CN112533251A - Cell interference assessment method and device - Google Patents
Cell interference assessment method and device Download PDFInfo
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Abstract
The embodiment of the application provides a cell interference evaluation method and a cell interference evaluation device, relates to the technical field of communication, and solves the technical problem that the existing test method cannot provide a reliability basis for cell frame structure adjustment. The cell interference evaluation 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 a cell to be evaluated and uplink spectrum efficiency when 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 application relates to the field of communications technologies, and in particular, to a cell interference assessment method and apparatus.
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, thereby reducing network deployment difficulty and cost. Because cross time slot interference exists when an actual flexible frame structure is deployed, and serious interference problems can be caused by time slot inconsistency after network construction, the estimated interference degree of a cell after the frame structure is changed is a key index for applying the flexible frame structure and is also a basis for interference avoidance and optimization.
In the prior art, the performance impact of interference can be obtained in a system simulation manner, however, in the system simulation manner, the distribution and the service type of users are assumed to be based on, and are different from the actual cell situation, so that a reliability basis cannot be provided for adjusting the cell frame structure.
Disclosure of Invention
The application provides a cell interference evaluation method and a cell interference evaluation device, which solve the technical problem that the existing test method cannot provide a reliability basis for cell frame structure adjustment.
In order to achieve the purpose, the technical scheme is as follows:
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 a cell to be evaluated and uplink spectrum efficiency when 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 a cell to be evaluated and uplink spectrum efficiency when 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. By the scheme, uplink data and uplink spectrum efficiency of the cell to be evaluated when adjacent cell interference exists can be obtained through the preset network model, and 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 decision of a flexible frame structure.
In a second aspect, a cell interference evaluation apparatus is provided, which includes a determining unit, an input unit, and an evaluating 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 the cell to be evaluated has adjacent cell interference and uplink spectrum efficiency when the cell to be evaluated has adjacent cell interference; the evaluation unit is configured to obtain interference evaluation information of the cell to be evaluated at different timeslot ratios according to the uplink data and the uplink spectrum efficiency when the neighboring cell interference exists.
In a third aspect, an apparatus for cell interference assessment is provided and includes 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 evaluation device is running, the processor executes the computer execution instructions stored in the memory, so that the cell interference evaluation device executes the cell interference evaluation method provided by the first aspect.
In a fourth aspect, a computer-readable storage medium is provided, which includes computer-executable instructions, which when executed 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, which comprises computer instructions that, 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 all or part of the computer instructions may be stored on the computer readable storage medium. The computer-readable storage medium may be packaged together with the processor of the cell interference evaluation apparatus, or may be packaged separately from the processor of the cell interference evaluation apparatus, which is not limited in this application.
In the description of the second aspect, the third aspect, the fourth aspect, and the fifth aspect in the present application, reference may be made to the detailed description of the first aspect, which is not repeated herein; in addition, for the beneficial effects described in the second aspect, the third aspect, the fourth aspect and the fifth aspect, reference may be made to the beneficial effect analysis of the first aspect, and details are not repeated here.
In the present application, the names of the above-mentioned cell interference evaluation devices do not limit the devices or functional modules themselves, and in practical implementations, these devices or functional modules may appear by other names. Insofar as the functions of the respective devices or functional modules are similar to those of the present application, they fall within the scope of the claims of the present application and their equivalents.
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 diagram illustrating a module composition of a cell interference evaluation apparatus according to an embodiment of the present disclosure;
fig. 3 is a flowchart illustrating a method for evaluating cell interference according to an embodiment of the present application;
fig. 4 is a schematic hardware structure diagram of a cell interference evaluation apparatus according to an embodiment of the present disclosure;
fig. 5 is a second schematic diagram of a hardware structure of an apparatus for cell interference estimation according to an embodiment of the present application;
fig. 6 is a third schematic hardware structure diagram of a cell interference evaluation apparatus according to an embodiment of the present application;
fig. 7 is a fourth schematic hardware structure diagram of a cell interference evaluation apparatus according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that in the embodiments of the present application, words such as "exemplary" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described herein as "exemplary" or "e.g.," is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word "exemplary" or "such as" is intended to present concepts related in a concrete fashion.
For the convenience of clearly describing the technical solutions of the embodiments of the present application, in the embodiments of the present application, the terms "first" and "second" are used to distinguish the same items or similar items with basically the same functions and actions, and those skilled in the art can understand that the terms "first" and "second" are not used to limit the quantity and execution order.
The following explains the terms referred to in the present application.
Cross-slot interference: if two adjacent cells use opposite transmission directions in the same subframe, in addition to the base station-to-user interference and user-to-base station interference existing in the conventional static subframe configuration, new interference, that is, the base station-to-base station interference and user-to-user interference, will be introduced into the network, and these interferences are collectively referred to as cross slot interference, which may be referred to as interference for short in this application.
For example, as shown in fig. 1, when base stations gNB 1 and gNB 2 adopt a dynamic time division duplex TDD technology, Cell 1 adopts downlink transmission DL, and its neighboring Cell 2 adopts uplink transmission UL, at this time, user equipment UE 1 in Cell 1 can receive uplink transmission signals of UE 2 in Cell 2 in addition to downlink transmission signals of gNB 1, and interference experienced by UE 1 is interference from a user to a user; and in addition to receiving the uplink transmission signal of the UE 2, the gNB 2 also receives the downlink transmission signal of the gNB 1, and interference suffered by the gNB 2 is interference from the base station to the base station. Because the user transmission power is small and the base station transmission power is usually large, the interference caused by the base station transmission signal is often much larger than the interference caused by the user transmission signal, that is, the interference from the base station to the base station is often larger than the interference from the user to the user. Therefore, in analyzing the interference scenario and solution of dynamic TDD, it is usually important to consider the interference from the base station to the base station.
Cumulative Distribution Function (CDF): for the continuous function, the cumulative distribution function represents the sum of the occurrence probabilities of all values equal to or less than a, i.e., the cumulative distribution function f (a) ═ P (x < ═ a).
The following explains an application scenario of the present application.
The 5G system is designed for three application scenarios, namely enhanced mobile broadband (eMBB), massive internet of things communication (mtc), 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 time-slot inconsistency 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 interference avoidance.
In order to estimate the network performance of the cell after the frame structure is changed, an embodiment of the present application provides a cell interference evaluation method, and details of the cell interference evaluation method provided in the embodiment of the present application are described below.
An embodiment of the present application provides a cell interference evaluation method, which may be applied to a cell interference evaluation device, as shown in fig. 2, the cell interference evaluation device may include a link uplink spectral efficiency evaluation module and a single-user uplink capacity evaluation module, where the link uplink spectral efficiency evaluation module may include 3 sub-modules, which are a data extraction module, a feature extraction module, and an artificial intelligence module, respectively. As shown in fig. 3, the cell interference evaluation method may include S301 to S303 described below.
S301, the cell interference evaluation 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 neighboring cell interference and spectral characteristic parameters when the neighboring cell interference exists, where the uplink data may include initial block error rate (IBLER), Modulation and Coding Scheme (MCS), signal-to-interference-and-noise-ratio (SINR), and Rank Indication (RI), and the spectral characteristic parameters may include a maximum interference value, a minimum interference value, a median interference value, a mean histogram value, a standard histogram difference, a histogram smoothness entropy, and a histogram smoothness entropy.
Before S301, the cell interference evaluation apparatus may first establish the predetermined network model. Optionally, the cell interference evaluation apparatus may first obtain uplink data when no neighboring cell interference exists in the test cell, a spectrum characteristic parameter when neighboring cell interference exists, uplink data when neighboring cell interference exists, and uplink spectrum efficiency when neighboring cell interference exists. And then training to obtain the preset network model by taking the uplink data when no adjacent cell interference exists and the spectrum characteristic parameter when the adjacent cell interference exists as input and taking the uplink spectrum efficiency when the adjacent cell interference exists and the uplink data when the adjacent cell interference exists as output.
Specifically, the cell interference evaluation apparatus may first obtain, through the data extraction module, uplink data (including IBLER, MCS, RI, and SINR) of the test cell when there is no neighboring cell interference, and uplink data, uplink spectrum efficiency, and an uplink spectrum map of the base station side under various interference types when there is neighboring cell interference, where the time domain granularity is one slot, and the frequency domain granularity is one subcarrier. Then, the cell interference evaluation device can perform feature extraction on the uplink spectrogram when the neighboring cell interference exists in the test cell through a feature extraction module, wherein one slot is selected in time, the whole bandwidth is selected in a frequency domain, and spectrum feature parameters are obtained: maximum interference value, minimum interference value, median interference value, histogram mean, histogram standard deviation, histogram smoothness, and histogram entropy. Finally, the cell interference evaluation device can use the uplink data when no adjacent cell interference exists and the spectrum characteristic parameter when the adjacent cell interference exists as input through the artificial intelligence module, use the uplink spectrum efficiency when the adjacent cell interference exists and the uplink data when the adjacent cell interference exists as output, and use the neural network training model to represent the uplink spectrum efficiency when the adjacent cell interference exists in the link. After training and testing, outputting a preset network model which is in accordance with expectation.
Optionally, the neural network training model may be a BP neural network. Since the BP neural network can learn and store a large number of input-output pattern mappings without a priori revealing mathematical equations describing such mappings. The learning rule of the method is that a steepest descent method is used, the weight and the threshold of the network are continuously adjusted through back propagation, and the sum of squares of errors of the network is minimized, so that the model training module in the application can train 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 evaluation apparatus may determine input information of the preset network model, where the input information is uplink data of a cell to be evaluated when no neighboring cell interference exists and a spectrum characteristic parameter of the cell to be evaluated when the neighboring cell interference exists.
Specifically, on the one hand, the cell interference evaluation apparatus may obtain, through the data extraction module, uplink data when there is no neighboring cell interference in the cell to be evaluated, and at this time, because the frame structure of the cell to be evaluated is not changed yet, the frame structure is the same as the frame structure of the large network, and there is no cross slot interference, so that the uplink data may include IBLER, MCS, RI, and SINR. On the other hand, the cell interference evaluation device may determine the position of the interfering base station and the path loss information from the interfering base station to the interfered base station by combining the base station information, and then sum the parameters of the interfering base stations to form a spectrogram of the interfered base station. Then, the cell interference evaluation apparatus may extract, by using one slot as a unit, a spectrum characteristic parameter of a spectrogram of the cell to be evaluated when the neighboring cell interference exists through the characteristic extraction module.
Optionally, the frequency spectrum diagram of the interfered base station may include interference power when neighboring cell interference exists in the cell to be evaluated. The cell interference evaluation apparatus may determine a frequency spectrogram of a cell to be evaluated when neighboring cell interference exists, where the determining may specifically include: determining base of disturbed base stationNoise I, receiving gain G of disturbed base stationrBase station path loss Li(f, t) and the transmission power P of each of the plurality of interfering base stationsiAnd a transmission gain Gt,iAnd under the condition that the interfered base station is in uplink transmission and the plurality of interfering base stations are in downlink transmission, determining the interference power of the cell to be evaluated when the adjacent cell interference exists as follows:
otherwise, determining the interference power as: and I (f, t) ═ I, wherein N is the number of interfering base stations, and I is a positive integer less than or equal to N.
S302, the cell interference evaluation device inputs the input information into a preset network model to obtain uplink data when the cell to be evaluated has adjacent cell interference and uplink spectrum efficiency when the cell to be evaluated has adjacent cell interference.
The cell interference evaluation device can input the input information in the step S301 to the trained preset network model through the artificial intelligence module, so as to obtain uplink data of each link of the cell to be evaluated when the neighboring cell interference exists and uplink spectrum efficiency of each link of the cell to be evaluated when the neighboring cell interference exists.
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 the adjacent cell interference exists.
The interference evaluation information includes evaluation information of uplink throughput and evaluation information of signal interference noise ratio.
The cell interference evaluation device can calculate the uplink throughput of a link according to uplink data and uplink spectrum efficiency of the link when the adjacent cell interference exists in the link through the single-user uplink capacity evaluation module. Specifically, the cell interference evaluation apparatus may:
calculating the uplink throughputs of all links, wherein j represents different links;
indicating the number of receiving layers;
the bit gain of the modulation mode can obtain that the gain value of 256QAM bits is 8 and the gain value of 64QAM bits is 6 according to the MCS; f. of(j)Representing the conversion coefficient, 64.29% is drawn downwards and 32.86% is drawn upwards in 2.5 double periods; r(j)Expressed as the uplink spectral efficiency of the jth link; t iss uIs the period of one OFDM symbol, OH(j)The overhead ratio is 0.14 for the downlink overhead ratio and 0.08 for the uplink overhead ratio.
After the cell interference evaluation device determines the uplink throughputs and SINRs of all links, CDF statistics can be performed on the uplink throughputs and SINRs respectively, so that the influence of the neighboring cell interference on the cell to be evaluated is obtained.
For example, the CDF statistics may obtain the estimation information of the uplink throughput at different timeslot configurations as shown in table 1 and the estimation information of the signal to interference plus noise ratio SINR at different timeslot configurations as shown in table 2.
TABLE 1
| Uplink throughput | Without 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 | Without 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 provide a basis for decision of a flexible frame structure because uplink data and uplink spectrum efficiency of a cell to be evaluated when adjacent cell interference exists can be obtained through a preset network model, and 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.
The scheme provided by the embodiment of the application is mainly introduced from the perspective of a method. To implement the above functions, it includes hardware structures and/or software modules for performing the respective functions. Those of skill in the art will readily appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as hardware or combinations of hardware and computer software. Whether a function is performed as hardware or computer software drives 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 cell interference evaluation method provided in the embodiment of the present application, the execution subject may be a cell interference evaluation device, or a control module for uplink rate evaluation in the cell interference evaluation device. The embodiment of the present application describes a cell interference evaluation apparatus provided in the embodiment of the present application by taking a cell interference evaluation method executed by the cell interference evaluation apparatus as an example.
It should be noted that, in the embodiment of the present application, functional modules may be divided according to the above method example, for example, each functional module may be divided corresponding to each function, or two or more functions may be integrated into one processing module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. Optionally, the division of the modules in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation.
As shown in fig. 4, an apparatus for evaluating cell interference according to an embodiment of the present application is provided. The cell interference evaluation apparatus 400 may include a determination unit 401, an input unit 402, and an evaluation 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 to a preset network model, so as to obtain uplink data when neighboring cell interference exists in a cell to be evaluated and uplink spectrum efficiency when neighboring cell interference exists; the evaluation unit 403 may be configured to obtain interference evaluation information of the cell to be evaluated at different timeslot ratios according to the uplink data and the uplink spectrum efficiency when the neighboring cell interference exists; the input information comprises uplink data when the cell to be evaluated has no adjacent cell interference and spectrum characteristic parameters when the cell to be evaluated has the adjacent cell interference, the uplink data comprises initial transmission packet error rate, a modulation and coding strategy, a signal interference noise ratio and rank indication, and the spectrum characteristic parameters comprise a maximum interference value, a minimum interference value, a middle interference value, a histogram mean value, a histogram standard deviation, histogram smoothness and a histogram entropy. For example, in conjunction with fig. 3, the determination unit 401 may be configured to perform S301, the input unit 402 may be configured to perform S302, and the evaluation unit 403 may be configured to perform S303.
Optionally, in a case that the input information is the spectrum characteristic parameter, the determining unit 401 may be specifically configured to determine a spectrogram of a cell to be evaluated when neighboring cell interference exists, where the spectrogram includes an interference power of the cell to be evaluated when neighboring cell interference exists; and extracting the spectrum characteristic parameters of the spectrogram when the adjacent cell interference exists in the cell to be evaluated.
Optionally, the determining unit 401 may be specifically configured to determine a bottom noise I of the disturbed base station and a receiving gain G of the disturbed base stationrBase station path loss Li(f, t) and the transmission power P of each of the plurality of interfering base stationsiAnd a transmission gain Gt,i(ii) a And under the condition that the interfered base station is in uplink transmission and the plurality of interference base stations are in downlink transmission, determining the interference power of the cell to be evaluated when the cell to be evaluated has adjacent cell interference as follows:
otherwise, determining the interference power as: and I (f, t) ═ I, wherein N is the number of interfering base stations, and I is a positive integer less than or equal to N.
Optionally, with reference to fig. 4, as shown in fig. 5, the cell interference evaluating 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 there is no neighboring cell interference in the test cell, a spectrum characteristic parameter when there is neighboring cell interference, uplink data when there is neighboring cell interference, and uplink spectrum efficiency when there is neighboring cell interference. The training unit 405 may be configured to train to obtain the preset network model by using the uplink data when there is no neighboring cell interference and the spectrum characteristic parameter when there is neighboring cell interference as inputs, and using the uplink spectrum efficiency when there is neighboring cell interference and the uplink data when there is neighboring cell interference as outputs.
Of course, the cell interference evaluation apparatus 400 provided in the embodiment of the present application includes, but is not limited to, the modules described above.
The embodiment of the application provides a cell interference evaluation device, which can obtain uplink data and uplink spectrum efficiency of a cell to be evaluated when neighboring cell interference exists through a preset network model, and obtain interference evaluation information of the cell to be evaluated under different time slot ratios according to the uplink data and the uplink spectrum efficiency, so that a basis can be provided for decision of a flexible frame structure.
The embodiment of the present application further provides a cell interference evaluation apparatus as shown in fig. 6, where the cell interference evaluation apparatus includes 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 evaluation apparatus, and may be a single processor or a collective term for a plurality of processing elements. For example, the processor 11 may be a general-purpose Central Processing Unit (CPU), or may be another general-purpose processor. Wherein a general purpose processor may be a microprocessor or any conventional processor or the like.
For one embodiment, processor 11 may include one or more CPUs, such as CPU 0 and CPU 1 shown in FIG. 6.
The memory 12 may be, but is not limited to, a read-only memory (ROM) or other type of static storage device that may store static information and instructions, a Random Access Memory (RAM) or other type of dynamic storage device that may store information and instructions, an electrically erasable programmable read-only memory (EEPROM), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
In a possible implementation, the memory 12 may be present separately from the processor 11, and the memory 12 may be connected to the processor 11 via a bus 14 for storing instructions or program code. The processor 11 can implement the cell interference evaluation method provided by the embodiment of the present application when it calls and executes the instructions or program codes stored in the memory 12.
In another possible implementation, the memory 12 may also be integrated with the processor 11.
And a communication interface 13 for connecting with other devices through a communication network. The communication network may be an ethernet network, a radio access network, a Wireless Local Area Network (WLAN), or the like. The communication interface 13 may comprise a receiving unit for receiving data and a transmitting unit for transmitting data.
The bus 14 may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 6, but this is not intended to represent only one bus or type of bus.
It is to be noted that the structure shown in fig. 6 does not constitute a limitation of the cell interference evaluation apparatus. The cell interference assessment apparatus may include more or fewer components than shown, or some components may be combined, or a different arrangement of components than shown in fig. 6.
Fig. 7 shows another hardware structure of the cell interference evaluation apparatus in the embodiment of the present application. As shown in fig. 7, the cell interference evaluating apparatus 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 refer to the description of the processor 11 above. 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 evaluation apparatus, or may be an external interface (corresponding to the communication interface 13) of the cell interference evaluation apparatus.
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 combine some components, or a different arrangement of components, in addition to those shown in fig. 6 (or fig. 7).
Embodiments of the present application also provide a computer-readable storage medium, which includes computer-executable instructions. When the computer executes the instructions to run on the computer, the computer is enabled to execute the steps executed by the cell interference evaluation device in the cell interference evaluation method provided by the embodiment.
The embodiments of the present application further provide a computer program product, where the computer program product may be directly loaded into a memory and contains a software code, and after the computer program product is loaded and executed by a computer, the computer program product can implement each step executed by the cell interference evaluation device in the cell interference evaluation method provided in the foregoing embodiments.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented using a software program, 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. The processes or functions according to the embodiments of the present application are generated in whole or in part when the computer-executable instructions are loaded and executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on a computer readable storage medium or transmitted from one computer readable storage medium to another computer readable storage medium, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). Computer-readable storage media can be any available media that can be accessed by a computer or can comprise one or more data storage devices, such as servers, data centers, and the like, that can be integrated with the media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
Through the above description of the embodiments, it is clear to those skilled in the art that, for convenience and simplicity of description, the foregoing division of the functional modules is merely used as an example, and in practical applications, the above function distribution may be completed by different functional modules according to needs, that is, the internal structure of the device may be divided into different functional modules to complete all or part of the above described functions.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described device embodiments are merely illustrative, and for example, the division of the above modules or units is only one logical function division, and there may be other division ways in actual implementation. For example, various elements or components may be combined or may be integrated into another device, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form. Units described as separate parts may or may not be physically separate, and parts displayed as units may be one physical unit or a plurality of physical units, may be located in one place, or may be distributed to a plurality of different places. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit. The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a readable storage medium. Based on such understanding, the technical solutions of the embodiments of the present application may be essentially or partially contributed to by the prior art, or all or part of the technical solutions may be embodied in the form of a software product, where the software product is stored in a storage medium and includes several instructions to enable a device (which may be a single chip, a chip, or the like) or a processor (processor) to execute all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a U disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present application should be covered within 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 (10)
1. A method for cell interference assessment, comprising:
determining input information of a preset network model;
inputting the input information into the preset network model to obtain uplink data when the cell to be evaluated has adjacent cell interference and uplink spectrum efficiency when the cell to be evaluated has adjacent cell interference;
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 interference of the adjacent cell exists;
the input information includes uplink data when the cell to be evaluated has no neighboring cell interference and spectrum characteristic parameters when the cell to be evaluated has the neighboring cell interference, the uplink data includes an initial packet error rate, a modulation and coding strategy, a signal interference noise ratio and a rank indication, and the spectrum characteristic parameters include a maximum interference value, a minimum interference value, a middle interference value, a histogram mean value, a histogram standard deviation, a histogram smoothness and a histogram entropy.
2. The method according to claim 1, wherein in the case that the input information is the spectral feature parameter, the determining input information of a preset network model includes:
determining a frequency spectrum diagram when the neighbor cell interference exists in the cell to be evaluated, wherein the frequency spectrum diagram comprises interference power when the neighbor cell interference exists in the cell to be evaluated;
and extracting the spectrum characteristic parameters of the spectrogram when the adjacent cell interference exists in the cell to be evaluated.
3. The method of claim 2, wherein the determining the spectrogram of the cell to be evaluated with the neighboring cell interference comprises:
determining the bottom noise I of the disturbed base station and the receiving gain G of the disturbed base stationrBase station path loss Li(f, t) and the transmission power P of each of the plurality of interfering base stationsiAnd a transmission gain Gt,i；
And under the condition that the interfered base station is in uplink transmission and the plurality of interference base stations are in downlink transmission, determining the interference power of the cell to be evaluated when the cell to be evaluated has adjacent cell interference as follows:
otherwise, determining the interference power as: and I (f, t) ═ I, wherein N is the number of interfering base stations, and I is a positive integer less than or equal to N.
4. The method for cell interference assessment according to any of claims 1-3, wherein said method further comprises:
acquiring uplink data when no adjacent cell interference exists in a test cell, spectrum characteristic parameters when adjacent cell interference exists, uplink data when adjacent cell interference exists and uplink spectrum efficiency when adjacent cell interference exists;
and training to obtain the preset network model by taking the uplink data when no adjacent cell interference exists and the spectrum characteristic parameter when the adjacent cell interference exists as input and taking the uplink spectrum efficiency when the adjacent cell interference exists and the uplink data when the adjacent cell interference exists as output.
5. An apparatus for cell interference assessment, 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 input unit is used for inputting the input information into the preset network model to obtain uplink data when the cell to be evaluated has adjacent cell interference and uplink spectrum efficiency when the cell to be evaluated has adjacent cell interference;
the evaluation unit is configured to obtain interference evaluation information of the cell to be evaluated at different time slot ratios according to the uplink data and the uplink spectrum efficiency when the neighboring cell interference exists;
the input information includes uplink data when the cell to be evaluated has no neighboring cell interference and spectrum characteristic parameters when the cell to be evaluated has the neighboring cell interference, the uplink data includes an initial packet error rate, a modulation and coding strategy, a signal interference noise ratio and a rank indication, and the spectrum characteristic parameters include a maximum interference value, a minimum interference value, a middle interference value, a histogram mean value, a histogram standard deviation, a histogram smoothness and a histogram entropy.
6. The apparatus according to claim 5, wherein, when the input information is the spectral feature parameter, the determining unit is specifically configured to determine a spectrogram of the cell to be evaluated when neighboring cell interference exists, where the spectrogram includes an interference power of the cell to be evaluated when neighboring cell interference exists; and extracting the spectrum characteristic parameters of the spectrogram when the adjacent cell interference exists in the cell to be evaluated.
7. The cell interference estimation apparatus according to claim 6, wherein the determining unit is specifically configured to determine a base noise I of the disturbed base station and a receiving gain G of the disturbed base stationrBase station path loss Li(f, t) and the transmission power P of each of the plurality of interfering base stationsiAnd a transmission gain Gt,i(ii) a And under the condition that the interfered base station is in uplink transmission and the plurality of interference base stations are in downlink transmission, determining the interference power of the cell to be evaluated when the cell to be evaluated has adjacent cell interference as follows:
otherwise, determining the interference power as: and I (f, t) ═ I, wherein N is the number of interfering base stations, and I is a positive integer less than or equal to N.
8. The cell interference assessment apparatus according to any of claims 5-7, wherein said apparatus further comprises: an acquisition unit and a training unit;
the acquiring unit is used for acquiring uplink data when no adjacent cell interference exists in the test cell, spectrum characteristic parameters when adjacent cell interference exists, uplink data when adjacent cell interference exists and uplink spectrum efficiency when adjacent cell interference exists;
the training unit is configured to train to obtain the preset network model by taking the uplink data when no neighboring cell interference exists and the spectrum characteristic parameter when the neighboring cell interference exists as inputs, and taking the uplink spectrum efficiency when the neighboring cell interference exists and the uplink data when the neighboring cell interference exists as outputs.
9. An apparatus for cell interference assessment, 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 executes the computer-executable instructions stored by the memory when the cell interference assessment apparatus is operating to cause the cell interference assessment apparatus to perform the cell interference assessment method of any of claims 1-4.
10. A computer-readable storage medium comprising computer-executable instructions that, when executed on a computer, cause the computer to perform the cell interference assessment method of any one of claims 1-4.
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