Cell wireless environment complexity evaluation method, device and computing equipment

Abstract

Embodiments of the present invention relate to the field of wireless communications technology and disclose a method, apparatus, and computing device for evaluating cell wireless environment complexity. The method includes: calculating the path loss difference between the inter-frequency coverage of a cell under test and a neighboring cell in a shared sector; calculating the level difference between the cell under test and the neighboring cell in the shared sector based on measurement data; and evaluating the wireless environment complexity of the cell under test based on the path loss difference and the level difference. Through this approach, the embodiments of the present invention can achieve quantitative calculation of wireless environment complexity, which is more practical and novel.

Description

Technical Field

[0001] The embodiments of the present invention relate to the field of wireless communication technology, and in particular to a method, apparatus and computing device for evaluating the complexity of a cell wireless environment. Background Art

[0002] In mobile communications, multipath fading refers to the phenomenon in which wireless signals propagate through space, generating multiple paths to the receiver due to numerous reflections and scattering. While signal energy is constant, multipath fading is inevitable. Signal propagation loss is primarily affected by the wireless environment, and this multipath fading significantly impacts mobile communications coverage. Therefore, when weak signal levels or coverage anomalies are detected in a cell, the cause must be identified. Troubleshooting wireless environment impacts is a crucial daily task.

[0003] There are two main methods for wireless environment identification: one is manual on-site survey of the wireless environment, which achieves qualitative wireless environment judgment and identification by visiting the site and recording the records; the other is to use online real-life maps or satellite maps on map websites to view the wireless environment. This method does not require a visit to the site, but requires manual operation one by one, and conducts wireless environment surveys online through a computer.

[0004] Existing mobile communication optimization efforts primarily rely on manual assessments of wireless environments, which have significant drawbacks: manual on-site surveys are inefficient, time-consuming, and costly. Online real-world maps have limitations; narrow road sections lack online real-world maps, and many maps have outdated data with long update cycles. Online satellite maps can only identify specific scene categories, but cannot provide detailed wireless environment identification. This assessment relies solely on subjective judgment, preventing quantitative evaluation and inherent subjectivity. Summary of the Invention

[0005] In view of the above problems, embodiments of the present invention provide a method, apparatus, and computing device for evaluating the complexity of a cell radio environment, which overcome the above problems or at least partially solve the above problems.

[0006] According to one aspect of an embodiment of the present invention, a method for evaluating the complexity of a cell wireless environment is provided, the method comprising: calculating the path loss difference between the heterofrequency coverage of a cell to be tested and a neighboring cell in a common sector; calculating the level difference between the cell to be tested and the neighboring cell in the heterofrequency co-sector based on measurement data; and evaluating the complexity of the wireless environment of the cell to be tested based on the path loss difference and the level difference.

[0007] In an optional manner, the calculation of the path loss difference between the hetero-frequency coverage of the cell to be tested and the neighboring cell in the co-sector includes: respectively obtaining the path loss of the same path of the cell to be tested and the neighboring cell in the asynchronous co-sector; and calculating the difference in the path loss of the same path of the cell to be tested and the neighboring cell in the hetero-frequency co-sector as the path loss difference.

[0008] In an optional manner, the respectively obtaining of the path losses of the same paths of the cell to be tested and the neighboring cell in the asynchronous co-sector includes: respectively obtaining the path losses Pathloss of the same paths of the cell to be tested and the neighboring cell in the asynchronous co-sector according to the outdoor macrocellular model: Pathloss = 46.3 + 33.9log(f) - 13.82log(Hb) - a(Hm) + (44.9 - 6.55log(Hb))log(d) + Cm, wherein f represents the operating carrier frequency of the system, Hb is the base station height, H is the terminal antenna correction factor, d is the distance between the terminal and the base station, and Cm is the city correction factor.

[0009] In an optional manner, the calculating the level difference between the cell to be tested and the neighboring cell in the hetero-frequency co-sector according to the measurement data includes: obtaining the first reference signal received power of the cell to be tested and the second reference signal received power of the neighboring cell in the hetero-frequency co-sector according to the measurement data respectively; and calculating the difference between the first reference signal received power and the second reference signal received power of each sampling point of the hetero-frequency co-sector in the measurement data as the level difference between the cell to be tested and the neighboring cell in the hetero-frequency co-sector.

[0010] In an optional manner, the measurement data is original measurement data or swept frequency data.

[0011] In an optional manner, the evaluating the wireless environment complexity of the cell to be tested based on the path loss difference and the level difference includes: counting the total number of sampling points of different frequencies and co-sectors in the measurement data; counting the number of sampling points where the absolute value of the difference between the level difference and the path loss difference is greater than a preset threshold; and evaluating the wireless environment complexity of the cell to be tested based on the total number of sampling points and the number of sampling points.

[0012] In an optional manner, the evaluating the wireless environment complexity of the cell to be measured based on the total number of sampling points and the number of sampling points includes: calculating the wireless environment complexity C of the cell to be measured based on the total number of sampling points N and the number of sampling points M: C=M / N.

[0013] According to another aspect of an embodiment of the present invention, a cell wireless environment complexity assessment device is provided, the device comprising: a first difference calculation unit, used to calculate the path loss difference of the hetero-frequency coverage of the cell to be tested and the neighboring cell in the same sector; a second difference calculation unit, used to calculate the level difference between the cell to be tested and the neighboring cell in the hetero-frequency co-sector based on measurement data; and a complexity assessment unit, used to assess the wireless environment complexity of the cell to be tested based on the path loss difference and the level difference.

[0014] According to another aspect of an embodiment of the present invention, there is provided a computing device, comprising: a processor, a memory, a communication interface, and a communication bus, wherein the processor, the memory, and the communication interface communicate with each other via the communication bus;

[0015] The memory is used to store at least one executable instruction, and the executable instruction enables the processor to execute the steps of the above-mentioned cell radio environment complexity assessment method.

[0016] According to another aspect of an embodiment of the present invention, a computer storage medium is provided, wherein the storage medium stores at least one executable instruction, and the executable instruction enables the processor to execute the steps of the above-mentioned method for evaluating the complexity of a cell radio environment.

[0017] The embodiment of the present invention calculates the path loss difference of the hetero-frequency coverage of the cell to be tested and the neighboring cell in the co-sector; calculates the level difference between the cell to be tested and the neighboring cell in the hetero-frequency co-sector based on the measurement data; and evaluates the wireless environment complexity of the cell to be tested based on the path loss difference and the level difference, thereby realizing the quantitative calculation of the wireless environment complexity and having greater practical value and novelty.

[0018] The above description is only an overview of the technical solutions of the embodiments of the present invention. In order to more clearly understand the technical means of the embodiments of the present invention, they can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the embodiments of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are specifically listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Various other advantages and benefits will become apparent to those skilled in the art upon reading the detailed description of the preferred embodiment below. The accompanying drawings are for illustration purposes only and are not to be considered as limiting the present invention. The same reference symbols are used throughout the drawings to represent the same components. In the drawings:

[0020] Figure 1 A schematic diagram showing a flow chart of a method for evaluating the complexity of a cell radio environment provided by an embodiment of the present invention is shown;

[0021] Figure 2It shows a schematic structural diagram of a cell radio environment complexity assessment device provided by an embodiment of the present invention;

[0022] Figure 3 A schematic structural diagram of a computing device provided by an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0023] Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present invention and to fully convey the scope of the present invention to those skilled in the art.

[0024] Figure 1 FIG2 shows a flow chart of a method for evaluating the complexity of a cell wireless environment provided by an embodiment of the present invention. The method for evaluating the complexity of a cell wireless environment is applied to a server side, such as Figure 1 As shown, the cell radio environment complexity evaluation method includes:

[0025] Step S11: Calculate the path loss difference between the cell to be measured and the neighboring cell in the same sector with different frequency coverage.

[0026] In an embodiment of the present invention, the path losses of the same path of the cell to be tested and the neighboring cell in asynchronous co-sector are respectively obtained; and the difference of the path losses of the same path of the cell to be tested and the neighboring cell in heterofrequency co-sector is calculated as the path loss difference.

[0027] Specifically, the path loss of the same path between the cell to be tested and the neighboring cell in the asynchronous co-sector can be obtained based on the outdoor macrocellular model. The outdoor macrocellular model commonly used in network planning is the COST231-Hata propagation model, and its typical general form is as follows:

[0028] Pathloss = 46.3 + 33.9log(f) - 13.82log(Hb) - a(Hm) + (44.9 - 6.55log(Hb))log(d) + Cm, where f represents the system's operating carrier frequency, Hb is the base station height, H is the terminal antenna correction factor, d is the distance between the terminal and the base station, and Cm is the city correction factor.

[0029] When measuring in the same sector and at the same terminal, with two identical transmission paths, the above formula is simplified to only factor in frequency. From this formula, we can calculate that when using the D-band, the path loss is 4.62dB higher than that of the F-band.

[0030] When the terminal measures the levels of two cells in the same sector at the same location and the paths connecting the terminal to the two cells of the base station are the same, the level difference k is a constant value.

[0031] Step S12: Calculate the level difference between the cell to be measured and the neighboring cell in the hetero-frequency co-sector according to the measurement data.

[0032] In this embodiment of the present invention, the measurement data is raw measurement data or frequency sweep data. As shown in Table 1 below, the raw measurement data (MRO) reports the level of the primary cell. When inter-frequency measurement is enabled, the neighboring cells report the levels of inter-frequency cells in the same sector. The cells are represented by their Physical Cell Identifier (PCI), and the cell levels are represented by their Reference Signal Received Power (RSRP).

[0033] Table 1 MRO data

[0034]

[0035] The format of the frequency sweep data can also refer to the format of the above data.

[0036] In step S12, a first reference signal received power (RSRSP) of the cell under test and a second reference signal received power (RSRSP) of a neighboring cell in the inter-frequency co-sector are obtained based on the measurement data. A difference between the first reference signal received power (RSRSP) and the second reference signal received power (RSRSP) at each sampling point in the inter-frequency co-sector in the measurement data is calculated as the level difference between the cell under test and the neighboring cell in the inter-frequency co-sector. That is, the level difference K = RSRP1 - RSRP.

[0037] Step S13: Evaluate the complexity of the radio environment of the cell to be measured according to the path loss difference and the level difference.

[0038] In this embodiment of the present invention, when the wireless environment within a cell is complex, even though the terminal's location is fixed, the higher the probability that signals from two sectors are transmitted via different paths, the more likely these different paths are to be reflected in the terminal's power level. This fluctuation in the power level difference between the two cells is theoretically constant when the connection between the two cells is transmitted via the same path. Therefore, the power level fluctuations between the two cells can be used to reflect the complexity of the cell's wireless environment. The two cells are the primary cell to be tested and its corresponding neighboring cell.

[0039] In step S13, the total number of sampling points in the measured data for inter-frequency co-sectored areas is counted; the number of sampling points where the absolute value of the difference between the level difference and the path loss difference is greater than a preset threshold is counted; and the wireless environment complexity of the cell under test is evaluated based on the total number of sampling points and the number of sampling points. Preferably, the preset threshold is 6, the number of sampling points where the difference |Kk| between the level difference K and the path loss difference k corresponding to each sampling point is greater than 6 is denoted as M, and the total number of sampling points is denoted as N. The wireless environment complexity C of the cell under test is then calculated based on the total number of sampling points N and the number of sampling points M: C = M / N. A larger value of the wireless environment complexity C indicates a higher probability of multipath transmission in the cell and a more complex wireless environment in the cell. A complexity threshold can be set; when the calculated wireless environment complexity C is greater than the complexity threshold, the cell's wireless communication environment complexity is determined to be high. The embodiment of the present invention uses the propagation loss characteristics of different frequencies and the impact of multipath transmission characteristics on the coverage level between two receiving and transmitting points of the communication network to obtain a fixed frequency band loss difference calculation through frequency sweeping data or MRO data. The difference fluctuation at the sampling point level is analyzed through massive MRO data or frequency sweeping data. When the proportion of difference fluctuations above a certain threshold is higher than a certain threshold, it is considered that the complexity of the wireless communication environment of the cell is high. The embodiment of the present invention is based on the MRO data reported by the terminal or the massive frequency sweeping data already in the network optimization, the data source samples are sufficient, and the data acquisition difficulty is low. At the same time, the wireless environment complexity assessment method based on multipath transmission of frequency difference is simple, fast and convenient, and the idea is cleverly designed. Compared with the existing method that can only rely on subjective judgment, this method can realize the quantitative calculation of wireless environment complexity, which is more practical and novel.

[0040] In an embodiment of the present invention, based on MRO data or frequency sweep data commonly used in network optimization, information on the coverage level of inter-frequency cells in a co-sector is obtained by using data from the MRO data indicating inter-frequency measurement of cells, or by automatically measuring the coverage level of inter-frequency cells using frequency sweep equipment. By comparing the difference data of the cell levels of different frequencies in the co-site and co-sector, the fluctuation of this difference data can be used to determine the complexity of multipath transmission between the base station and the terminal at the sampling point. The complexity of multipath transmission directly affects the fluctuation of this difference value. This method can generate massive amounts of coverage difference data at the sampling point level. The method is simple to apply, fast and efficient, and highly targeted and practical. It utilizes information-based data to achieve automated and intelligent wireless environment identification, presenting it in a quantitative form to more accurately and intuitively reflect the complexity of the current wireless environment. This method is simple and efficient, achieving a quantitative assessment of wireless environment complexity and avoiding subjective judgment.

[0041] The embodiment of the present invention calculates the path loss difference of the hetero-frequency coverage of the cell to be tested and the neighboring cell in the co-sector; calculates the level difference between the cell to be tested and the neighboring cell in the hetero-frequency co-sector based on the measurement data; and evaluates the wireless environment complexity of the cell to be tested based on the path loss difference and the level difference, thereby realizing the quantitative calculation of the wireless environment complexity and having greater practical value and novelty.

[0042] Figure 2 FIG. 1 shows a schematic diagram of the structure of a cell radio environment complexity assessment device according to an embodiment of the present invention. Figure 2 As shown, the cell radio environment complexity evaluation device includes: a first difference calculation unit 201, a second difference calculation unit 202 and a complexity evaluation unit 203.

[0043] The first difference calculation unit 201 is used to calculate the path loss difference of the heterofrequency coverage of the cell to be tested and the neighboring cell in the co-sector; the second difference calculation unit 202 is used to calculate the level difference between the cell to be tested and the neighboring cell in the heterofrequency co-sector based on the measurement data; the complexity evaluation unit 203 is used to evaluate the wireless environment complexity of the cell to be tested based on the path loss difference and the level difference.

[0044] In an optional manner, the first difference calculation unit 201 is used to: respectively obtain the path loss of the same path of the cell to be tested and the neighboring cell in the asynchronous co-sector; and calculate the difference in the path loss of the same path of the cell to be tested and the neighboring cell in the hetero-frequency co-sector as the path loss difference.

[0045] In an optional manner, the first difference calculation unit 201 is configured to: obtain, according to an outdoor macrocell model, the path loss of the same path between the cell to be measured and the neighboring cell in the asynchronous co-sector:

[0046] Pathloss = 46.3 + 33.9log(f) - 13.82log(Hb) - a(Hm) + (44.9 - 6.55log(Hb))log(d) + Cm, where f represents the system's operating carrier frequency, Hb is the base station height, H is the terminal antenna correction factor, d is the distance between the terminal and the base station, and Cm is the city correction factor.

[0047] In an optional manner, the second difference calculation unit 202 is used to: obtain the first reference signal received power of the cell to be measured and the second reference signal received power of the neighboring cell in the hetero-frequency co-sector according to the measurement data; calculate the difference between the first reference signal received power and the second reference signal received power of each sampling point of the hetero-frequency co-sector in the measurement data as the level difference between the cell to be measured and the neighboring cell in the hetero-frequency co-sector.

[0048] In an optional manner, the measurement data is original measurement data or swept frequency data.

[0049] In an optional manner, the complexity evaluation unit 203 is used to: count the total number of sampling points of different frequencies and co-sectors in the measurement data; count the number of sampling points where the absolute value of the difference between the level difference and the path loss difference is greater than a preset threshold; and evaluate the wireless environment complexity of the cell to be measured based on the total number of sampling points and the number of sampling points.

[0050] In an optional manner, the complexity evaluation unit 203 is configured to calculate the radio environment complexity C of the cell to be measured according to the total number N of sampling points and the number M of sampling points: C=M / N.

[0051] The embodiment of the present invention calculates the path loss difference of the hetero-frequency coverage of the cell to be tested and the neighboring cell in the co-sector; calculates the level difference between the cell to be tested and the neighboring cell in the hetero-frequency co-sector based on the measurement data; and evaluates the wireless environment complexity of the cell to be tested based on the path loss difference and the level difference, thereby realizing the quantitative calculation of the wireless environment complexity and having greater practical value and novelty.

[0052] An embodiment of the present invention provides a non-volatile computer storage medium, wherein the computer storage medium stores at least one executable instruction, and the computer executable instruction can execute the cell radio environment complexity assessment method in any of the above method embodiments.

[0053] The executable instructions can be used to cause the processor to perform the following operations:

[0054] Calculate the path loss difference between the cell to be tested and the adjacent cell with different frequency coverage in the same sector;

[0055] Calculate the level difference between the cell to be measured and the neighboring cell in the heterogeneous frequency and co-sector according to the measurement data;

[0056] The complexity of the radio environment of the cell to be measured is evaluated according to the path loss difference and the level difference.

[0057] In an optional manner, the executable instruction causes the processor to perform the following operations:

[0058] Respectively obtaining path losses of the same path of the cell to be measured and the neighboring cell in the asynchronous co-sector;

[0059] The difference between the path losses of the cell to be measured and the neighboring cell of the hetero-frequency co-sector on the same path is calculated as the path loss difference.

[0060] In an optional manner, the executable instruction causes the processor to perform the following operations:

[0061] According to the outdoor macrocellular model, the path loss of the same path between the cell to be tested and the neighboring cell in the asynchronous co-sector is obtained respectively:

[0062] Pathloss = 46.3 + 33.9log(f) - 13.82log(Hb) - a(Hm) + (44.9 - 6.55log(Hb))log(d) + Cm, where f represents the system's operating carrier frequency, Hb is the base station height, H is the terminal antenna correction factor, d is the distance between the terminal and the base station, and Cm is the city correction factor.

[0063] In an optional manner, the executable instruction causes the processor to perform the following operations:

[0064] respectively acquiring a first reference signal received power of the cell to be measured and a second reference signal received power of a neighboring cell in an inter-frequency co-sector according to the measurement data;

[0065] The difference between the first reference signal received power and the second reference signal received power at each sampling point of the inter-frequency co-sector in the measurement data is calculated as the level difference between the cell to be measured and the neighboring cell of the inter-frequency co-sector.

[0066] In an optional manner, the measurement data is original measurement data or swept frequency data.

[0067] In an optional manner, the executable instruction causes the processor to perform the following operations:

[0068] Counting the total number of sampling points of different frequencies and the same sector in the measurement data;

[0069] Counting the number of sampling points at which the absolute value of the difference between the level difference and the path loss difference is greater than a preset threshold;

[0070] The complexity of the radio environment of the cell to be measured is evaluated according to the total number of sampling points and the number of sampling points.

[0071] In an optional manner, the executable instruction causes the processor to perform the following operations:

[0072] The radio environment complexity C of the cell to be measured is calculated according to the total number N of sampling points and the number M of sampling points: C=M / N.

[0073] The embodiment of the present invention calculates the path loss difference of the hetero-frequency coverage of the cell to be tested and the neighboring cell in the co-sector; calculates the level difference between the cell to be tested and the neighboring cell in the hetero-frequency co-sector based on the measurement data; and evaluates the wireless environment complexity of the cell to be tested based on the path loss difference and the level difference, thereby realizing the quantitative calculation of the wireless environment complexity and having greater practical value and novelty.

[0074] An embodiment of the present invention provides a computer program product, which includes a computer program stored on a computer storage medium, and the computer program includes program instructions. When the program instructions are executed by a computer, the computer executes the cell wireless environment complexity assessment method in any of the above method embodiments.

[0075] The executable instructions can be used to cause the processor to perform the following operations:

[0076] Calculate the path loss difference between the cell to be tested and the adjacent cell with different frequency coverage in the same sector;

[0077] Calculate the level difference between the cell to be measured and the neighboring cell in the heterogeneous frequency and co-sector according to the measurement data;

[0078] The complexity of the radio environment of the cell to be measured is evaluated according to the path loss difference and the level difference.

[0079] In an optional manner, the executable instruction causes the processor to perform the following operations:

[0080] Respectively obtaining path losses of the same path of the cell to be measured and the neighboring cell in the asynchronous co-sector;

[0081] The difference between the path losses of the cell to be measured and the neighboring cell of the hetero-frequency co-sector on the same path is calculated as the path loss difference.

[0082] In an optional manner, the executable instruction causes the processor to perform the following operations:

[0083] According to the outdoor macrocellular model, the path loss of the same path between the cell to be tested and the neighboring cell in the asynchronous co-sector is obtained respectively:

[0084] Pathloss = 46.3 + 33.9log(f) - 13.82log(Hb) - a(Hm) + (44.9 - 6.55log(Hb))log(d) + Cm, where f represents the system's operating carrier frequency, Hb is the base station height, H is the terminal antenna correction factor, d is the distance between the terminal and the base station, and Cm is the city correction factor.

[0085] In an optional manner, the executable instruction causes the processor to perform the following operations:

[0086] respectively acquiring a first reference signal received power of the cell to be measured and a second reference signal received power of a neighboring cell in an inter-frequency co-sector according to the measurement data;

[0087] The difference between the first reference signal received power and the second reference signal received power at each sampling point of the inter-frequency co-sector in the measurement data is calculated as the level difference between the cell to be measured and the neighboring cell of the inter-frequency co-sector.

[0088] In an optional manner, the measurement data is original measurement data or swept frequency data.

[0089] In an optional manner, the executable instruction causes the processor to perform the following operations:

[0090] Counting the total number of sampling points of different frequencies and the same sector in the measurement data;

[0091] Counting the number of sampling points at which the absolute value of the difference between the level difference and the path loss difference is greater than a preset threshold;

[0092] The complexity of the radio environment of the cell to be measured is evaluated according to the total number of sampling points and the number of sampling points.

[0093] In an optional manner, the executable instruction causes the processor to perform the following operations:

[0094] The radio environment complexity C of the cell to be measured is calculated according to the total number N of sampling points and the number M of sampling points: C=M / N.

[0095] The embodiment of the present invention calculates the path loss difference of the hetero-frequency coverage of the cell to be tested and the neighboring cell in the co-sector; calculates the level difference between the cell to be tested and the neighboring cell in the hetero-frequency co-sector based on the measurement data; and evaluates the wireless environment complexity of the cell to be tested based on the path loss difference and the level difference, thereby realizing the quantitative calculation of the wireless environment complexity and having greater practical value and novelty.

[0096] Figure 3 The schematic diagram of the structure of the computing device provided by the embodiment of the present invention is shown. The specific embodiment of the present invention does not limit the specific implementation of the device.

[0097] like Figure 3 As shown, the computing device may include: a processor 302 , a communications interface 304 , a memory 306 , and a communication bus 308 .

[0098] Processor 302, communication interface 304, and memory 306 communicate with each other via communication bus 308. Communication interface 304 is used to communicate with other devices, such as clients or other server network elements. Processor 302 is used to execute program 310, which may specifically perform the steps described in the aforementioned embodiment of the method for assessing cell radio environment complexity.

[0099] Specifically, the program 310 may include program codes, which include computer operation instructions.

[0100] Processor 302 may be a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement an embodiment of the present invention. The one or more processors included in the device may be processors of the same type, such as one or more CPUs, or may be processors of different types, such as one or more CPUs and one or more ASICs.

[0101] The memory 306 is used to store the program 310. The memory 306 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0102] The program 310 may be specifically configured to cause the processor 302 to perform the following operations:

[0103] Calculate the path loss difference between the cell to be tested and the adjacent cell with different frequency coverage in the same sector;

[0104] Calculate the level difference between the cell to be measured and the neighboring cell in the heterogeneous frequency and co-sector according to the measurement data;

[0105] The complexity of the radio environment of the cell to be measured is evaluated according to the path loss difference and the level difference.

[0106] In an optional manner, the program 310 enables the processor to perform the following operations:

[0107] Respectively obtaining path losses of the same path of the cell to be measured and the neighboring cell in the asynchronous co-sector;

[0108] The difference between the path losses of the cell to be measured and the neighboring cell of the hetero-frequency co-sector on the same path is calculated as the path loss difference.

[0109] In an optional manner, the program 310 enables the processor to perform the following operations:

[0110] According to the outdoor macrocellular model, the path loss of the same path between the cell to be tested and the neighboring cell in the asynchronous co-sector is obtained respectively:

[0111] Pathloss = 46.3 + 33.9log(f) - 13.82log(Hb) - a(Hm) + (44.9 - 6.55log(Hb))log(d) + Cm, where f represents the system's operating carrier frequency, Hb is the base station height, H is the terminal antenna correction factor, d is the distance between the terminal and the base station, and Cm is the city correction factor.

[0112] In an optional manner, the program 310 enables the processor to perform the following operations:

[0113] respectively acquiring a first reference signal received power of the cell to be measured and a second reference signal received power of a neighboring cell in an inter-frequency co-sector according to the measurement data;

[0114] The difference between the first reference signal received power and the second reference signal received power at each sampling point of the inter-frequency co-sector in the measurement data is calculated as the level difference between the cell to be measured and the neighboring cell of the inter-frequency co-sector.

[0115] In an optional manner, the measurement data is original measurement data or swept frequency data.

[0116] In an optional manner, the program 310 enables the processor to perform the following operations:

[0117] Counting the total number of sampling points of different frequencies and the same sector in the measurement data;

[0118] Counting the number of sampling points at which the absolute value of the difference between the level difference and the path loss difference is greater than a preset threshold;

[0119] The complexity of the radio environment of the cell to be measured is evaluated according to the total number of sampling points and the number of sampling points.

[0120] In an optional manner, the program 310 enables the processor to perform the following operations:

[0121] The radio environment complexity C of the cell to be measured is calculated according to the total number N of sampling points and the number M of sampling points: C=M / N.

[0122] The embodiment of the present invention calculates the path loss difference of the hetero-frequency coverage of the cell to be tested and the neighboring cell in the co-sector; calculates the level difference between the cell to be tested and the neighboring cell in the hetero-frequency co-sector based on the measurement data; and evaluates the wireless environment complexity of the cell to be tested based on the path loss difference and the level difference, thereby realizing the quantitative calculation of the wireless environment complexity and having greater practical value and novelty.

[0123] The algorithm or demonstration provided herein are not inherently relevant to any particular computer, virtual system or other equipment. Various general-purpose systems may also be used together with the teachings based on this. According to the above description, it is apparent that the structure required for constructing this type of system. In addition, the embodiment of the present invention is not directed to any specific programming language yet. It should be understood that various programming languages ​​can be utilized to realize the content of the present invention described herein, and the above description of specific languages ​​is for the purpose of disclosing the best mode of the present invention.

[0124] In the description provided herein, numerous specific details are described. However, it is understood that embodiments of the present invention may be practiced without these specific details. In some instances, well-known methods, structures, and techniques are not shown in detail so as not to obscure the understanding of this description.

[0125] Similarly, it should be understood that in order to streamline the present invention and facilitate understanding of one or more of the various inventive aspects, in the above description of exemplary embodiments of the present invention, various features of the embodiments of the present invention are sometimes grouped together into a single embodiment, figure, or description thereof. However, this method of disclosure should not be interpreted as reflecting an intention that the claimed invention requires more features than are expressly recited in each claim.

[0126] Those skilled in the art will appreciate that the modules in the devices in the embodiments may be adaptively changed and arranged in one or more devices different from the embodiments. The modules or units or components in the embodiments may be combined into one module or unit or component, and in addition may be divided into multiple submodules or subunits or subcomponents. All features disclosed in this specification (including the accompanying claims, abstracts and drawings) and all processes or units of any method or device disclosed herein may be combined in any combination, except that at least some of such features and / or processes or units are mutually exclusive. Unless expressly stated otherwise, each feature disclosed in this specification (including the accompanying claims, abstracts and drawings) may be replaced by an alternative feature providing the same, equivalent or similar purpose.

[0127] It should be noted that the above embodiments illustrate rather than limit the invention, and that alternative embodiments may be devised by a person skilled in the art without departing from the scope of the appended claims. In the claims, any reference signs placed between brackets should not be construed as limiting the claims. The word "comprising" does not exclude the presence of elements or steps not listed in the claims. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The present invention may be implemented by means of hardware comprising several different elements and by means of appropriately programmed computers. In a unit claim enumerating several means, several of these means may be embodied by the same item of hardware. The use of the words first, second, and third etc. does not indicate any order. These words may be interpreted as names. The steps in the above embodiments should not be understood as limiting the order of execution unless otherwise specified.

Claims

1. A method for evaluating the complexity of a cell wireless environment, characterized in that: The method comprises: Respectively obtaining the path losses of the same path of the cell to be tested and the neighboring cell in the asynchronous co-sector; calculating the difference between the path losses of the same path of the cell to be tested and the neighboring cell in the hetero-frequency co-sector as the path loss difference; Obtaining, according to the measurement data, a first reference signal received power of the cell to be measured and a second reference signal received power of a neighboring cell in the inter-frequency co-sector, respectively; calculating a difference between the first reference signal received power and the second reference signal received power at each sampling point in the inter-frequency co-sector in the measurement data as a level difference between the cell to be measured and the neighboring cell in the inter-frequency co-sector; Counting the total number of sampling points of different frequencies and co-sectors in the measurement data; counting the number of sampling points at which the absolute value of the difference between the level difference and the path loss difference is greater than a preset threshold; and evaluating the complexity of the wireless environment of the cell to be measured based on the total number of sampling points and the number of sampling points.

2. The method according to claim 1, characterized in that The obtaining of the path losses of the same path of the cell to be measured and the neighboring cell in the asynchronous co-sector respectively includes: According to the outdoor macrocellular model, the path loss of the same path between the cell to be tested and the neighboring cell in the asynchronous co-sector is obtained respectively: Pathloss=46.3+33.9log(f)-13.82log(Hb)-a(Hm)+(44.9-6.55log(Hb))log(d)+Cm, where f represents the system's operating carrier frequency, Hb is the base station height, H is the terminal antenna correction factor, d is the distance between the terminal and the base station, and Cm is the city correction factor.

3. The method according to claim 1, characterized in that The measurement data is original measurement data or frequency sweep data.

4. The method according to claim 1, wherein The evaluating the complexity of the radio environment of the cell to be measured according to the total number of sampling points and the number of sampling points includes: The wireless environment complexity C of the cell to be measured is calculated according to the total number N of sampling points and the number M of sampling points: C=M / N.

5. A cell wireless environment complexity assessment device, characterized in that: The device comprises: A first difference calculation unit is configured to respectively obtain the path losses of the same path of the cell to be tested and the neighboring cell in the asynchronous co-sector; and calculate the difference of the path losses of the same path of the cell to be tested and the neighboring cell in the hetero-frequency co-sector as the path loss difference; a second difference calculation unit, configured to obtain, according to the measurement data, a first reference signal received power of the cell to be measured and a second reference signal received power of a neighboring cell in the inter-frequency co-sector; and calculate a difference between the first reference signal received power and the second reference signal received power of each sampling point in the inter-frequency co-sector in the measurement data as a level difference between the cell to be measured and the neighboring cell in the inter-frequency co-sector; A complexity evaluation unit is used to count the total number of sampling points of different frequencies and co-sectors in the measurement data; count the number of sampling points at which the absolute value of the difference between the level difference and the path loss difference is greater than a preset threshold; and evaluate the complexity of the wireless environment of the cell to be measured based on the total number of sampling points and the number of sampling points.

6. A computing device, characterized in that include: A processor, a memory, a communication interface, and a communication bus, wherein the processor, the memory, and the communication interface communicate with each other via the communication bus; The memory is used to store at least one executable instruction, and the executable instruction enables the processor to execute the steps of the cell radio environment complexity assessment method according to any one of claims 1-4.

7. A computer storage medium, characterized in that The storage medium stores at least one executable instruction, and the executable instruction enables the processor to execute the steps of the method for evaluating the complexity of a cell radio environment according to any one of claims 1 to 4.

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