Output the distribution of low priority TSN services in each mini-slot in the next slot after being arranged by a uniform algorithm.

Optionally, in S1, upload the received service request to obtain the service request information data, including:

After the high priority TSN service request arrives, it preempts the preemptible resources allocated to the eMBB service to meet the demand. The low priority TSN service preferentially uses the reserved resources. When the reserved resources are insufficient, it preempts the preemptible resources of the eMBB service;

The UE measures the user-level pilot CSI-RS SINR and reports the UE's CSI, SR, HRAQ response, etc. to the gNB through the PUCCH;

When the scheduler schedules users and allocates resources to users, it combines the channel quality information and obtains the data size to be transmitted according to the parameters of the channel quality information and converts it into the required number of RBs; the channel quality information includes: CQI, RI, PMI, the above three are channel quality information based on the UE's instantaneous downlink channel quality estimation.

Optionally, in S2, the service request type is judged based on the service request information data; resource allocation is performed based on the judged service request type, including:

According to the service request information data, the service request is judged through the scheduler in each mini-slot;

If it is determined to be a high priority TSN service, the eMBB service resources that support preemption in the K _β part of the mini-slot will be immediately prioritized;

If it is determined to be a low priority TSN service, it is judged whether there are enough reserved resources in the mini-slot. If the reserved resources are sufficient, it is directly allocated to the low priority TSN service. Otherwise, the K _β part of the mini-slot is occupied. Supports preempted eMBB business resources;

If it is determined to be an eMBB service, resources are allocated for the eMBB service in the next time slot.

Optionally, after the low priority TSN service arrives, the reserved resources are used first, and if the reserved resources are insufficient, eMBB resources are preempted.

Optionally, in S3, the allocated resources are decentralized to complete downlink wireless resource scheduling for 5G-TSN integrated deployment scenarios, including:

The base station sends scheduling information through the PDCCH channel, and the scheduling information is the downlink scheduling control indication DCI;

The terminal obtains the PDSCH and PUSCH resources allocated by itself during this scheduling period through the PDCCH channel, and completes the downlink wireless resource scheduling for the 5G-TSN integrated deployment scenario.

On the one hand, a downlink radio resource scheduling device for 5G-TSN integrated deployment scenarios is provided. The device is applied to electronic equipment. The device includes:

The resource pre-allocation module is used to pre-allocate scheduling resources by designing a uniform algorithm; upload business requests to received business requests and obtain business request information data;

The resource scheduling module is used to judge the service request type of the service request based on the service request information data; and perform resource allocation based on the judged service request type;

The resource delivery module is used to delegate the allocated resources to complete downlink wireless resource scheduling for 5G-TSN integrated deployment scenarios.

Optionally, the resource pre-allocation module is further configured to perform information prediction based on pre-stored information through the scheduler when the scheduler located at the gNB performs data transmission in each slot; the information prediction includes: Estimate the number and size of periodic TSN services on each mini-slot in the next slot; the slot is the standard scheduling unit of the 5G network;

Perform uniform algorithm calculation on periodic TSN services through uniform algorithm to determine the minimum resource demand on the mini-slot; determine the γ _res value based on the minimum resource demand, and divide the reserved resources K _γres accordingly;

After receiving the eMBB service request, it immediately allocates resources to eMBB in the next slot. After gNB receives the eMBB service request, it immediately allocates resources to eMBB in the next slot. According to the characteristics of the eMBB service, the resources allocated to eMBB are divided into non-preemptible areas K _α and the preemptible area K _β .

Optionally, the resource pre-allocation module is further used to input the low priority TSN service distribution within each mini-slot in a slot from the scheduler;

Arrange the low priority TSN services on this mini-slot from large to small according to their resource requirements to form a sequence;

Take the current maximum value from the arranged sequence and arrange it in the mini-slot with the least scheduled resources;

Store the status of all arranged mini-slots in after-Array;

Output the distribution of low priority TSN services in each mini-slot in the next slot after being arranged by a uniform algorithm.

On the one hand, an electronic device is provided. The electronic device includes a processor and a memory. At least one instruction is stored in the memory. The at least one instruction is loaded and executed by the processor to implement the above-mentioned 5G-oriented method. -Downlink wireless resource scheduling method in TSN converged deployment scenario.

On the one hand, a computer-readable storage medium is provided. At least one instruction is stored in the storage medium. The at least one instruction is loaded and executed by a processor to implement the above-mentioned downlink wireless operation for a 5G-TSN converged deployment scenario. Resource scheduling methods.

The above technical solutions of the embodiments of the present invention have at least the following beneficial effects:

In the embodiment of the present invention, the present invention mainly proposes a new downlink wireless resource scheduling method for 5G-TSN integrated deployment scenarios. In the industrial Internet scenario, different business flows have different service level agreement (SLA) requirements. According to periodicity classification, TSN service flows can be divided into periodic and non-periodic (burst) types. TSN services are divided into high priority TSN services and low priority TSN services according to the delay requirement of less than or equal to or greater than 5ms. Among them, high priority TSN services have high latency requirements and are highly bursty. The low priority TSN service has small delay requirements and weak burstiness. The difference between the two is reflected in the delay requirements. Based on this, differentiated bearer services are provided to ensure the transmission quality of the full-service shared network bearer. At the same time, there are also event, configuration & diagnosis, and Best Effort types that have no specific requirements for delay, and audio and video types of eMBB services that rely on frame rate and sampling rate. They have large traffic requirements and high concurrency, but do not have high latency requirements.

Description of the drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can also be obtained based on these drawings without exerting creative efforts.

Figure 1 is a flow chart of a downlink wireless resource scheduling method for 5G-TSN converged deployment scenarios provided by an embodiment of the present invention;

Figure 2 is a diagram of resource division within a slot in the time-frequency domain provided by an embodiment of the present invention;

Figure 3a is a ranking diagram of the effects of the low priority TSN service uniform distribution algorithm provided by the embodiment of the present invention;

Figure 3b is an unordered diagram of the effect of the low priority TSN service uniform distribution algorithm provided by the embodiment of the present invention;

Figure 4 is a block diagram of a downlink radio resource scheduling device for 5G-TSN converged deployment scenarios provided by an embodiment of the present invention;

FIG. 5 is a schematic structural diagram of an electronic device provided by an embodiment of the present invention.

Detailed ways

In order to make the purpose, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings of the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. Based on the described embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present invention.

Embodiments of the present invention provide a downlink wireless resource scheduling method for 5G-TSN integrated deployment scenarios. The method can be implemented by an electronic device, and the electronic device can be a terminal or a server. As shown in Figure 1, the flow chart of the downlink wireless resource scheduling method for 5G-TSN converged deployment scenarios, the processing flow of this method may include the following steps:

S101: Pre-allocate scheduling resources by designing a uniform algorithm; upload the received service requests to obtain service request information data.

In a feasible implementation manner, TSN services are divided into high priority TSN services and low priority TSN services. Among them, high priority TSN services have high latency requirements and are highly bursty. The low priority TSN service has small delay requirements, weak burstiness, and periodicity. Based on the difference in delay requirements between the two, it is divided into two levels of delay QoS requirements to provide differentiated bearer services.

In a feasible implementation, the present invention makes scheduling model assumptions before scheduling, including:

(1) Frequency non-selective channel: The relative delay of multiple signals arriving at the receiver is much less than the time of one symbol, that is, a channel in which multiple signals arrive at the receiver almost at the same time without causing inter-symbol interference.

(2) Low priority TSN users preempt resources periodically, and the arrival time and data size are known: there is an extremely deterministic end-to-end service in the 5G-TSN converged deployment architecture, and this type of service has high reliability and low latency requirements , it is also periodic, and the size of the packet required by the business is basically known.

(3) There is basically no situation where TSN traffic is blocked due to excessive TSN services within TTI: TSN demand that exceeds the system capacity is blocked by the scheduler, so it is almost certain that TSN blocking traffic on each mini-slot is a rare event, which satisfies The reliability expected from TSN services.

(4) The eMBB service uses resources in the entire slot: Since the focus of the present invention is on the scheduling and preemption of TSN services, in order to simplify the model, it is assumed that the eMBB service occupies resources in the entire time-frequency domain.

Based on the above assumptions, the resource scheduling model was established.

In a feasible implementation, when the scheduler located at the gNB performs data transmission in each slot, the scheduler performs information prediction based on pre-stored information; the information prediction includes: predicting the next The number and size of periodic TSN services on each mini-slot in the slot time slot; the slot is the standard scheduling unit of the 5G network;

Perform uniform algorithm calculations on periodic TSN services to determine the minimum resource demand on the mini-slot; determine the γ _res value based on the minimum resource demand, and divide the reserved resources K _γres based on this;

After receiving the eMBB service request, it immediately allocates resources to eMBB in the next slot. After gNB receives the eMBB service request, it immediately allocates resources to eMBB in the next slot. According to the characteristics of the eMBB service, the resources allocated to eMBB are divided into non-preemptible areas and Preemptible areas K _α , K _β . Figure 2 shows the resource division situation within a slot in the time-frequency domain.

In a feasible implementation manner, three different UEs are considered in the downlink resource scheduling model, one UE carries the eMBB service, one UE carries the low priority TSN service, and one UE carries the high priority TSN service. Three slices are deployed, one slice is used to carry eMBB services, and the other two are used to carry high priority TSN services and low priority TSN services respectively.

TSN services adopt Non-slot-based scheduling, which uses mini-slot technology for time domain resource allocation. One mini-slot contains two OFDM symbols, and eMBB uses slot-based scheduling. Both eMBB and TSN services use a subcarrier spacing of 60kHz, so one RB of the eMBB or TSN service occupies a bandwidth of 720kHz (12 subcarriers form one RB). One slot contains 14 OFDM symbols, and the slot length is 0.25ms. When the total bandwidth is 50MHz, a total of 65 RBs are available for scheduling under the condition of 60kHz subcarrier spacing. According to the previous plan, TSN services adopt Non-slot-based scheduling. The RBs in the frequency domain are not divided into slots as the smallest unit. The RBs in a slot need to be further divided because a mini-slot contains two OFDM symbols, and one slot contains 14 OFDM symbols, so one slot can be divided into 7 mini-slots, and mini-slot is the smallest unit of TSN service resource scheduling. Although the eMBB scheduling unit is slot, because It will involve the preemption of eMBB services by TSN services, so the resources of the eMBB part will also be further divided. One of the RBs is divided into a mini-slot using represents, where t represents which mini-slot within a slot is occupied, and f represents which RB in the frequency domain is occupied (counted from bottom to top). For example, the 20th RB in the second mini-slot can be expressed as/> In this way, the occupancy of all RBs in a slot in the time-frequency domain can be clearly characterized.

Since all TSN and eMBB services share the 50MHz frequency band, if all RBs are allocated to eMBB, and then TSN services will rely on preempting eMBB service resources to use this part of the frequency band resources, it will cause a certain rate loss of eMBB services and excessive preemption. Resources may even be damaged, lost, and unrecoverable due to data seizing eMBB services. In response to the above problems, the present invention divides the entire frequency band into different areas: reserved resource area K _γres , non-preemptible area K _β and preemptible area K _α . The reserved resource area is exclusive to TSN services and is only used to transmit TSN services. The non-preemptible area is exclusive to eMBB services and cannot be preempted by TSN services to ensure the basic rate of eMBB services. The preemptible area is used by both eMBB and TSN services, and the order is priority for eMBB services. If all the reserved resources are used and TSN services arrive, the TSN service can preempt eMBB services in the preemptible area. Resources. The three parts of resources respectively account for α, β and γ _res of the total bandwidth in the frequency domain. At the beginning of each TTI, they will dynamically change according to the subsequent business requirements. The calculation formula of the three parameters is as follows: formula (1) -(3)：

When calculating the eMBB rate, it is assumed that in the 10:0 configuration (10D, 0S, 0U), using 256QAM modulation, and receiving with 2T4R terminals and removing the control plane overhead (80%), the theoretical peak value of each eMBB service K _m The transmission rates are as follows:

v＝100×40×Num1×12×14×8×4×0.8≈1.72×10 ⁷ ×Num1(M)

Among them, Num1 is the average number of RBs used by the eMBB service in this slot.

Since TSN services are generally bursty and require few resources (10-50Byte) each time, they can basically be processed within one slot. Therefore, there is no need to calculate the transmission rate for TSN services. You only need to care about whether TSN has The data can be transmitted within the specified delay t _delay .

In the present invention, high priority TSN service data packets can rely more on the resource preemption mechanism during downlink transmission, sacrificing the performance of the preempted eMBB users, but low priority TSN services avoid resource preemption as much as possible, and instead use Reserved resources to transmit data.

Theoretically, OFDM symbols on each downlink RB can carry 12*8=96 bits, where 12 is the number of subcarriers on each RB, and 8 is the number of bits that a waveform can carry after 256QAM modulation. Since each mini There are two symbols on the -slot, so one RB on each mini-slot can carry C=192bit=24Byte. Provide convenience for the quantitative allocation of subsequent business.

Based on the above model, the time-frequency resource scheduling problem in the present invention is as follows:

If a user wants to request resources, he first measures the downlink channel CQI (Channel Quality Indicator) through the terminal, and then reports his own CSI (CQI/RI/PMI), SR, HRAQ response, etc. through PUCCH. The 5G gNB determines the data block size based on the received parameters, and then selects an appropriate coding and modulation method. In the present invention, based on the previous assumptions, 256QAM coding is used by default. The data size that needs to be transmitted by this service is M (Byte), if C is the number of bytes that one RB can carry in one mini-slot. The required number of RBs N can be calculated by dividing M by C and rounding up, as shown in the following formula (4): N = [M/C]

When the scheduling mechanism proposed by the present invention performs resource allocation, the values of parameters α, β and γ _res are determined for each time interval, that is, each slot. Considering that high priority TSN services are highly bursty, they mainly rely on seizing eMBB resources to carry services, while low priority TSN is periodic and mainly uses reserved resources, that is, the resources of the γ _res part. The value of γ _res should be determined by It is determined by the number of low priority TSNs in a slot and the size of the packet. The overhead or loss caused by scheduling TSN services comes from two sources:

If all γ _res resources are used, if the resource demand of the TSN service is not enough to occupy all mini-slots in the slot, there will be unoccupied mini-slots, which will lead to a loss of γ _res resource utilization.

If all eMBB resources are relied on for preemption, assuming there is non-ideal recovery in preempting eMBB resources, there will be a non-zero rate loss. In order to overcome the puncture problem caused by resource preemption, robust modulation and coding schemes and retransmission technologies need to be used, both of which will lead to a reduction in the eMBB user data transmission rate or the addition of additional control overhead.

In a feasible implementation, considering the above problems, reserved resources can be reasonably used only when low priority TSN services are distributed as evenly as possible within a period of time. Therefore, in order to ensure that TSN services use reserved resources rationally and reduce resource preemption occurs, thereby minimizing the rate loss of eMBB users. The present invention designs a uniform algorithm. The uniform algorithm designed by the present invention is used to evenly distribute low priority TSN services on the mini-slot of a time slot. The algorithm includes:

Enter the low priority TSN service distribution within each mini-slot in a slot from the scheduler;

Arrange the low priority TSN services on this mini-slot from large to small according to their resource requirements to form a sequence;

Take the current maximum value from the arranged sequence and arrange it in the mini-slot with the least scheduled resources;

Store the status of all arranged mini-slots in after-Array;

Output the distribution of low priority TSN services in each mini-slot in the next slot after uniform algorithm arrangement, and output the uniform algorithm arrangement and distribution result of low priority TSN services in each mini-slot in the slot.

In a feasible implementation manner, through the above algorithm, low priority TSN services are relatively evenly distributed within a time slot. After uniformly distributing low priority TSN services, the value of can be determined accordingly. Generally speaking, the rate loss caused by preemption is less than the rate loss caused by reserved resource vacancies, so it can be done by mini-slot in a slot. The minimum resource requirements are determined. Figure 3a and Figure 3b show the renderings of the low priority TSN service uniform distribution algorithm.

In a feasible implementation, after the high priority TSN service request arrives, the demand is met by preempting the preemptible resources allocated to the eMBB service. The low priority TSN service preferentially uses the reserved resources. When the reserved resources are insufficient, the eMBB service is preempted. of preemptible resources;

The UE measures the user-level pilot CSI-RS SINR and reports the UE's CSI (CQI/RI/PMI), SR, HRAQ response, etc. to the gNB through the PUCCH;

When the scheduler schedules users and allocates resources to users, it combines the channel quality information and obtains the data size to be transmitted according to the parameters of the channel quality information and converts it into the required number of RBs; the channel quality information includes: CQI, RI, PMI, etc.; CQI, RI, PMI are all estimated by the UE based on the instantaneous downlink channel quality.

In a feasible implementation manner, after the value of γ _res is determined, the reserved resource area is also determined. If there are reserved resources that cannot meet the needs of low priority TSN services, some low priority TSN services will occupy part of the resources K _β that can be preempted. Therefore, if eMBB is allowed to be preempted, part of the resources originally belonging to the eMBB service will be allocated to the preemptible resources. Required TSN service. At this point, the scheduling of low priority TSN services is completed.

S102: Determine the service request type of the service request based on the service request information data; perform resource allocation based on the judged service request type.

In a feasible implementation, the service request is judged by the scheduler in each mini-slot based on the service request information data;

If it is determined to be a high priority TSN service, the eMBB service resources that support preemption in the K _β part of the mini-slot will be immediately prioritized;

If it is determined to be a low priority TSN service, it is judged whether there are enough reserved resources in the mini-slot. If the reserved resources are sufficient, it is directly allocated to the low priority TSN service. Otherwise, the K _β part of the mini-slot is occupied. Supports preempted eMBB business resources;

If it is determined to be an eMBB service, resources are allocated for the eMBB service in the next time slot.

In a feasible implementation, since it is stipulated that TSN services adopt Non-slot-based scheduling, that is, mini-slot technology is used for time domain resource allocation. One mini-slot contains two OFDM symbols, and eMBB uses slot-based Scheduling. The eMBB service needs to request resources from gNB in the previous time slot T1 and allocate resources in the next slot. Low priority TSN services and high priority TSN services request resources in the next time slot T2.

The UE measures the user-level pilot CSI-RS SINR and reports its own CSICQI/RI/PMI, SR, HRAQ response, etc. to the gNB through the PUCCH. The scheduler will consider channel quality information, including CQI, RI, PMI, etc., when scheduling users and allocating resources to users. CQI, RI, and PMI are all estimated by the UE based on the instantaneous downlink channel quality. Obtain the data size to be transmitted based on the above parameters and convert it into the required number of RBs.

In each mini-slot, the scheduler determines the incoming service and first determines whether it is a highpriority TSN service. If so, it immediately takes priority in occupying the K_β part of the eMBB service resources in the mini-slot that supports preemption. If it is not a high priority TSN service, determine whether it is a low priority TSN service. If so, determine whether there are enough reserved resources in the mini-slot. If the reserved resources are sufficient, allocate them directly to the low priority TSN service. Otherwise, the K_β portion of the eMBB service resources in the mini-slot that supports preemption will be occupied. Finally, it is judged whether it is an eMBB service, and if so, resources are allocated to it in the next time slot. At this point, the resource allocation for each business is completed. After the low priority TSN service arrives, the reserved resources will be used first. If the reserved resources are insufficient, eMBB resources will be preempted. It also allows the use of a uniform algorithm to evenly distribute low priority TSN services, which can reduce resource preemption and ensure the smooth transmission of eMBB services.

S103: Decentralize the allocated resources to complete downlink wireless resource scheduling for 5G-TSN integrated deployment scenarios.

In a feasible implementation, the base station sends scheduling information DCI (downlink scheduling control indication) through the PDCCH channel;

The terminal obtains the PDSCH and PUSCH resources allocated by itself during this scheduling period through the PDCCH channel, and completes the downlink wireless resource scheduling for the 5G-TSN integrated deployment scenario.

In the embodiment of the present invention, a downlink wireless resource scheduling method oriented to 5G-TSN (Time-Sensitive Networking, time-sensitive network) integrated deployment scenario is proposed. In 5G NR downlink wireless resource scheduling, delay-sensitive services, namely TSN services, are Prioritize and use different scheduling methods based on resource preemption and resource reservation technologies to meet the differentiated delay requirements of different types of TSN services, while ensuring that eMBB users will not be affected by resource preemption.

Embodiments of the present invention provide a downlink wireless resource scheduling device for 5G-TSN integrated deployment scenarios. Figure 4 is a structural block diagram of a downlink wireless resource scheduling device for 5G-TSN integrated deployment scenarios. The device 300 includes:

The resource pre-allocation module 310 is used to pre-allocate scheduling resources by designing a uniform algorithm; upload business requests to received business requests and obtain business request information data;

The resource scheduling module 320 is configured to determine the service request type of the service request based on the service request information data; and perform resource allocation based on the determined service request type;

The resource delivery module 330 is used to delegate the allocated resources to complete downlink wireless resource scheduling for 5G-TSN integrated deployment scenarios.

Optionally, the resource pre-allocation module 310 is further configured to perform information prediction based on pre-stored information through the scheduler when the scheduler located at the gNB performs data transmission in each slot; the information prediction includes : Estimate the number and size of periodic TSN services on each mini-slot in the next slot; the slot is the standard scheduling unit of the 5G network;

Perform uniform algorithm calculations on periodic TSN services to determine the minimum resource demand on the mini-slot; determine the γ _res value based on the minimum resource demand, and divide the reserved resources K _γres based on this;

After receiving the eMBB service request, it immediately allocates resources to eMBB in the next slot. After gNB receives the eMBB service request, it immediately allocates resources to eMBB in the next slot. According to the characteristics of the eMBB service, the resources allocated to eMBB are divided into non-preemptible areas K _α and the preemptible area K _β .

Optionally, the resource pre-allocation module 310 is further configured to input the low priority TSN service distribution within each mini-slot in a slot from the scheduler;

Arrange the low priority TSN services on the mini-slot from large to small according to their resource requirements to form a sequence;

Take the current maximum value from the arranged sequence and arrange it in the mini-slot with the least scheduled resources;

Store the status of all arranged mini-slots in after-Array;

Output the distribution of low priority TSN services in each mini-slot in the next slot after being arranged by a uniform algorithm.

Optionally, the resource pre-allocation module 310 further meets the demand by preempting the preemptible resources allocated to the eMBB service after the high priority TSN service request arrives. The low priority TSN service uses the reserved resources first. When the reserved resources are insufficient, Seize the preemptible resources of eMBB business;

The UE measures the user-level pilot CSI-RS SINR and reports the UE's CSI, SR, HRAQ response, etc. to the gNB through the PUCCH;

When the scheduler schedules users and allocates resources to users, it combines the channel quality information and obtains the data size to be transmitted according to the parameters of the channel quality information and converts it into the required number of RBs; the channel quality information includes: CQI, RI, PMI, the above three are channel quality information based on the UE's instantaneous downlink channel quality estimation.

Optionally, the resource scheduling module 320 is further configured to judge the service request through the scheduler in each mini-slot according to the service request information data;

If it is determined to be a high priority TSN service, the eMBB service resources that support preemption in the K _β part of the mini-slot will be immediately prioritized;

If it is determined to be a low priority TSN service, it is judged whether there are enough reserved resources in the mini-slot. If the reserved resources are sufficient, it is directly allocated to the low priority TSN service. Otherwise, the K _β part of the mini-slot is occupied. Supports preempted eMBB business resources;

If it is determined to be an eMBB service, resources are allocated for the eMBB service in the next time slot.

Optionally, after the low priority TSN service arrives, the reserved resources will be used first. If the reserved resources are insufficient, eMBB resources will be preempted.

Optionally, the resource delivery module 330 is further used by the base station to deliver scheduling information through the PDCCH channel, where the scheduling information is the downlink scheduling control indication DCI;

The terminal obtains the PDSCH and PUSCH resources allocated by itself during this scheduling period through the PDCCH channel, and completes the downlink wireless resource scheduling for the 5G-TSN integrated deployment scenario.

In the embodiment of the present invention, a downlink wireless resource scheduling method oriented to 5G-TSN (Time-Sensitive Networking, time-sensitive network) integrated deployment scenario is proposed. In 5G NR downlink wireless resource scheduling, delay-sensitive services, namely TSN services, are Prioritize and use different scheduling methods based on resource preemption and resource reservation technologies to meet the differentiated delay requirements of different types of TSN services, while ensuring that eMBB users will not be affected by resource preemption.

FIG. 5 is a schematic structural diagram of an electronic device 400 provided by an embodiment of the present invention. The electronic device 400 may vary greatly due to different configurations or performance, and may include one or more processors (central processing units, CPUs) 401 and one or more memories 402, wherein at least one instruction is stored in the memory 402, and the at least one instruction is loaded and executed by the processor 401 to implement the following downlink wireless operation for the 5G-TSN converged deployment scenario. Steps of resource scheduling method:

S1: Pre-allocate scheduling resources by designing a uniform algorithm; upload the received business requests to obtain business request information data;

S2: Determine the service request type of the service request based on the service request information data; perform resource allocation based on the judged service request type;

S3: Decentralize the allocated resources to complete downlink wireless resource scheduling for 5G-TSN integrated deployment scenarios.

In an exemplary embodiment, a computer-readable storage medium, such as a memory including instructions, is also provided. The instructions can be executed by a processor in a terminal to complete the above downlink radio resource scheduling method for 5G-TSN converged deployment scenarios. For example, the computer-readable storage medium may be ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, etc.

Those of ordinary skill in the art can understand that all or part of the steps to implement the above embodiments can be completed by hardware, or can be completed by instructing relevant hardware through a program. The program can be stored in a computer-readable storage medium. The above-mentioned The storage media mentioned can be read-only memory, magnetic disks or optical disks, etc.

The above are only preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention shall be included in the protection of the present invention. within the range.

Claims (4)

1. A downlink wireless resource scheduling method for a 5G-TSN fusion deployment scene is characterized by comprising the following steps:

s1: pre-distributing the scheduling resources by designing a uniform algorithm; uploading a received service request to obtain service request information data;

in the step S1, the scheduling resource is pre-allocated by designing a uniform algorithm, which comprises the following steps:

when a scheduler located in the gNB performs data transmission in each slot time slot, performing information prediction according to pre-stored information through the scheduler; the information prediction comprises the following steps: estimating the number and the size of periodic TSN services on each mini-slot in the next slot time slot; the slot is a scheduling unit of a 5G network standard;

carrying out uniform algorithm calculation on the periodic TSN service, and determining the minimum value of the resource requirement on the mini-slot; determining gamma from the minimum value of the resource requirement _res Value and divide the reserved resource K _γres ；

When receiving an eMBB service request, immediately allocating resources for the eMBB at the next slot, after receiving the eMBB service request, immediately allocating resources for the eMBB at the next slot, and dividing the resources allocated to the eMBB into a non-preemptive area and a preemptive area K according to the characteristics of the eMBB service _α ，K _β；

The uniform algorithm is used for uniformly distributing low priority TSN service on mini-slot of a time slot, and comprises the following steps:

inputting low priority TSN service distribution in each mini-slot in a slot from a scheduler;

the low priority TSN business on the mini-slot is orderly arranged from big to small according to the resource demand, and then a sequence is formed;

sequentially taking out the current maximum value from the arranged sequence, and arranging the current maximum value on the mini-slot with the least current arranged resource;

storing all the mini-slot states after arrangement into an after-Array;

outputting the distribution of low priority TSN business in each mini-slot in the next slot after being arranged by a uniform algorithm;

in the step S1, the step of uploading the service request to the received service request to obtain service request information data includes:

when high priority TSN service request arrives, preempting preemptive resource allocated to eMBB service to meet demand, and low priority TSN service uses reserved resource preferentially, preempting preemptive resource of eMBB service when reserved resource is insufficient;

UE measures the SINR of the user-level pilot CSI-RS, and the CSI, SR, HRAQ response of the UE is reported to gNB through PUCCH;

when a scheduler schedules a user and allocates resources to the user, acquiring the size of data to be transmitted according to parameters of channel quality information by combining the channel quality information and converting the size of the data to be transmitted into the number of required RBs; the channel quality information includes: CQI, RI, PMI, the above three are all channel quality information estimated by the UE based on instantaneous downlink channel quality;

s2: judging the service request type of the service request according to the service request information data; according to the judged service request type, carrying out resource allocation;

in the step S2, judging the service request type of the service request according to the service request information data; according to the judged service request type, carrying out resource allocation, including:

judging a service request through a scheduler in each mini-slot according to the service request information data;

if the service is determined to be high priority TSN, immediately and preferentially occupying K in the mini-slot _β Part of the eMBB service resources supporting preemption;

if the low priority TSN service is judged, judging whether enough reserved resources exist in the mini-slot, if so, directly distributing the reserved resources to the low priority TSN service, otherwise, judging whether the reserved resources are enoughOccupy K in the mini-slot _β Part of the eMBB service resources supporting preemption;

if the eMBB service is judged, allocating resources for the eMBB service in the next time slot;

s3: and (3) carrying out resource downloading on the allocated resources to finish downlink wireless resource scheduling facing the 5G-TSN fusion deployment scene.

2. The method of claim 1 wherein the low priority TSN traffic is followed by priority use of reserved resources and preempting eMBB resources if reserved resources are insufficient.

3. The method of claim 2, wherein in S3, the allocating the allocated resources to perform resource down, and completing the downlink radio resource scheduling for the 5G-TSN converged deployment scenario includes:

the base station transmits scheduling information through a PDCCH (physical downlink control channel), wherein the scheduling information is downlink scheduling control indication DCI;

and the terminal acquires the PDSCH and PUSCH resources allocated by the terminal in the scheduling period through the PDCCH channel, and completes the downlink wireless resource scheduling facing the 5G-TSN fusion deployment scene.

4. A downlink radio resource scheduling device for a 5G-TSN fusion deployment scenario, wherein the device is adapted to the method of any one of the preceding claims 1-3, and the device comprises:

the resource pre-allocation module is used for pre-allocating the scheduling resources by designing a uniform algorithm; uploading a received service request to obtain service request information data;

the resource pre-allocation module is used for carrying out information pre-estimation according to pre-stored information through a scheduler when the scheduler located in the gNB carries out data transmission in each slot time slot; the information prediction comprises the following steps: estimating the number and the size of periodic TSN services on each mini-slot in the next slot time slot; the slot is a scheduling unit of a 5G network standard;

carrying out uniform algorithm calculation on the periodic TSN service, and determining the minimum value of the resource requirement on the mini-slot; determining gamma from the minimum value of the resource requirement _res Value and divide the reserved resource K _γres ；

When receiving an eMBB service request, immediately allocating resources for the eMBB at the next slot, after receiving the eMBB service request, immediately allocating resources for the eMBB at the next slot, and dividing the resources allocated to the eMBB into non-preemptive areas K according to the characteristics of the eMBB service _α And preemptible area K _β ；

The resource pre-allocation module is used for inputting low priority TSN service distribution in each mini-slot in a slot from a scheduler;

the low priority TSN business on the mini-slot is orderly arranged from big to small according to the resource demand, and then a sequence is formed;

sequentially taking out the current maximum value from the arranged sequence, and arranging the current maximum value on the mini-slot with the least current arranged resource;

storing all the mini-slot states after arrangement into an after-Array;

outputting the distribution of low priority TSN business in each mini-slot in the next slot after being arranged by a uniform algorithm;

the resource pre-allocation module is used for meeting the demand by preempting preemptive resources allocated to eMBB service after high priority TSN service request arrives, and the low priority TSN service uses reserved resources preferentially, and preemptive resources of the eMBB service are preempted when the reserved resources are insufficient;

UE measures the SINR of the user-level pilot CSI-RS, and reports CSI, SR, HRAQ response of the UE to gNB through PUCCH;

when a scheduler schedules a user and allocates resources to the user, acquiring the size of data to be transmitted according to parameters of channel quality information by combining the channel quality information and converting the size of the data to be transmitted into the number of required RBs; the channel quality information includes: CQI, RI, PMI, the above three are all channel quality information estimated by the UE based on instantaneous downlink channel quality; the resource scheduling module is used for judging the service request type of the service request according to the service request information data; according to the judged service request type, carrying out resource allocation;

the resource scheduling module is used for judging the service request through a scheduler in each mini-slot according to the service request information data;

if the service is determined to be high priority TSN, immediately and preferentially occupying K in the mini-slot _β Part of the eMBB service resources supporting preemption;

if the low priority TSN service is judged, judging whether enough reserved resources exist in the mini-slot, if so, directly distributing the reserved resources to the low priority TSN service, otherwise, occupying K in the mini-slot _β Part of the eMBB service resources supporting preemption;

if the eMBB service is judged, allocating resources for the eMBB service in the next time slot;

and the resource issuing module is used for issuing the allocated resources to complete the downlink wireless resource scheduling facing the 5G-TSN fusion deployment scene.