CN108235355B - A kind of environment simulation method and device - Google Patents
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Abstract
The invention discloses an environment simulation method and device, wherein the method comprises the following steps: acquiring a statistical parameter corresponding to each region in all regions of a target wireless environment; wherein all regions of the target wireless environment include at least two regions; the statistical parameters at least comprise the difference of the signal intensity of each region; generating a test environment corresponding to the target wireless environment based on the statistical parameters corresponding to each region of the target wireless environment, and detecting to obtain test parameters in the test environment; wherein, the test parameters at least comprise the difference component of the test signal intensity; and performing fitting analysis based on the difference component of the test signal intensity and the difference component of the signal intensity, and determining an adjustment mode of the test environment based on the result of the fitting analysis to obtain an adjusted test environment.
Description
Technical Field
The present invention relates to information management technologies in the field of communications, and in particular, to an environment simulation method and apparatus.
Background
In order to know and verify the performance and performance of the target device in the wireless environment of a specific tunnel, the method can be implemented through field measurement and computer simulation, and in addition, a scheme of implementing simulation through a special wireless test field is available. For example, by field measurement, the signal propagation characteristics of the main wireless transmission frequency bands of 2.4GHz and 5GHz in the subway tunnel are investigated, including channel fading, root mean square expansion, channel stability, doppler expansion and channel capacity; or respectively acquiring the environmental parameters of a first external field and a second external field, wherein the second external field is the external field obtained by scaling down the first external field in equal proportion, so that the simulation of the first external field by the second external field is realized.
However, the conventional peer-to-peer simulation scheme only considers the reduction of the scene size, but the problem of the special scene of the tunnel related to the present invention does not only include the problem of size reduction, and the original scheme does not provide the key physical characteristic of how to peer-to-peer simulate the moving speeds of different user terminals in a miniature scene. And the peer-to-peer simulation formula of the original scheme has the defect that the fitting degree of the target parameters and the simulation parameters is not reciprocal, thereby bringing ambiguity for peer-to-peer evaluation.
Disclosure of Invention
The present invention is directed to an environment simulation method and apparatus, which are used to solve the above problems in the prior art.
In order to achieve the above object, the present invention provides an environment simulation method, including:
acquiring a statistical parameter corresponding to each region in all regions of a target wireless environment; wherein all regions of the target wireless environment include at least two regions; the statistical parameters at least comprise the difference of the signal intensity of each region;
generating a test environment corresponding to the target wireless environment based on the statistical parameters corresponding to each region of the target wireless environment, and detecting to obtain test parameters in the test environment; wherein, the test parameters at least comprise the difference component of the test signal intensity;
and performing fitting analysis based on the difference component of the test signal intensity and the difference component of the signal intensity, and determining an adjustment mode of the test environment based on the result of the fitting analysis to obtain an adjusted test environment.
The present invention provides an environment simulation apparatus, the apparatus comprising:
the test data statistical analysis module is used for acquiring statistical parameters corresponding to each region in all regions of the target wireless environment; wherein all regions of the target wireless environment include at least two regions; the statistical parameters at least comprise the difference of the signal intensity of each region;
a wireless environment peer-to-peer feedback module, configured to generate a test environment corresponding to the target wireless environment based on the statistical parameter corresponding to each region of the target wireless environment, and detect to obtain a test parameter in the test environment; wherein, the test parameters at least comprise the difference component of the test signal intensity;
and the parameter regulating and controlling module is used for performing fitting analysis based on the difference component of the test signal intensity and the difference component of the signal intensity, and determining an adjusting mode of the test environment based on the result of the fitting analysis so as to obtain the adjusted test environment.
The environment simulation method and the environment simulation device can utilize the actual target wireless environment to carry out statistics on the difference quantity of the signal quality, obtain the test environment based on the difference quantity of the signal quality obtained by statistics, and then carry out fitting based on the test quality difference quantity in the test environment and the difference quantity of the signal quality to adjust and obtain the final test environment. Therefore, the signal change conditions of different areas in the target wireless environment can be embodied, and the test environment is more fit with the target wireless environment.
Drawings
FIG. 1 is a first flowchart illustrating an environment simulation method according to an embodiment of the present invention;
FIG. 2 is a flowchart of an environment mode method according to an embodiment of the present invention;
FIG. 3 is a first schematic diagram illustrating an environmental mode apparatus according to an embodiment of the present invention;
FIG. 4 is a second schematic diagram of an environmental mode apparatus according to an embodiment of the present invention;
fig. 5 is a third schematic view of an environment mode apparatus according to an embodiment of the present invention.
Detailed Description
The invention is described in further detail below with reference to the figures and specific examples.
The first embodiment,
An embodiment of the present invention provides an environment simulation method, as shown in fig. 1, including:
step 101: acquiring a statistical parameter corresponding to each region in all regions of a target wireless environment; wherein all regions of the target wireless environment include at least two regions; the statistical parameters at least comprise the difference of the signal intensity of each region;
step 102: generating a test environment corresponding to the target wireless environment based on the statistical parameters corresponding to each region of the target wireless environment, and detecting to obtain test parameters in the test environment; wherein, the test parameters at least comprise the difference component of the test signal intensity;
step 103: and performing fitting analysis based on the difference component of the test signal intensity and the difference component of the signal intensity, and determining an adjustment mode of the test environment based on the result of the fitting analysis to obtain an adjusted test environment.
The technical problem mainly solved by this embodiment is that, in the proposed simulation test device, based on the actual measurement of a specific tunnel scene, the parameters of the real tunnel environment of the device are simulated in the device, and the final signal transmitting device or other devices to be tested are further controlled. Therefore, various troubles that the test is easy to be interfered and the test scale is not easy to be increased when the test is carried out on site can be avoided.
The differential component of the signal strength proposed in the embodiment is used for specifically describing the signal quality change experienced by the user in the process of entering the tunnel, traversing the tunnel and exiting the tunnel under the limited test scene size and the test user moving speed, so that the scene specificity can be better embodied than the existing similar scheme.
The target wireless environment is a wireless environment of a target tunnel.
The manner of obtaining the statistical parameter corresponding to each of all the regions of the target wireless environment may be to perform field measurement in a specific target tunnel environment. The purpose of the test is to obtain the spatial distribution of channel fading and the statistical distribution of the signal-to-interference-and-noise ratio in the actual environment of the target tunnel, so that the test has more actual environmental parameters than the prediction of pure computer simulation. The component integrates a velocity sensor for determining position. The recorded information includes signal strength, signal to interference ratio, multipath information and geographical location and time.
The method further comprises the following steps: acquiring signal intensity and sampling time corresponding to at least one sampling point in each area; and calculating the difference of the signal intensity between two adjacent sampling points in the physical position in the at least one sampling point one by one, and taking the obtained result as the difference of the signal intensity of the area where the sampling point is located.
Correspondingly, the method further comprises the following steps: dividing the target tunnel into three regions; wherein the three regions are respectively: the distance between the target tunnel and the base station is smaller than a first distance value, the distance between the target tunnel and the base station is larger than the first distance value and smaller than a second distance value, and the distance between the target tunnel and the exit of the target tunnel is smaller than a third distance value. The first distance value, the second distance value and the third distance value are set according to actual conditions, and all the three finally divided areas can form all the areas of the target tunnel.
Due to different distances from the base station position in the tunnel, different channel fading and channel fading variation values and different signal to interference and noise ratio distribution variations exist, the tunnel is divided into three areas, namely a near base station, a far base station and a tunnel exit (entrance) according to the geographical position from the base station layout position, so that the measurement data of a specific area can be deeply grasped, and the characteristic analysis and extraction of the channel fading and the signal to interference and noise ratio are carried out on each area.
Since different channel fading and channel fading variation values are generated due to different relative positions of the test point and the base station in the tunnel environment, the actual tunnel environment needs to be divided into regions according to the distance so as to more accurately realize the peer-to-peer of the wireless environment. The test data of the target tunnel can be sent to a test control center, and the test control module can controllably divide the test data. For example, the base station to the tunnel exit may be divided into three parts from near to far, which respectively represent a near base station region, a far base station region and a tunnel exit region, and the positions of the three divided regions are respectively labeled as:
near base station area: [ d0,αL]
Remote base station area: [ alpha L, L-d1]
A tunnel exit area: [ L-d1,L]
Wherein d is0For a base station surrounding guard distance, d1The length of tunnel exit region is 0 < alpha < 1-d1L, and d1The maximum distance affected by the out-of-tunnel base station can be determined from the out-of-tunnel base station test results near the tunnel entrance, or can be artificially set to a fixed value (e.g., 50m) for longer tunnels.
Since the particular tunnel under consideration is a straight tunnel, the ratio of the test data for the three-segment region can be approximated as a one-dimensional distance ratio, i.e., (α L-d)0):(L-αL-d1):d1The division of the three regions is determined by the test control center.
Acquiring target tunnel physical parameters, sectional test data and external base station information through field test of a target tunnel; dividing a near base station region, a far base station region and a tunnel exit region according to test data, and then carrying out statistics on the test data in a segmented manner to obtain statistical parameters; wherein, the statistical parameters at least comprise parameters of channel fading, signal-to-interference-and-noise ratio, difference component of signal intensity and the like in each region;
it should be noted that the following formula can be adopted for calculating the difference component of the signal quality:
Δx(i,j)＝x(ai,ti)-x(aj,tj) (ii) a Where a represents a location where the ue is located, for example, location information of a certain sampling point, t represents time information of obtaining signal strength, and x () represents signal strength. i. j respectively denote adjacent two sample points.
The time interval of the difference can be adjusted according to the test requirement, and the statistical analysis module processes the data and calculates the probability distribution of the basic difference component.
Generating a test environment corresponding to the target wireless environment based on the statistical parameters corresponding to each region of the target wireless environment, including:
and determining the transmission power of the main base station in the test environment based on the statistical parameters corresponding to each region of the target wireless environment, the physical parameters of the target wireless environment and the physical parameters of the test environment.
The statistical parameters also comprise a noise value and a frequency deviation value of each sampling point in at least one sampling point of each area;
accordingly, the transmit power of the master base station in the test environment is determined, the method further comprising:
and adding a noise value and a frequency offset value aiming at each test area in the test environment based on the statistical parameters corresponding to the target wireless environment.
The detecting to obtain the test parameters in the test environment comprises:
acquiring position information and moving speed of a test terminal in the test environment; obtaining a signal test result reported by the test terminal;
and determining the corresponding test parameters of the test environment in at least one test area based on the signal test result of the test terminal, the position information and the moving speed of the test terminal.
The specific implementation block diagram is shown in fig. 2:
the main base station in the test environment carries out primary wireless environment coverage on the test field on the basis of specific statistical parameters;
under the coverage generated by a main base station in a test environment, the preliminary generation of the whole wireless environment is realized by depending on test statistical parameters, adding noise, interference, specific position frequency offset and the like;
inputting the generated preliminary environment information into a wireless environment peer-to-peer output module, and performing fitting inspection by the peer-to-peer output module; specifically, the fitting test may include: and (3) carrying out fitting degree analysis on the statistical and analysis results of parameters such as channel fading, signal-to-interference-and-noise ratio, signal intensity difference and the like in the test field and the statistical value of the real test result, and inputting the fitting test result into the wireless environment peer-to-peer feedback module.
The module performs equivalent parameter mapping according to the test scene data and the analysis and processing result of the test data. According to the length of the simulated test field (far smaller than the target tunnel), the equivalent test environment of the real scene wireless environment of the target tunnel is realized by comparing the length of the simulated test field with the distance from the base station of the target tunnel to the test point, the moving speed of the test device and the like in proportion and dynamically adjusting the transmitting power of the base station in the test field, so that the same environment of a specific tunnel can be simulated and used for testing by putting target equipment or a target scene into the test field.
The basic parameters of the wireless environment of the tunnel are obtained through characteristic analysis and extraction of the measured value of the target tunnel, and are used as the input of the device, and the channel fading, the signal-to-interference-and-noise ratio and the like at a specific distance are simulated and generated by combining the known physical parameters of the tunnel (such as the position of a base station, the distance from the base station to the exit (entrance) of the tunnel and the like which do not need to be measured on the spot).
The fitting analysis based on the difference component of the test signal intensity and the difference component of the signal intensity comprises:
determining at least one sampling point matched in the test environment and the target wireless environment;
respectively acquiring a test parameter and a statistical parameter corresponding to each sampling point matched in the test environment and the target wireless environment;
acquiring a difference component of the matched test signal strength and a difference component of the matched signal strength according to the matched test parameters and the statistical parameters in the test environment and the target wireless environment respectively;
and calculating to obtain a fitting value based on the difference component of the test signal intensity and the difference component of the signal intensity.
Determining an adjustment mode for the test environment based on the result of the fitting analysis to obtain an adjusted test environment, including:
judging whether the fitting value corresponding to each testing area in the testing environment meets a preset fitting threshold value or not;
if so, determining not to adjust the test area; if not, adjusting the transmitting power of the main base station of the test area to obtain the adjusted test environment.
When the dynamic power control is carried out, the main point is to proportionally adjust the environment of the test field to be equivalent to the large-scale fading in a real scene, and simultaneously, the wireless environment of the whole target tunnel is simulated in a short distance of the test field according to the relationship among the signal intensity in the test data, the difference component of the signal intensity and the speed.
Simply assuming that the moving speed of the test point is uniform v during field test0The time interval recorded by the test equipment is t0Then every s0＝v0t0Obtaining a sampling point by the distance; assuming the length from the base station position in the tunnel to the tunnel exit is L0Then n is obtained in total during the whole test0＝L0/s0Sampling points; and distributing the sampling points in the three regions according to the proportion according to the division of the three regions in the previous subsection.
Meanwhile, assume that the total length of the test apparatus is L1Then every s in the test field can be set1＝L1/n0The distance corresponds to a true sampling point, i.e. for any c.s1(c≥1,c∈N*) The distances are all corresponding to the test values of the real scene; according to the sampling point of the real scene and the actual distance between the test main base station and the test point in the test field, the test transmitting device is dynamically adjusted or the transmitting power of the tested equipment is controlled, so that the signal intensity of the test point and the variation of the signal intensity before and after the test point correspond to the real value (or the receiving value after the large-scale decay through data analysis) of the sampling point of the real scene, and the moving speed of the target equipment in the test field can be correspondingly adjusted.
For the implementation of the fitting inspection part, it is necessary to calculate the fitting degree between the statistical values of channel fading, signal-to-interference-and-noise ratio, difference components of received signal strength, etc. of three regions in the test field and the statistical value of the field test of the target tunnel, and the formula is:
the physical meaning of the fitting degree formula is that the average curve of two curves to be fitted is used as the fitting reference, the fitting degree value range is [0,1], the more similar the two curves are, the higher the fitting degree is, and the fitting degree of the two completely identical curves is 1.
Example II,
An embodiment of the present invention provides an environment simulation apparatus, as shown in fig. 3, including:
the test data statistical analysis module 31 is configured to obtain a statistical parameter corresponding to each of all regions of the target wireless environment; wherein all regions of the target wireless environment include at least two regions; the statistical parameters at least comprise the difference of the signal intensity of each region;
a wireless environment peer-to-peer feedback module 32, configured to generate a test environment corresponding to the target wireless environment based on the statistical parameter corresponding to each region of the target wireless environment, and detect to obtain a test parameter in the test environment; wherein, the test parameters at least comprise the difference component of the test signal intensity;
and the parameter adjusting and controlling module 33 is configured to perform fitting analysis based on the difference component between the test signal strengths and the difference component between the signal strengths, and determine an adjusting manner for the test environment based on a result of the fitting analysis to obtain an adjusted test environment.
The device further comprises:
the data acquisition module 34 is configured to acquire signal strength and sampling time corresponding to at least one sampling point in each region;
correspondingly, the test data statistical analysis module is used for calculating the difference of the signal intensity between two adjacent sampling points in the physical position in the at least one sampling point one by one, and taking the obtained result as the difference component of the signal intensity of the area where the sampling point is located.
The device comprises a separable front-end data acquisition module, a test data statistical analysis module, a wireless environment peer-to-peer feedback module and a parameter regulation and control module. Each module needs to work according to a preset flow, as shown in fig. 4, including target scene data acquisition, automatic parameter extraction and analysis, and device parameter regulation and control, so as to finally realize the simulation of the tunnel scene. The specific process is as follows: firstly, selecting characteristic parameters and indexes which can reasonably describe the wireless channel environment of the tunnel, then carrying out measurement work on a target tunnel in a targeted manner, acquiring data of the real wireless channel environment of the target tunnel, extracting the characteristic parameters through data analysis and modeling, using the characteristic parameters as the input of a corresponding test data statistical analysis module, and then realizing the equivalent environment with the real wireless environment of a specific tunnel by using a test device.
It is understood that the above modules may be all disposed in one server; or the data acquisition module can be separated out independently and placed in the actual target environment for data monitoring and collection, and the remaining three modules are placed in the server. The specific implementation scenarios are not exhaustive here.
The data acquisition module is a separable component and can be used for carrying out field measurement under the environment of a specific target tunnel. The purpose of the test is to obtain the spatial distribution of channel fading and the statistical distribution of the signal-to-interference-and-noise ratio in the actual environment of the target tunnel, so that the test has more actual environmental parameters than the prediction of pure computer simulation. The component integrates a velocity sensor for determining position. The recorded information includes signal strength, signal to interference ratio, multipath information and geographical location and time.
And a test data analysis processing module. The module correspondingly classifies the collected and measured data: due to different distances from the base station position in the tunnel, different channel fading and channel fading variation values and different signal to interference and noise ratio distribution variations exist, the tunnel is divided into three areas, namely a near base station, a far base station and a tunnel exit (entrance) according to the geographical position from the base station layout position, so that the measurement data of a specific area can be deeply grasped, and the characteristic analysis and extraction of the channel fading and the signal to interference and noise ratio are carried out on each area.
A wireless environment peer-to-peer feedback module. The module performs equivalent parameter mapping according to the test scene data and the analysis and processing result of the test data. According to the length of the simulated test field (far smaller than the target tunnel), the equivalent test environment of the real scene wireless environment of the target tunnel is realized by comparing the length of the simulated test field with the distance from the base station of the target tunnel to the test point, the moving speed of the test device and the like in proportion and dynamically adjusting the transmitting power of the base station in the test field, so that the same environment of a specific tunnel can be simulated and used for testing by putting target equipment or a target scene into the test field.
Then the implementation of the tunnel-specific wireless environment simulation generation means. The basic parameters of the wireless environment of the tunnel are obtained through characteristic analysis and extraction of the measured value of the target tunnel, and are used as the input of the device, and the channel fading, the signal-to-interference-and-noise ratio and the like at a specific distance are simulated and generated by combining the known physical parameters of the tunnel (such as the position of a base station, the distance from the base station to the exit (entrance) of the tunnel and the like which do not need to be measured on the spot).
The block diagram of the whole device is shown in fig. 5, and the target wireless environment is the wireless environment of the target tunnel; correspondingly, the test data statistical analysis module is used for dividing the target tunnel into three areas; wherein the three regions are respectively: the distance between the target tunnel and the base station is smaller than a first distance value, the distance between the target tunnel and the base station is larger than the first distance value and smaller than a second distance value, and the distance between the target tunnel and the exit of the target tunnel is smaller than a third distance value. Since different channel fading and channel fading variation values are generated due to different relative positions of the test point and the base station in the tunnel environment, the actual tunnel environment needs to be divided into regions according to the distance so as to more accurately realize the peer-to-peer of the wireless environment. The test data of the target tunnel can be sent to a test control center, and the test control module can controllably divide the test data. For example, the base station to the tunnel exit may be divided into three parts from near to far, which respectively represent a near base station region, a far base station region and a tunnel exit region, and the positions of the three divided regions are respectively labeled as:
near base station area:[d0,αL]
remote base station area: [ alpha L, L-d1]
A tunnel exit area: [ L-d1,L]
Wherein d is0For a base station surrounding guard distance, d1The length of tunnel exit region is 0 < alpha < 1-d1L, and d1The maximum distance affected by the out-of-tunnel base station can be determined from the out-of-tunnel base station test results near the tunnel entrance, or can be artificially set to a fixed value (e.g., 50m) for longer tunnels.
Since the particular tunnel under consideration is a straight tunnel, the ratio of the test data for the three-segment region can be approximated as a one-dimensional distance ratio, i.e., (α L-d)0):(L-αL-d1):d1The division of the three regions is determined by the test control center.
The wireless environment peer-to-peer processing center is used for simulating and realizing a wireless environment equal to the real environment of a target tunnel in a test field generated by the test device by taking the field test of a specific tunnel as a reference, and realizing the test work of target equipment or a target scene in the equal environment.
The function of each module of the wireless environment peer-to-peer implementation device is explained as follows:
the test data statistical analysis module is used for obtaining the physical parameters, the sectional test data and the external base station information of the target tunnel through the field test of the target tunnel;
the test data statistical analysis module is used for dividing a near base station region, a far base station region and a tunnel exit region according to test data, and then carrying out statistics on the test data in a segmented manner to obtain statistical parameters; wherein, the statistical parameters at least comprise parameters of channel fading, signal-to-interference-and-noise ratio, difference component of signal intensity and the like in each region;
the main base station of the test device performs primary wireless environment coverage on a test field on the basis of specific statistical parameters;
the specific tunnel wireless environment generation module is used for realizing the primary generation of the whole wireless environment by depending on test statistical parameters, adding noise, interference, specific position frequency offset and the like under the coverage generated by the main base station of the test device;
after the generation module completes the generation of the preliminary environment, the generated preliminary environment information is input into a wireless environment peer-to-peer output module, and the peer-to-peer output module performs fitting inspection; specifically, the fitting test may include: and (3) carrying out fitting degree analysis on the statistical and analysis results of parameters such as channel fading, signal-to-interference-and-noise ratio, signal intensity difference and the like in the test field and the statistical value of the real test result, and inputting the fitting test result into the wireless environment peer-to-peer feedback module.
It should be noted that the following formula can be adopted for calculating the difference component of the signal quality:
Δx(i,j)＝x(ai,ti)-x(aj,tj)；
the difference time interval can be adjusted according to the test requirement, and the statistical analysis module processes the data and calculates the probability distribution of the basic difference component.
During the peer-to-peer simulation test, the mobile user reports the position information and the speed information of the mobile user in real time, and the wireless peer-to-peer feedback module performs peer-to-peer mapping according to the position and the instantaneous speed information of the mobile user in the test field. According to the physical parameters of the target tunnel and the physical parameters of the environment of the testing device, corresponding to different testing points, the transmitting power of a main base station of the testing device is proportionally adjusted, dynamic power control information is fed back to the main base station of the testing device, and when the fitting degree reaches a threshold Th, an output judgment is set to be 1; and after receiving the information with the output judgment of 1, the wireless environment peer-to-peer output module outputs the currently generated wireless environment as the peer-to-peer environment of the target tunnel.
Therefore, the simulation output of the wireless environment of the specific tunnel is realized, the test of the target equipment or the target scene can be carried out at the moment, and the test effect is equal to the field test in the real environment of the specific tunnel.
The dynamic power control and fitting test are schematically described below.
When the dynamic power control is carried out, the main point is to proportionally adjust the environment of the test field to be equivalent to the large-scale fading in a real scene, and simultaneously, the wireless environment of the whole target tunnel is simulated in a short distance of the test field according to the relationship among the signal intensity in the test data, the difference component of the signal intensity and the speed.
Simply assuming that the moving speed of the test point is uniform v during field test0The time interval recorded by the test equipment is t0Then every s0＝v0t0Obtaining a sampling point by the distance; assuming the length from the base station position in the tunnel to the tunnel exit is L0Then n is obtained in total during the whole test0＝L0/s0Sampling points; and distributing the sampling points in the three regions according to the proportion according to the division of the three regions in the previous subsection.
Meanwhile, assume that the total length of the test apparatus is L1Then every s in the test field can be set1＝L1/n0The distance corresponds to a true sampling point, i.e. for any c.s1(c≥1,c∈N*) The distances are all corresponding to the test values of the real scene; according to the sampling point of the real scene and the actual distance between the test main base station and the test point in the test field, the test transmitting device is dynamically adjusted or the transmitting power of the tested equipment is controlled, so that the signal intensity of the test point and the variation of the signal intensity before and after the test point correspond to the real value (or the receiving value after the large-scale decay through data analysis) of the sampling point of the real scene, and the moving speed of the target equipment in the test field can be correspondingly adjusted.
For the implementation of the fitting inspection part, it is necessary to calculate the fitting degree between the statistical values of channel fading, signal-to-interference-and-noise ratio, difference components of received signal strength, etc. of three regions in the test field and the statistical value of the field test of the target tunnel, and the formula is:
the physical meaning of the fitting degree formula is that the average curve of two curves to be fitted is used as the fitting reference, the fitting degree value range is [0,1], the more similar the two curves are, the higher the fitting degree is, and the fitting degree of the two completely identical curves is 1.
The difference component of the received signal strength extracted from the measurement data is used as a reference to represent the relationship between the change of the signal strength and the moving speed of the test point, so that the speed of the test point in the test device is dynamically controlled, and the equivalent simulation and test work of the target tunnel wireless environment in a short test distance and at different moving speeds of the test point is realized.
In the proposal, a testing device is provided, and the transmitting power of the testing device is dynamically controlled based on a newly-provided fitting degree evaluation formula, thereby realizing the aim that the signal condition experienced at the user terminal is like passing through a tunnel with a specified characteristic.
In the prior art, if the performance of the target device in the wireless environment of the specific tunnel needs to be known, the target device needs to be carried into the specific tunnel, and in the scheme, the wireless environment of the target tunnel can be simulated and generated by using the wireless environment simulation test device of the specific tunnel on the basis of the reference measurement of the target tunnel, so that the trouble of carrying the target device is eliminated, and meanwhile, the wireless environment simulation test device can be used for testing other target devices and target scenes, and the simple and efficient test is realized.
The computer simulation in the prior art realizes that the model of the wireless environment simulation is single, especially the model is lack of a proper simulation model for the special scene of the tunnel wireless environment, the scheme utilizes the existing network test data to carry out the equivalent simulation and generation of the test field environment based on the real network environment, and adopts the novel variable of the key parameter difference quantity to carry out statistical analysis on the basis of the equivalent simulation and generation, thereby clearly describing the individual distribution difference of the signals on the space, which is different from the traditional statistical analysis,
it should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (such as a mobile phone, a computer, a device, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (12)
1. An environmental simulation method, comprising:
acquiring a statistical parameter corresponding to each region in all regions of a target wireless environment; wherein all regions of the target wireless environment include at least two regions; the statistical parameters at least comprise the difference of the signal intensity of each region;
generating a test environment corresponding to the target wireless environment based on the statistical parameters corresponding to each region of the target wireless environment, and detecting to obtain test parameters in the test environment; wherein, the test parameters at least comprise the difference component of the test signal intensity;
performing fitting analysis based on the difference component of the test signal intensity and the difference component of the signal intensity, and determining an adjustment mode of the test environment based on the result of the fitting analysis to obtain an adjusted test environment;
the target wireless environment is the wireless environment of a target tunnel; correspondingly, the method further comprises the following steps:
dividing the target tunnel into three regions; wherein the three regions are respectively: the distance between the target tunnel and the base station is smaller than a first distance value, the distance between the target tunnel and the base station is larger than the first distance value and smaller than a second distance value, and the distance between the target tunnel and the exit of the target tunnel is smaller than a third distance value;
the fitting analysis based on the difference component of the test signal intensity and the difference component of the signal intensity comprises:
determining at least one sampling point matched in the test environment and the target wireless environment;
respectively acquiring a test parameter and a statistical parameter corresponding to each sampling point matched in the test environment and the target wireless environment;
acquiring a difference component of the matched test signal strength and a difference component of the matched signal strength according to the matched test parameters and the statistical parameters in the test environment and the target wireless environment respectively;
and calculating to obtain a fitting value based on the difference component of the test signal intensity and the difference component of the signal intensity.
2. The method of claim 1, further comprising:
acquiring signal intensity and sampling time corresponding to at least one sampling point in each area;
and calculating the difference of the signal intensity between two adjacent sampling points in the physical position in the at least one sampling point one by one, and taking the obtained result as the difference of the signal intensity of the area where the sampling point is located.
3. The method of claim 2, wherein the generating a test environment corresponding to the target wireless environment based on the statistical parameters corresponding to each region of the target wireless environment comprises:
and determining the transmission power of the main base station in the test environment based on the statistical parameters corresponding to each region of the target wireless environment, the physical parameters of the target wireless environment and the physical parameters of the test environment.
4. The method of claim 3, wherein the statistical parameters further include a noise value and a frequency offset value of each of the at least one sampling point of each region;
accordingly, the transmit power of the master base station in the test environment is determined, the method further comprising:
and adding a noise value and a frequency offset value aiming at each test area in the test environment based on the statistical parameters corresponding to the target wireless environment.
5. The method of claim 1, wherein the detecting obtains test parameters in the test environment, comprising:
acquiring position information and moving speed of a test terminal in the test environment; obtaining a signal test result reported by the test terminal;
and determining the corresponding test parameters of the test environment in at least one test area based on the signal test result of the test terminal, the position information and the moving speed of the test terminal.
6. The method of claim 1, wherein determining an adjustment to the test environment based on the results of the fitting analysis to obtain an adjusted test environment comprises:
judging whether the fitting value corresponding to each testing area in the testing environment meets a preset fitting threshold value or not;
if so, determining not to adjust the test area; if not, adjusting the transmitting power of the main base station of the test area to obtain the adjusted test environment.
7. An environmental simulation apparatus, the apparatus comprising:
the test data statistical analysis module is used for acquiring statistical parameters corresponding to each region in all regions of the target wireless environment; wherein all regions of the target wireless environment include at least two regions; the statistical parameters at least comprise the difference of the signal intensity of each region;
a wireless environment peer-to-peer feedback module, configured to generate a test environment corresponding to the target wireless environment based on the statistical parameter corresponding to each region of the target wireless environment, and detect to obtain a test parameter in the test environment; wherein, the test parameters at least comprise the difference component of the test signal intensity;
the parameter regulating and controlling module is used for performing fitting analysis based on the difference component of the test signal intensity and the difference component of the signal intensity, and determining an adjusting mode of the test environment based on the result of the fitting analysis so as to obtain an adjusted test environment;
the target wireless environment is the wireless environment of a target tunnel; correspondingly, the test data statistical analysis module is used for dividing the target tunnel into three areas; wherein the three regions are respectively: the distance between the target tunnel and the base station is smaller than a first distance value, the distance between the target tunnel and the base station is larger than the first distance value and smaller than a second distance value, and the distance between the target tunnel and the exit of the target tunnel is smaller than a third distance value;
the parameter regulating and controlling module is used for determining at least one sampling point matched in the test environment and the target wireless environment;
respectively acquiring a test parameter and a statistical parameter corresponding to each sampling point matched in the test environment and the target wireless environment;
acquiring a difference component of the matched test signal strength and a difference component of the matched signal strength according to the matched test parameters and the statistical parameters in the test environment and the target wireless environment respectively;
and calculating to obtain a fitting value based on the difference component of the test signal intensity and the difference component of the signal intensity.
8. The apparatus of claim 7, further comprising:
the data acquisition module is used for acquiring the signal intensity and the sampling time corresponding to at least one sampling point in each area;
correspondingly, the test data statistical analysis module is used for calculating the difference of the signal intensity between two adjacent sampling points in the physical position in the at least one sampling point one by one, and taking the obtained result as the difference component of the signal intensity of the area where the sampling point is located.
9. The apparatus of claim 8, wherein the wireless environment peer-to-peer feedback module is configured to determine the transmission power of the master base station in the test environment based on the statistical parameters corresponding to each region of the target wireless environment, the physical parameters of the target wireless environment, and the physical parameters of the test environment.
10. The apparatus of claim 8, wherein the statistical parameters further include a noise value and a frequency offset value of each of the at least one sampling point of each region;
correspondingly, the wireless environment peer-to-peer feedback module is configured to add a noise value and a frequency offset value to each test area in the test environment based on the statistical parameter corresponding to the target wireless environment.
11. The apparatus of claim 7, wherein the wireless environment peer-to-peer feedback module is configured to obtain location information and a moving speed of the test terminal in the test environment; obtaining a signal test result reported by the test terminal;
and determining the corresponding test parameters of the test environment in at least one test area based on the signal test result of the test terminal, the position information and the moving speed of the test terminal.
12. The device of claim 7, wherein the parameter adjusting and controlling module is configured to determine whether a fitting value corresponding to each test area in the test environment meets a preset fitting threshold;
if so, determining not to adjust the test area; if not, adjusting the transmitting power of the main base station of the test area to obtain the adjusted test environment.
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| CN110896336B (en) * | 2019-11-18 | 2022-05-10 | 腾讯科技（深圳）有限公司 | Signal regulation and control method, device, equipment and storage medium |
| CN111601331A (en) * | 2020-05-15 | 2020-08-28 | Oppo广东移动通信有限公司 | Terminal test method, terminal test device, test equipment and storage medium |
| CN113823334B (en) * | 2021-11-22 | 2022-02-08 | 腾讯科技（深圳）有限公司 | Environment simulation method applied to vehicle-mounted equipment, related device and equipment |
| CN114236276B (en) * | 2021-12-07 | 2022-10-04 | 安徽中家智锐科技有限公司 | Method and system for remotely testing electric appliance |
| CN115474228B (en) * | 2022-08-18 | 2025-02-11 | 成都市联洲国际技术有限公司 | State detection method, device, terminal and storage medium |
| CN116980054B (en) * | 2023-09-20 | 2023-12-26 | 武汉能钠智能装备技术股份有限公司四川省成都市分公司 | Ultrashort wave signal testing system and method |
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