CN112533251B - Cell interference assessment method and device - Google Patents
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Abstract
The embodiment of the application provides a cell interference assessment method and device, relates to the technical field of communication, and solves the technical problem that an existing test method cannot provide a reliability basis for cell frame structure adjustment. The cell interference assessment method comprises the following steps: determining input information of a preset network model; inputting the input information into a preset network model to obtain uplink data when adjacent cell interference exists in the cell to be evaluated and uplink spectrum efficiency when the adjacent cell interference exists; and obtaining interference evaluation information of the cell to be evaluated under different time slot ratios according to the uplink data and the uplink spectrum efficiency when the adjacent cell interference exists.
Description
Technical Field
The present disclosure relates to the field of communications technologies, and in particular, to a method and an apparatus for evaluating cell interference.
Background
In the fifth generation mobile communication technology (5th generation mobile networks,5G), network resources and related configurations can be adjusted in real time according to time and regional distribution characteristics of different services, so that network deployment difficulty and cost are reduced. Because cross time slot interference exists when an actual flexible frame structure is deployed, serious interference problems can be brought due to inconsistent time slots after network construction, and therefore, the estimated interference degree of the cell after the frame structure is changed is a key index of the flexible frame structure, and is also a basis for interference avoidance and optimization.
In the prior art, the performance influence of interference can be obtained through a system simulation mode, however, in the system simulation mode, the distribution and the service type of users are based on assumptions, and are different from the actual cell situation, so that a reliability basis cannot be provided for cell frame structure adjustment.
Disclosure of Invention
The application provides a cell interference assessment method and device, which solve the technical problem that the existing test method can not provide a reliability basis for cell frame structure adjustment.
In order to achieve the above purpose, the present application adopts the following technical scheme:
in a first aspect, a method for evaluating cell interference is provided, including: determining input information of a preset network model; inputting the input information into a preset network model to obtain uplink data when adjacent cell interference exists in the cell to be evaluated and uplink spectrum efficiency when the adjacent cell interference exists; and obtaining interference evaluation information of the cell to be evaluated under different time slot ratios according to the uplink data and the uplink spectrum efficiency when the adjacent cell interference exists.
In the embodiment of the application, the input information of the preset network model can be determined; inputting the input information into a preset network model to obtain uplink data when adjacent cell interference exists in the cell to be evaluated and uplink spectrum efficiency when the adjacent cell interference exists; and obtaining interference evaluation information of the cell to be evaluated under different time slot ratios according to the uplink data and the uplink spectrum efficiency when the adjacent cell interference exists. According to the scheme, the uplink data and the uplink spectrum efficiency when the adjacent cell interference exists in the cell to be evaluated can be obtained through the preset network model, and the interference evaluation information of the cell to be evaluated under different time slot ratios can be obtained according to the uplink data and the uplink spectrum efficiency, so that a basis can be provided for the decision of a flexible frame structure.
In a second aspect, a cell interference evaluation apparatus is provided, including a determination unit, an input unit, and an evaluation unit. The determining unit is used for determining input information of a preset network model; the input unit is used for inputting the input information into a preset network model to obtain uplink data when adjacent cell interference exists in the cell to be evaluated and uplink spectrum efficiency when the adjacent cell interference exists; the evaluation unit is used for obtaining interference evaluation information of the cell to be evaluated under different time slot ratios according to the uplink data and the uplink spectrum efficiency when the adjacent cell interference exists.
In a third aspect, a cell interference assessment apparatus is provided, comprising a memory and a processor. The memory is used for storing computer execution instructions, and the processor is connected with the memory through a bus. When the cell interference assessment device is operated, the processor executes computer-executable instructions stored in the memory, so that the cell interference assessment device executes the cell interference assessment method provided in the first aspect.
In a fourth aspect, there is provided a computer-readable storage medium comprising computer-executable instructions which, when run on a computer, cause the computer to perform the cell interference assessment method provided in the first aspect.
In a fifth aspect, a computer program product is provided, the computer program product comprising computer instructions which, when run on a computer, cause the computer to perform the cell interference assessment method as provided in the first aspect and its various possible implementations.
It should be noted that the above-mentioned computer instructions may be stored in whole or in part on a computer-readable storage medium. The computer readable storage medium may be packaged together with the processor of the cell interference assessment device or may be packaged separately from the processor of the cell interference assessment device, which is not limited in this application.
The descriptions of the second aspect, the third aspect, the fourth aspect, and the fifth aspect in the present application may refer to the detailed description of the first aspect, which is not repeated herein; moreover, the advantages described in the second aspect, the third aspect, the fourth aspect and the fifth aspect may refer to the analysis of the advantages of the first aspect, and are not described herein.
In the present application, the names of the above-mentioned cell interference assessment means do not constitute limitations on the devices or function modules themselves, which may appear under other names in an actual implementation. Insofar as the function of each device or function module is similar to the present application, it is within the scope of the claims of the present application and the equivalents thereof.
These and other aspects of the present application will be more readily apparent from the following description.
Drawings
Fig. 1 is a schematic structural diagram of a base station generating cross slot interference according to an embodiment of the present application;
fig. 2 is a schematic block diagram of a cell interference evaluation device according to an embodiment of the present application;
fig. 3 is a flow chart of a cell interference evaluation method provided in an embodiment of the present application;
fig. 4 is a schematic hardware structure diagram of a cell interference evaluation device according to an embodiment of the present application;
fig. 5 is a second schematic hardware structure of a cell interference evaluation device according to an embodiment of the present application;
fig. 6 is a third schematic hardware structure of a cell interference evaluation device according to an embodiment of the present application;
fig. 7 is a schematic hardware structure diagram of a cell interference evaluation device according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
It should be noted that, in the embodiments of the present application, words such as "exemplary" or "such as" are used to mean serving as an example, instance, or illustration. Any embodiment or design described herein as "exemplary" or "for example" should not be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete fashion.
In order to clearly describe the technical solutions of the embodiments of the present application, in the embodiments of the present application, the terms "first", "second", and the like are used to distinguish the same item or similar items having substantially the same function and effect, and those skilled in the art will understand that the terms "first", "second", and the like are not limited in number and execution order.
The terms referred to in this application are explained below.
Cross slot interference: if two adjacent cells adopt opposite transmission directions in the same subframe, new interference is introduced in the network, namely, interference from the base station to the base station and interference from the user to the user, except for interference from the base station to the user and interference from the user to the base station existing in the conventional static subframe configuration, and the interference is collectively called cross slot interference, and can be simply called interference in the application.
For example, as shown in fig. 1, when the base stations gNB 1 and gNB 2 adopt the dynamic TDD technology, the Cell 1 adopts downlink transmission DL, its neighboring Cell 2 adopts uplink transmission UL, and at this time, the UE 1 in the Cell 1 may receive uplink transmission signals of the UE 2 in the Cell 2 in addition to downlink transmission signals of the gNB 1, where interference suffered by the UE 1 is user-to-user interference; while gNB 2 receives the uplink transmission signal of UE 2 and the downlink transmission signal of gNB 1, the interference to which gNB 2 is subjected is base station to base station interference. Because the user transmit power is small and the base station transmit power is generally large, the interference caused by the base station transmit signal tends to be much greater than the interference caused by the user transmit signal, i.e., the base station to base station interference tends to be greater than the user to user interference. Thus, in analyzing the interference scenario and solution of dynamic TDD, the interference from base station to base station is often emphasized.
Cumulative distribution function (cumulative distribution function, CDF): for continuous functions, the cumulative distribution function represents the sum of occurrence probabilities of all values equal to or less than a, i.e., cumulative distribution function F (a) =p (x < =a).
The application scenario of the present application is explained below.
The 5G system is designed for three application scenes of enhanced mobile broadband (enhance mobile broadband, eMBB), mass Internet of things communication (massive machine type communication, mMTC), ultra-high reliability and ultra-low latency service (URLLC). In order to meet network requirements in the same place and different scenes, a plurality of 5G networks are often required to be built, and different network configurations are designed for services in different scenes. However, serious cross-slot interference problems may result from slot inconsistencies after network construction. Therefore, the influence of the interference base station on the uplink performance of the base station and the uplink throughput of the user when the actual multiple users exist are estimated before the frame structure is changed, and a basis can be provided for whether the frame structure is applied and the interference avoidance.
In order to estimate the network performance of the cell after the frame structure is changed, the embodiment of the application provides a cell interference assessment method, and the cell interference assessment method provided by the embodiment of the application is described in detail below.
The embodiment of the application provides a cell interference evaluation method, which can be applied to a cell interference evaluation device, as shown in fig. 2, wherein the cell interference evaluation device can comprise a link uplink spectrum efficiency evaluation module and a single user uplink capacity evaluation module, and the link uplink spectrum efficiency evaluation module can comprise 3 sub-modules, namely a data extraction module, a feature extraction module and an artificial intelligent module. As shown in fig. 3, the cell interference evaluation method may include S301 to S303 described below.
S301, the cell interference assessment device determines input information of a preset network model.
The input information may include uplink data when the cell to be evaluated does not have adjacent cell interference and spectrum characteristic parameters when the adjacent cell interference exists, where the uplink data may include an initial packet error rate (initial block error rate, IBLER), a modulation and coding strategy (modulation and coding scheme, MCS), a signal-to-interference-and-noise-ratio (SINR), and a Rank Indication (RI), and the spectrum characteristic parameters may include a maximum interference value, a minimum interference value, an intermediate interference value, a histogram mean value, a histogram standard deviation, a histogram smoothness, and a histogram entropy.
The cell interference assessment device may establish the preset network model before S301. Optionally, the cell interference evaluation device may first obtain uplink data when no neighbor cell interference exists in the test cell, a spectrum characteristic parameter when neighbor cell interference exists, uplink data when neighbor cell interference exists, and uplink spectrum efficiency when neighbor cell interference exists. And then taking the uplink data without adjacent cell interference and the spectrum characteristic parameters with adjacent cell interference as inputs, and taking the uplink spectrum efficiency with adjacent cell interference and the uplink data with adjacent cell interference as outputs, and training to obtain the preset network model.
Specifically, the cell interference evaluation device may first obtain, by using the data extraction module, uplink data (including IBLER, MCS, RI and SINR) when no neighbor cell interference exists in the test cell, and uplink data, uplink spectrum efficiency and uplink spectrum diagrams of the base station side under various interference types when neighbor cell interference exists, where the time domain granularity is a slot, and the frequency domain granularity is a subcarrier. Then, the cell interference evaluation device can perform feature extraction on an uplink spectrogram when the adjacent cell interference exists in the test cell through a feature extraction module, select one slot in time, select the whole bandwidth in the frequency domain, and obtain spectrum feature parameters: maximum disturbance value, minimum disturbance value, median disturbance value, histogram mean, histogram standard deviation, histogram smoothness and histogram entropy. And finally, the cell interference assessment device can use the uplink data without adjacent cell interference and the spectrum characteristic parameters with adjacent cell interference as input, and use the uplink spectrum efficiency with adjacent cell interference and the uplink data with adjacent cell interference as output through the artificial intelligent module, and the uplink spectrum efficiency with adjacent cell interference of the link is represented by using a neural network training model. After training and testing, outputting a preset network model which meets the expectations.
Alternatively, the neural network training model may be a BP neural network. Because BP neural network can learn and store a large number of input-output pattern mappings without revealing beforehand mathematical equations describing such mappings. The learning rule is that the steepest descent method is used, the weight and the threshold value of the network are continuously adjusted through back propagation, and the square sum of errors of the network is minimized, so that the model training module in the application can train by taking the BP neural network as a neural network training model to obtain a preset network model.
After the preset network model is established, the cell interference assessment device may determine input information of the preset network model, where the input information is uplink data when no neighbor cell interference exists in the cell to be assessed and a spectrum characteristic parameter when neighbor cell interference exists in the cell to be assessed.
Specifically, on one hand, the cell interference evaluation device may obtain, through the data extraction module, uplink data when the cell to be evaluated does not have adjacent cell interference, where the uplink data may include IBLER, MCS, RI and SINR because the frame structure of the cell to be evaluated is the same as the large network frame structure and has no cross slot interference. On the other hand, the cell interference evaluation device can combine the base station information, determine the position of the interference base station and the path loss information from the interference base station to the interfered base station, and then sum the parameters of a plurality of interference base stations to form a spectrogram of the interfered base station. Then, the cell interference evaluation device can use a slot as a unit, and the characteristic extraction module is used for extracting the spectral characteristic parameters of the spectrogram when the adjacent cell interference exists in the cell to be evaluated.
Optionally, the spectrum diagram of the interfered base station may include interference power when the cell to be evaluated has neighbor cell interference. The determining, by the cell interference evaluating device, a spectrogram when the cell to be evaluated has neighboring cell interference may specifically include: determining the background noise I of the interfered base station and the receiving gain G of the interfered base station r Base station path loss L i (f, t) transmit power P of each of a plurality of interfering base stations i And a transmission gain G t,i Under the condition that the interfered base station is uplink transmission and the plurality of interfering base stations are downlink transmission, determining that the interference power when the adjacent cell interference exists in the cell to be evaluated is as follows:
otherwise, determining the interference power as follows: i (f, t) =i, where N is the number of interfering base stationsI is a positive integer less than or equal to N.
S302, the cell interference assessment device inputs the input information into a preset network model to obtain uplink data when adjacent cell interference exists in the cell to be assessed and uplink spectrum efficiency when the adjacent cell interference exists.
The cell interference assessment device can input the input information in the S301 to a trained preset network model through an artificial intelligent module, and then uplink data of each link of the cell to be assessed when adjacent cell interference exists and uplink spectrum efficiency of each link of the cell to be assessed when adjacent cell interference exists can be obtained.
S303, the cell interference evaluation device obtains interference evaluation information of the cell to be evaluated under different time slot ratios according to uplink data and uplink spectrum efficiency when adjacent cell interference exists.
The interference evaluation information includes uplink throughput evaluation information and signal-to-interference-and-noise ratio evaluation information.
The cell interference evaluation device can calculate the uplink throughput of a link according to the uplink data and the uplink spectrum efficiency when the link has adjacent cell interference through a single-user uplink capacity evaluation module. Specifically, the cell interference evaluation device may be according to the formula:
calculating the uplink throughput of all links, wherein j represents different links; />
Indicating the number of reception layers; />
The bit gain of the modulation mode can obtain 256QAM bit gain value of 8 and 64QAM bit gain value of 6 according to the MCS; f (f) (j) Representing conversion coefficient, 2.5 double-period downlink is 64.29%, and uplink is 32.86%; r is R (j) The uplink spectral efficiency denoted as j-th link; t (T) s u For a period of one OFDM symbol, OH (j) As overhead ratioFor example, the downlink overhead ratio takes a value of 0.14, and the uplink overhead ratio takes a value of 0.08.
After the cell interference assessment device determines the uplink throughput and SINR of all links, CDF statistics can be performed on the uplink throughput and SINR respectively, so that the influence of adjacent cell interference on the cell to be assessed is obtained.
Illustratively, the CDF statistics may obtain the evaluation information of the uplink throughput at different timeslot ratios as shown in table 1 and the evaluation information of the signal-to-interference-and-noise ratio SINR at different timeslot ratios as shown in table 2.
TABLE 1
| Uplink throughput | No interference | |
Time slot ratio i | …… | Time slot ratio N |
| Average throughput | |||||
| Minimum throughput | |||||
| Maximum throughput | |||||
| 30% throughput | |||||
| 50% throughput | |||||
| 80% throughput |
TABLE 2
| Uplink SINR | No interference | |
Time slot ratio i | …… | Time slot ratio N |
| Average SINR | |||||
| Minimum SINR | |||||
| Maximum SINR | |||||
| 30％SINR | |||||
| 50％SINR | |||||
| 80％SINR |
The embodiment of the application provides a cell interference evaluation method, which can obtain uplink data and uplink spectrum efficiency when adjacent cell interference exists in a cell to be evaluated through a preset network model, and obtain interference evaluation information of the cell to be evaluated under different time slot proportions according to the uplink data and the uplink spectrum efficiency, so that basis can be provided for decision of a flexible frame structure.
The foregoing description of the solution provided in the embodiments of the present application has been mainly presented in terms of a method. To achieve the above functions, it includes corresponding hardware structures and/or software modules that perform the respective functions. Those of skill in the art will readily appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be implemented as hardware or combinations of hardware and computer software. Whether a function is implemented as hardware or computer software driven hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the method for evaluating cell interference provided in the embodiment of the present application, the execution body may be a cell interference evaluating device, or a control module for uplink rate evaluation in the cell interference evaluating device. In the embodiment of the present application, a method for performing cell interference estimation by using a cell interference estimation device is taken as an example, and the cell interference estimation device provided in the embodiment of the present application is described.
It should be noted that, in the embodiment of the present application, the functional modules may be divided into the cell interference assessment device according to the above method example, for example, each functional module may be divided into each functional module corresponding to each function, or two or more functions may be integrated into one processing module. The integrated modules may be implemented in hardware or in software functional modules. Optionally, the division of the modules in the embodiments of the present application is schematic, which is merely a logic function division, and other division manners may be actually implemented.
As shown in fig. 4, a cell interference evaluation apparatus provided in an embodiment of the present application. The cell interference assessment device 400 may comprise a determination unit 401, an input unit 402 and an assessment unit 403. The determining unit 401 may be configured to determine input information of a preset network model; the input unit 402 may be configured to input the input information into a preset network model, to obtain uplink data when adjacent cell interference exists in the cell to be evaluated and uplink spectrum efficiency when adjacent cell interference exists in the cell to be evaluated; the evaluation unit 403 may be configured to obtain interference evaluation information of the cell to be evaluated under different timeslot ratios according to the uplink data and uplink spectrum efficiency when the adjacent cell interference exists; the input information comprises uplink data when the cell to be evaluated does not have adjacent cell interference and frequency spectrum characteristic parameters when the adjacent cell interference exists, wherein the uplink data comprises a primary transmission packet error rate, a modulation and coding strategy, a signal interference noise ratio and a rank indication, and the frequency spectrum characteristic parameters comprise a maximum interference value, a minimum interference value, an intermediate interference value, a histogram mean value, a histogram standard deviation, a histogram smoothness and a histogram entropy. For example, in connection with fig. 3, the determining unit 401 may be used to perform S301, the input unit 402 may be used to perform S302, and the evaluating unit 403 may be used to perform S303.
Optionally, in the case that the input information is the spectrum characteristic parameter, the determining unit 401 may be specifically configured to determine a spectrum diagram when the cell to be evaluated has neighboring cell interference, where the spectrum diagram includes interference power when the cell to be evaluated has neighboring cell interference; and extracting spectral characteristic parameters of a spectrogram when adjacent cell interference exists in the cell to be evaluated.
Optionally, the determining unit 401 may be specifically configured to determine a noise floor I of the interfered base station, and a receiving gain G of the interfered base station r Base station path loss L i (f, t) transmit power P of each of a plurality of interfering base stations i And a transmission gain G t,i The method comprises the steps of carrying out a first treatment on the surface of the And under the condition that the interfered base station is uplink transmission and the plurality of interference base stations are downlink transmission, determining that the interference power when the cell to be evaluated has adjacent cell interference is as follows:
otherwise, determining the interference power as: i (f, t) =i, where N is the number of interfering base stations and I is a positive integer less than or equal to N.
Optionally, in conjunction with fig. 4, as shown in fig. 5, the above-mentioned cell interference assessment apparatus 400 may further include: an acquisition unit 404 and a training unit 405. The obtaining unit 404 may be configured to obtain uplink data when no neighbor cell interference exists in the test cell, a spectrum characteristic parameter when neighbor cell interference exists, uplink data when neighbor cell interference exists, and uplink spectrum efficiency when neighbor cell interference exists. The training unit 405 may be configured to train to obtain the preset network model by using the uplink data without the neighboring cell interference and the spectrum characteristic parameter with the neighboring cell interference as input, and using the uplink spectrum efficiency with the neighboring cell interference and the uplink data with the neighboring cell interference as output.
Of course, the cell interference assessment apparatus 400 provided in the embodiments of the present application includes, but is not limited to, the above modules.
The embodiment of the application provides a cell interference evaluation device, which can obtain uplink data and uplink spectrum efficiency when adjacent cell interference exists in a cell to be evaluated through a preset network model, and obtain interference evaluation information of the cell to be evaluated under different time slot proportions according to the uplink data and the uplink spectrum efficiency, so that basis can be provided for decision of a flexible frame structure.
The embodiment of the application also provides a cell interference assessment device as shown in fig. 6, which comprises a processor 11, a memory 12, a communication interface 13 and a bus 14. The processor 11, the memory 12 and the communication interface 13 may be connected by a bus 14.
The processor 11 is a control center of the cell interference evaluating apparatus, and may be one processor or a collective term of a plurality of processing elements. For example, the processor 11 may be a general-purpose central processing unit (central processing unit, CPU), or may be another general-purpose processor. Wherein the general purpose processor may be a microprocessor or any conventional processor or the like.
As an example, processor 11 may include one or more CPUs, such as CPU 0 and CPU 1 shown in fig. 6.
In a possible implementation, the memory 12 may exist separately from the processor 11, and the memory 12 may be connected to the processor 11 through the bus 14 for storing instructions or program code. The processor 11, when calling and executing instructions or program codes stored in the memory 12, is capable of implementing the cell interference assessment method provided in the embodiment of the present application.
In another possible implementation, the memory 12 may also be integrated with the processor 11.
A communication interface 13 for connecting with other devices via a communication network. The communication network may be an ethernet, a radio access network, a wireless local area network (wireless local area networks, WLAN), etc. The communication interface 13 may include a receiving unit for receiving data, and a transmitting unit for transmitting data.
It should be noted that the structure shown in fig. 6 does not constitute a limitation of the cell interference evaluation device. The cell interference assessment means may comprise more or less components than shown in fig. 6, or some components may be combined, or a different arrangement of components.
Fig. 7 shows another hardware configuration of the cell interference assessment device in the embodiment of the present application. As shown in fig. 7, the cell interference assessment device may include a processor 21 and a communication interface 22. The processor 21 is coupled to a communication interface 22.
The function of the processor 21 may be as described above with reference to the processor 11. The processor 21 also has a memory function, and the function of the memory 12 can be referred to.
The communication interface 22 is used to provide data to the processor 21. The communication interface 22 may be an internal interface of the cell interference assessment device or an external interface of the cell interference assessment device (corresponding to the communication interface 13).
It is noted that the structure shown in fig. 6 (or fig. 7) does not constitute a limitation of the cell interference evaluation device, and the cell interference evaluation device may include more or less components than those shown in fig. 6 (or fig. 7), or may combine some components, or may be arranged in different components.
Embodiments of the present application also provide a computer-readable storage medium including computer-executable instructions. The computer-executable instructions, when executed on a computer, cause the computer to perform the steps performed by the cell interference assessment device in the cell interference assessment method provided by the above embodiments.
The embodiment of the present application further provides a computer program product, which can be directly loaded into a memory and contains software codes, and the computer program product can implement each step executed by the cell interference evaluation device in the cell interference evaluation method provided in the above embodiment after being loaded and executed by a computer.
In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented using a software program, it may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer-executable instructions are loaded and executed on a computer, the processes or functions in accordance with embodiments of the present application are fully or partially produced. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in or transmitted from one computer-readable storage medium to another, for example, a website, computer, server, or data center via a wired (e.g., coaxial cable, fiber optic, digital subscriber line (digital subscriber line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. Computer readable storage media can be any available media that can be accessed by a computer or data storage devices including one or more servers, data centers, etc. that can be integrated with the media. The usable medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a magnetic tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a Solid State Disk (SSD)), or the like.
From the foregoing description of the embodiments, it will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of functional modules is illustrated, and in practical application, the above-described functional allocation may be implemented by different functional modules according to needs, i.e. the internal structure of the apparatus is divided into different functional modules to implement all or part of the functions described above.
In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described embodiments of the apparatus are merely illustrative, and the division of modules or units is merely a logical function division, and other manners of division may be implemented in practice. For example, multiple units or components may be combined or may be integrated into another device, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form. The units described as separate parts may or may not be physically separate, and the parts shown as units may be one physical unit or a plurality of physical units, may be located in one place, or may be distributed in a plurality of different places. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units. The integrated units may be stored in a readable storage medium if implemented in the form of software functional units and sold or used as stand-alone products. Based on such understanding, the technical solution of the embodiments of the present application may be essentially or a part contributing to the prior art or all or part of the technical solution may be embodied in the form of a software product stored in a storage medium, including several instructions for causing a device (may be a single-chip microcomputer, a chip or the like) or a processor (processor) to perform all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk, etc.
The foregoing is merely specific embodiments of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions easily conceivable by those skilled in the art within the technical scope of the present application should be covered in the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (8)
1. A method for evaluating cell interference, comprising:
determining input information of a preset network model; the preset network model is trained to obtain a network model by taking uplink data without adjacent cell interference and spectrum characteristic parameters with adjacent cell interference as inputs and uplink spectrum efficiency with adjacent cell interference and uplink data with adjacent cell interference as outputs;
inputting the input information into the preset network model to obtain uplink data when adjacent cell interference exists in the cell to be evaluated and uplink spectrum efficiency when the adjacent cell interference exists;
obtaining interference evaluation information of the cell to be evaluated under different time slot ratios according to the uplink data and the uplink spectrum efficiency when the adjacent cell interference exists;
the input information comprises uplink data when the cell to be evaluated does not have adjacent cell interference and spectrum characteristic parameters when the cell to be evaluated has adjacent cell interference, wherein the uplink data comprises a primary transmission packet error rate, a modulation and coding strategy, a signal interference noise ratio and a rank indication, and the spectrum characteristic parameters comprise a maximum interference value, a minimum interference value, an intermediate interference value, a histogram mean value, a histogram standard deviation, a histogram smoothness and a histogram entropy.
2. The method for evaluating cell interference according to claim 1, wherein, in the case where the input information is the spectrum characteristic parameter, the determining the input information of the preset network model includes:
determining a spectrogram when adjacent cell interference exists in the cell to be evaluated, wherein the spectrogram comprises interference power when adjacent cell interference exists in the cell to be evaluated;
and extracting spectral characteristic parameters of a spectrogram when adjacent cell interference exists in the cell to be evaluated.
3. The method for evaluating cell interference according to claim 2, wherein said determining a spectrogram of the cell to be evaluated when there is neighbor cell interference comprises:
determining the background noise I of the interfered base station and the receiving gain G of the interfered base station r Base station path loss L i (f, t) transmit power P of each of a plurality of interfering base stations i And a transmission gain G t,i ；
And under the condition that the interfered base station is uplink transmission and the plurality of interference base stations are downlink transmission, determining that the interference power when the cell to be evaluated has adjacent cell interference is as follows:
otherwise, determining the interference power as: i (f, t) =i, where N is the number of interfering base stations and I is a positive integer less than or equal to N.
4. A cell interference assessment apparatus, comprising: a determination unit, an input unit, and an evaluation unit;
the determining unit is used for determining input information of a preset network model; the preset network model is trained to obtain a network model by taking uplink data without adjacent cell interference and spectrum characteristic parameters with adjacent cell interference as inputs and uplink spectrum efficiency with adjacent cell interference and uplink data with adjacent cell interference as outputs;
the input unit is used for inputting the input information into the preset network model to obtain uplink data when adjacent cell interference exists in the cell to be evaluated and uplink spectrum efficiency when the adjacent cell interference exists in the cell to be evaluated;
the evaluation unit is used for obtaining interference evaluation information of the cell to be evaluated under different time slot ratios according to the uplink data and the uplink spectrum efficiency when the adjacent cell interference exists;
the input information comprises uplink data when the cell to be evaluated does not have adjacent cell interference and spectrum characteristic parameters when the cell to be evaluated has adjacent cell interference, wherein the uplink data comprises a primary transmission packet error rate, a modulation and coding strategy, a signal interference noise ratio and a rank indication, and the spectrum characteristic parameters comprise a maximum interference value, a minimum interference value, an intermediate interference value, a histogram mean value, a histogram standard deviation, a histogram smoothness and a histogram entropy.
5. The cell interference assessment device according to claim 4, wherein, in the case where the input information is the spectral feature parameter, the determining unit is specifically configured to determine a spectrogram when the cell to be assessed has neighboring cell interference, where the spectrogram includes interference power when the cell to be assessed has neighboring cell interference; and extracting spectral characteristic parameters of a spectrogram when adjacent cell interference exists in the cell to be evaluated.
6. Cell interference assessment according to claim 5The device is characterized in that the determining unit is specifically used for determining the background noise I of the interfered base station and the receiving gain G of the interfered base station r Base station path loss L i (f, t) transmit power P of each of a plurality of interfering base stations i And a transmission gain G t,i The method comprises the steps of carrying out a first treatment on the surface of the And under the condition that the interfered base station is uplink transmission and the plurality of interference base stations are downlink transmission, determining that the interference power when the cell to be evaluated has adjacent cell interference is as follows:
otherwise, determining the interference power as: i (f, t) =i, where N is the number of interfering base stations and I is a positive integer less than or equal to N.
7. A cell interference assessment apparatus, comprising a memory and a processor; the memory is used for storing computer execution instructions, and the processor is connected with the memory through a bus;
the processor executing the computer-executable instructions stored by the memory to cause the cell interference assessment apparatus to perform the cell interference assessment method of any one of claims 1-3 when the cell interference assessment apparatus is operating.
8. A computer readable storage medium comprising computer executable instructions which, when run on a computer, cause the computer to perform the cell interference assessment method according to any of claims 1-3.
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| CN115087004B (en) * | 2022-06-20 | 2024-04-02 | 中国联合网络通信集团有限公司 | Uplink signal detection method and device of flexible frame structure simulation system |
| CN115087008B (en) * | 2022-06-20 | 2024-04-12 | 中国联合网络通信集团有限公司 | Method and device for detecting downlink signal of flexible frame structure simulation system |
| CN115087013B (en) * | 2022-06-20 | 2024-04-02 | 中国联合网络通信集团有限公司 | Uplink signal detection method and device of flexible frame structure simulation system |
| CN115087007B (en) * | 2022-06-20 | 2024-04-02 | 中国联合网络通信集团有限公司 | Method and device for detecting downlink signal of flexible frame structure simulation system |
| CN117793785A (en) * | 2022-09-19 | 2024-03-29 | 中兴通讯股份有限公司 | Interference processing method, device, electronic equipment and computer readable storage medium |
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