Evaluation method and device for indoor 5G coverage and program instruction

Abstract

The invention discloses an evaluation method and device for indoor 5G coverage and a program instruction, and the method comprises the steps: obtaining outdoor 5G coverage data and indoor 4G coverage data, and predicting the indoor 5G coverage data of each piece of indoor 4G coverage data; and according to the indoor and outdoor 5G coverage data, determining a data proportion and a performance attenuation proportion of each interference isolation degree. And determining an indoor 5G coverage evaluation result according to the indoor 5G coverage data proportion and the indoor 5G performance attenuation proportion. According to the technical scheme provided by the invention, the prediction of the indoor 5G coverage data can be realized based on the indoor 4G coverage data, the performance attenuation influence degree of the indoor 5G signals with different isolation degrees can be accurately determined, the influence of same-frequency interference is fully considered, the accuracy and practicability of the 5G indoor coverage evaluation result are remarkably improved, and the user experience is improved. And comprehensive evaluation can be carried out from dimensions such as business demand quantity of the building, so that the 5G indoor coverage evaluation efficiency is remarkably improved.

Description

Technical Field

[0001] This application belongs to the field of signal communication, and in particular relates to an evaluation method, device and program instructions for indoor 5G coverage. Background Technology

[0002] Fifth-generation mobile communication technology (5G) is a new generation of broadband mobile communication technology characterized by high speed, low latency, and massive connectivity. Compared to fourth-generation mobile communication technology (4G), 5G technology offers higher data transmission rates and lower signal transmission latency, providing users with a better communication experience.

[0003] Achieving 5G signal coverage inside buildings is crucial for improving network communication speed and quality. However, currently, good indoor 5G signal coverage cannot be fully achieved using outdoor 5G base stations, necessitating the construction of indoor 5G base stations for some buildings. To better assess the necessity of constructing indoor 5G base stations, it is necessary to conduct preliminary testing and evaluation of indoor 5G coverage. Currently, how to efficiently, accurately, and reasonably assess indoor 5G signal coverage in buildings is a critical issue that urgently needs to be addressed.

[0004] Currently, traditional methods for assessing the value of indoor 5G coverage mainly involve manually conducting signal traversal tests inside buildings using handheld testing terminals, and then evaluating the indoor 5G coverage based on the test data. This method requires significant manpower and time, severely impacting the efficiency of indoor 5G coverage assessment, and is also susceptible to subjective factors, making it impossible to guarantee the accuracy of the final assessment results. Another method involves using Measurement Reports (MR) and algorithms such as triangulation to assess the effectiveness of 5G indoor coverage. However, this method suffers from limited positioning accuracy, resulting in poor accuracy. Furthermore, the above assessment methods only consider one aspect of 5G coverage, neglecting the impact of co-channel interference between indoor and outdoor environments, as well as the demands posed by the size of the building's interior, thus failing to ensure that the assessment results reflect actual network requirements and affecting the normal coverage of indoor 5G signals. Summary of the Invention

[0005] This application provides a method, apparatus, and program instructions for evaluating indoor 5G coverage, which can efficiently and accurately evaluate the indoor 5G signal coverage of buildings.

[0006] In a first aspect, embodiments of this application provide a method for evaluating indoor 5G coverage, including: Acquire multiple outdoor 5G coverage data and multiple indoor 4G coverage data of the target indoor cell; Based on indoor 5G parameters and multiple indoor 4G coverage data, predict the indoor 5G coverage data corresponding to each indoor 4G coverage data. Based on multiple outdoor 5G coverage data and multiple indoor 5G coverage data, multiple interference isolation levels and the proportion of indoor 5G coverage data corresponding to each interference isolation level are determined. Based on the data transmission rate under 5G indoor and outdoor co-frequency interference with multiple interference isolation levels, determine the indoor 5G performance attenuation ratio corresponding to each interference isolation level; Based on the proportion of indoor 5G coverage data corresponding to multiple interference isolation levels and the proportion of indoor 5G performance attenuation, the indoor 5G coverage evaluation results corresponding to the target indoor cell are determined.

[0007] Secondly, embodiments of this application provide an evaluation device for indoor 5G coverage, comprising: The data acquisition module is used to acquire multiple outdoor 5G coverage data and multiple indoor 4G coverage data of the target indoor cell; The data prediction module is used to predict the indoor 5G coverage data corresponding to each indoor 4G coverage data based on indoor 5G parameters and multiple indoor 4G coverage data. The isolation degree determination module is used to determine multiple interference isolation degrees and the proportion of indoor 5G coverage data corresponding to each interference isolation degree based on multiple outdoor 5G coverage data and multiple indoor 5G coverage data. The performance degradation determination module is used to determine the indoor 5G performance degradation ratio corresponding to each interference isolation degree based on the data transmission rate under 5G indoor and outdoor co-frequency interference with multiple interference isolation degrees. The coverage evaluation module is used to determine the indoor 5G coverage evaluation result of the target indoor cell based on the proportion of indoor 5G coverage data corresponding to multiple interference isolation levels and the proportion of indoor 5G performance attenuation.

[0008] Thirdly, embodiments of this application provide a terminal device, the device including: a processor and a memory storing computer program instructions; When the processor executes computer program instructions, it implements the evaluation method for indoor 5G coverage as described in the first aspect.

[0009] Fourthly, embodiments of this application provide a computer storage medium storing computer program instructions, which, when executed by a processor, implement the evaluation method for indoor 5G coverage as described in the first aspect.

[0010] Fifthly, embodiments of this application provide a computer program product in which instructions, when executed by a processor of an electronic device, cause the electronic device to perform the evaluation method for indoor 5G coverage as described in the first aspect.

[0011] The technical solutions provided by the embodiments of this application bring at least the following beneficial effects: This application provides a method for evaluating indoor 5G coverage, comprising: acquiring multiple outdoor 5G coverage data and multiple indoor 4G coverage data for a target indoor cell; predicting the indoor 5G coverage data corresponding to each indoor 4G coverage data based on indoor 5G parameters; then determining multiple interference isolation levels and the proportion of indoor 5G coverage data at each interference isolation level based on the indoor and outdoor 5G coverage data; determining the performance attenuation ratio of indoor 5G signal coverage at each interference isolation level; and finally, conducting an indoor 5G coverage evaluation for the target indoor cell based on the proportion of indoor 5G coverage data corresponding to the multiple interference isolation levels and the indoor 5G performance attenuation ratio, and determining the corresponding indoor 5G coverage evaluation result.

[0012] The technical solution provided in this application can accurately predict indoor 5G coverage data based on indoor 4G coverage data. Furthermore, the technical solution can accurately determine the impact of indoor and outdoor co-channel interference on the performance attenuation of indoor 5G signals under different isolation levels, allowing the evaluation process to fully consider the impact of co-channel interference and significantly improving the accuracy and practicality of 5G indoor coverage evaluation results. The evaluation process can also be comprehensively evaluated from dimensions such as the building's service demand, resulting in a significant improvement in both efficiency and accuracy compared to traditional methods for 5G indoor coverage evaluation.

[0013] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and do not limit this application. Attached Figure Description

[0014] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments of this application will be briefly introduced below. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0015] Figure 1 A flowchart illustrating an evaluation method for indoor 5G coverage provided in one embodiment of this application; Figure 2 A schematic diagram illustrating the process of determining indoor 5G coverage evaluation results according to an embodiment of this application; Figure 3 A flowchart illustrating an evaluation method for indoor 5G coverage provided in one embodiment of this application; Figure 4 A schematic diagram of the structure of an evaluation device for indoor 5G coverage provided in another embodiment of this application; Figure 5 This is a schematic diagram of the hardware structure of a terminal device provided in another embodiment of this application. Detailed Implementation

[0016] The features and exemplary embodiments of various aspects of this application will be described in detail below. To make the objectives, technical solutions, and advantages of this application clearer, the application will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only intended to explain this application and not to limit it. For those skilled in the art, this application can be implemented without some of these specific details. The following description of the embodiments is merely to provide a better understanding of this application by illustrating examples.

[0017] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising..." does not exclude the presence of additional identical elements in the process, method, article, or apparatus that includes the element.

[0018] Fifth-generation mobile communication technology (5G), as a new generation of broadband mobile communication technology, possesses the core characteristics of high speed, low latency, and massive connectivity. Achieving high-quality 5G signal coverage inside buildings is crucial for improving indoor network communication performance. However, relying solely on outdoor 5G base stations may not achieve comprehensive indoor coverage. Furthermore, the existence of co-channel interference between indoor and outdoor environments means that even with the construction of indoor 5G base stations or indoor 5G distribution systems, the expected results may not be achieved. Therefore, an accurate and effective scientific assessment of the indoor 5G coverage status of buildings is necessary beforehand to accurately determine the necessity and feasibility of deploying indoor 5G coverage.

[0019] Traditional methods for assessing the value of indoor 5G coverage have significant limitations. One main approach relies on manual testing with test terminals throughout the building, followed by evaluation based on the test data. This method requires substantial manpower and time, significantly impacting evaluation efficiency. Furthermore, the evaluation results obtained through this method are susceptible to subjective factors, making accuracy difficult to guarantee.

[0020] Another approach is to perform location calculations by collecting measurement reports from user equipment, such as using triangulation algorithms for evaluation. However, this method is limited by positioning accuracy, resulting in lower accuracy of the evaluation results. More importantly, the aforementioned traditional methods only focus on the single aspect of signal coverage evaluation, failing to comprehensively consider the impact of indoor and outdoor co-channel interference on indoor 5G signal coverage performance, as well as the changes in coverage requirements caused by differences in building capacity needs. The lack of consideration for these key factors makes it difficult for the final evaluation results to accurately reflect actual coverage needs, thereby affecting the rational planning and implementation of subsequent actual coverage solutions.

[0021] To address the aforementioned technical issues, embodiments of this application provide a method, apparatus, and program instructions for evaluating indoor 5G coverage. The method specifically includes: acquiring multiple outdoor 5G coverage data and multiple indoor 4G coverage data for a target indoor cell; predicting the indoor 5G coverage data corresponding to each indoor 4G coverage data based on indoor 5G parameters; then determining multiple interference isolation levels and the proportion of indoor 5G coverage data at each interference isolation level based on the indoor and outdoor 5G coverage data; determining the performance attenuation ratio of indoor 5G signal coverage at each interference isolation level; and finally, performing an indoor 5G coverage evaluation for the target indoor cell based on the proportion of indoor 5G coverage data corresponding to the multiple interference isolation levels and the indoor 5G performance attenuation ratio, and determining the corresponding indoor 5G coverage evaluation result.

[0022] Based on the technical solution provided in this application, accurate prediction of indoor 5G coverage data can be achieved using indoor 4G coverage data. Furthermore, the technical solution provided in this application can accurately determine the impact of indoor and outdoor co-channel interference on the performance attenuation of indoor 5G signals under different isolation levels, allowing the evaluation process to fully consider the impact of co-channel interference and significantly improving the accuracy and practicality of 5G indoor coverage evaluation results. The evaluation process can also be comprehensively evaluated from dimensions such as the building's service demand, resulting in a significant improvement in both efficiency and accuracy compared to traditional methods for 5G indoor coverage evaluation.

[0023] Regarding the execution entity used in the technical solutions provided in the embodiments of this application, it can specifically be a terminal device, such as a desktop computer, laptop computer, or the target base station itself, or a remote device, such as a server that remotely connects to the target base station. In addition, the execution entity used in the embodiments of this application can also be a software entity, such as a client or software program installed on a terminal device. The specific type of execution entity corresponding to the evaluation method, device, and program instructions for indoor 5G coverage provided in the embodiments of this application is not strictly limited here; it can be flexibly selected and set according to the application scenario and actual needs.

[0024] It should be noted that the embodiments provided in this application do not limit the specific application scenarios corresponding to the evaluation methods, devices and program instructions for indoor 5G coverage provided above. The technical solutions provided in the embodiments of this application can be flexibly applied to various application scenarios that require evaluation of the value of indoor 5G coverage according to actual needs.

[0025] For example, in scenarios involving the construction of indoor 5G base stations or indoor 5G distribution systems in large public places (such as train stations, hospitals, and large shopping malls), the technical solution provided in this application can accurately predict the indoor 5G coverage data when indoor 5G signal coverage is achieved, based on the indoor 4G coverage data of user equipment in the target location. Furthermore, based on the outdoor 5G coverage data obtained from the outdoor 5G base station and the determined indoor 5G coverage data, the data ratio under different interference isolation levels and the measured indoor 5G performance attenuation ratio corresponding to each interference isolation level can be accurately determined. Then, based on the data ratio and attenuation ratio, a precise evaluation of the 5G coverage effect in the target location can be conducted, determining the corresponding indoor 5G coverage evaluation result for the target location.

[0026] The indoor 5G coverage evaluation results determined by the technical solution provided in this application can fully understand the demand for building indoor 5G base stations or constructing indoor 5G distribution systems in target locations. This allows for full consideration of the co-channel interference impact of outdoor 5G base stations on indoor 5G coverage during actual decision-making and deployment, achieving indoor 5G signal coverage that better reflects real-world conditions and actual needs. Compared to traditional evaluation methods, the technical solution provided in this application significantly improves evaluation efficiency and accuracy, enabling reasonable resource allocation and enhancing indoor 5G signal coverage.

[0027] It should be noted that the application scenarios described in the above embodiments of this application are for the purpose of more clearly illustrating the technical solutions of the embodiments of this application, and do not constitute a limitation on the technical solutions provided by the embodiments of this application. Those skilled in the art will understand that with the emergence of new application scenarios, the technical solutions provided by the embodiments of this application are also applicable to similar technical problems. The evaluation method, apparatus, and program instructions for indoor 5G coverage provided by the embodiments of this application can be applied to various application scenarios that require evaluation of the indoor 5G coverage value of indoor cells.

[0028] Figure 1 This is a flowchart illustrating an evaluation method for indoor 5G coverage provided in one embodiment of this application.

[0029] S101: Acquire multiple outdoor 5G coverage data and multiple indoor 4G coverage data of the target indoor cell.

[0030] In step S101, the technical solution provided in this application embodiment can acquire outdoor 5G coverage data and indoor 4G coverage data of multiple user devices within the same collection period for the target indoor cell.

[0031] The target indoor cell refers to the indoor area where indoor 5G coverage evaluation needs to be conducted, and an indoor 4G base station or 4G indoor distribution system has already been deployed in the target indoor cell. The outdoor 5G coverage data or indoor 4G coverage data can be specifically represented by the Reference Signal Received Power (RSRP) reported by the user equipment.

[0032] Regarding the specific process of acquiring the aforementioned coverage data, in one embodiment provided in this application, inter-system measurement events can be performed on a target indoor cell that has already achieved 4G indoor coverage, enabling the outdoor 5G base station to acquire outdoor 5G measurement report (MR) data for each user equipment in the target indoor cell. The outdoor 5G measurement report data may include, but is not limited to, the aforementioned parameters such as reference signal received power, reference signal received quality, signal-to-noise ratio, signal-to-interference-plus-noise ratio, block error rate, and downlink path loss. Specifically, the reference signal received power corresponding to each user equipment can be used as the outdoor 5G coverage data.

[0033] Meanwhile, since the target indoor cell already has 4G signal coverage, indoor 4G measurement report data can be directly obtained for each user device within the same collection period as the outdoor 5G measurement report data through the indoor 4G base station or 4G indoor distribution system of the target indoor cell. Similar to the outdoor 5G measurement report data, the indoor 4G measurement report data may include, but is not limited to, parameters such as reference signal received power, reference signal received quality, signal-to-noise ratio, and signal-to-interference-plus-noise ratio. Among them, the reference signal received power can be used as the indoor 4G coverage data corresponding to the user device.

[0034] Indoor 4G coverage data can be used for subsequent steps to predict indoor 5G coverage data, while outdoor 5G coverage data can be used to assess the impact of co-channel interference on indoor 5G coverage performance. Through the data acquisition process in step S101, indoor 4G and outdoor 5G coverage data can be effectively obtained, providing a data foundation for subsequent indoor 5G coverage data prediction and co-channel interference analysis, significantly improving the processing efficiency and accuracy of the overall 5G indoor coverage evaluation process.

[0035] S102: Based on indoor 5G parameters and multiple indoor 4G coverage data, predict the indoor 5G coverage data corresponding to each indoor 4G coverage data.

[0036] In step S102, the technical solution provided in this application embodiment can predict the indoor 5G coverage data corresponding to each indoor 4G coverage data when the target indoor cell achieves 5G indoor coverage, based on preset indoor 5G parameters and acquired indoor 4G coverage data.

[0037] Among them, indoor 5G parameters can represent the signal propagation characteristics when indoor 5G coverage is achieved through indoor 5G base stations or 5G indoor distribution systems. Specifically, these parameters may include, but are not limited to, specific signal parameters such as signal transmission power, antenna gain, frequency loss, and signal penetration loss.

[0038] Regarding the specific operational procedures for indoor 5G coverage data prediction, in one embodiment provided in this application, the parameter differences between each parameter in the indoor 5G parameters and the corresponding parameters in the indoor 4G parameters of the target indoor cell can be determined. These parameter differences can specifically include: signal output power differences, antenna gain differences, frequency loss differences, and penetration loss differences, etc.

[0039] For each indoor 4G coverage data point, the sum of the differences between the indoor 4G coverage data point and each parameter can be calculated as the corresponding indoor 5G coverage data point. The specific determination process can be found in the following formula (1): Formula (1) Specifically, for each indoor 4G coverage data, This refers to the received power of the reference signal in the 4G measurement report. As indoor 4G coverage data This represents the reference signal received power corresponding to the user equipment of the target indoor cell when 5G indoor coverage is provided based on indoor 5G parameters. This serves as indoor 5G coverage data.

[0040] This represents the difference in signal output power between the indoor 5G signal and the indoor 4G signal, indicating the difference in signal output power between the signal source and the reference signal. This indicates the antenna gain difference between indoor 5G signals and indoor 4G signals, which can be specifically divided into the gain difference of omnidirectional ceiling antennas and the gain difference of directional panel antennas. This indicates the frequency loss difference between indoor 5G signals and indoor 4G signals at different frequency bands, which can be specifically measured through... Calculations show that and These are the indoor 5G frequency band and the indoor 4G frequency band, respectively. This indicates the difference in penetration loss between indoor 5G and indoor 4G signals when facing obstacles of the same material. For example, the penetration loss of an indoor 4G signal through a drywall wall might be 3dB, while that of a 5G signal might be 6dB. It can be +3dB. All the above parameters have the same unit, which is decibel (dB).

[0041] Formula (1) can accurately predict the indoor 5G coverage data corresponding to each measured indoor 4G coverage data. It efficiently determines indoor 5G coverage data even when indoor 5G signal coverage has not yet been achieved, providing a strong reference for subsequent analysis of indoor and outdoor co-channel interference. Compared to traditional manual measurement methods, this significantly improves the overall processing efficiency and accuracy of the 5G indoor coverage evaluation process, providing practical assistance for actual indoor 5G coverage decision-making.

[0042] S103: Based on multiple outdoor 5G coverage data and multiple indoor 5G coverage data, determine multiple interference isolation levels and the proportion of indoor 5G coverage data corresponding to each interference isolation level.

[0043] In step S103, the technical solution provided in this application embodiment can perform indoor and outdoor co-channel interference analysis on the target indoor cell based on the indoor and outdoor 5G coverage data obtained and determined in the above steps, and determine multiple interference isolation degrees and the proportion of indoor 5G coverage data corresponding to each interference isolation degree.

[0044] Interference isolation represents the resistance of indoor 5G coverage to interference from outdoor 5G coverage, and can be determined based on each indoor 5G coverage data point and the outdoor 5G coverage data point for the same user device. The indoor 5G coverage data percentage represents the proportion of indoor 5G coverage data points corresponding to different interference isolation levels across all indoor 5G coverage data points.

[0045] Specifically, in one embodiment provided in this application, for each indoor 5G coverage data, the outdoor 5G coverage data corresponding to the indoor 5G coverage data can be determined based on the user equipment to which the indoor 4G coverage data belongs. Specifically, these can be the reference signal receiving power corresponding to the indoor 5G signal and the reference signal receiving power corresponding to the outdoor 5G signal.

[0046] Then, the coverage strength difference between the indoor 5G coverage data and the corresponding outdoor 5G coverage data can be calculated, which can be the difference in the received power of the reference signal. The determined coverage strength difference can then be used as the interference isolation degree corresponding to the indoor 5G coverage data. The specific determination process can be referred to the following formula (2): Formula (2) in, Indicates the first This refers to indoor 5G coverage data, specifically the reference signal received power. Indicates the first This is outdoor 5G coverage data, and the specific data is also the reference signal received power. For the first Interference isolation corresponding to indoor 5G coverage data.

[0047] Based on the determined interference isolation level and the corresponding amount of indoor 5G coverage data, the proportion of indoor 5G coverage data corresponding to each interference isolation level can be determined. The specific representation of the proportion of indoor 5G coverage data corresponding to different interference isolation levels can be found in Table 1.

[0048] Table 1. Percentage of Indoor 5G Coverage Data Corresponding to Different Interference Isolation Degrees As shown in Table 1, the interference isolation degree corresponding to each indoor 5G coverage data and the proportion of indoor 5G coverage data corresponding to each interference isolation degree can be determined through the above embodiments. Table 1 is for illustrative purposes only and for ease of understanding. The specific value and quantity n of the interference isolation degree are not strictly limited in this embodiment and can be flexibly determined based on actual data and application scenarios.

[0049] The above steps allow for the accurate calculation of the interference isolation level corresponding to each indoor 5G coverage data point. All indoor 5G coverage data can then be reasonably categorized to determine the data proportion for each interference isolation level. The determined data proportion statistics, such as those shown in Table 1 above, can be used for subsequent performance impact analysis of target indoor cells caused by indoor-outdoor co-channel interference. This improves the accuracy and practicality of the 5G indoor coverage evaluation process, making the evaluation results more consistent with real-world conditions and enabling more practical 5G indoor coverage decisions.

[0050] S104: Based on the data transmission rate of multiple interference isolation levels under 5G indoor and outdoor co-frequency interference, determine the indoor 5G performance attenuation ratio corresponding to each interference isolation level.

[0051] In step S104, the technical solution provided in this application embodiment can perform actual signal interference tests on the multiple interference isolation degrees determined in step S103, thereby determining the indoor 5G performance attenuation ratio of each interference isolation degree.

[0052] Among them, the indoor 5G performance degradation ratio is used to indicate the degree to which the data transmission rate is affected by indoor and outdoor co-channel interference under the corresponding interference isolation when indoor 5G coverage is in place. Specifically, it can be expressed by the percentage decrease in data transmission rate.

[0053] Specifically, in one embodiment provided in this application, two different interference isolation degrees can be selected from a plurality of determined interference isolation degrees as the first reference isolation degree and the second reference isolation degree, for example, the interference isolation degrees are 0dB and 5dB.

[0054] Based on the first and second baseline isolation levels, corresponding 5G indoor and outdoor co-channel interference scenarios can be constructed to conduct actual signal interference tests and determine the data transmission rates corresponding to the first and second baseline isolation levels, respectively.

[0055] Then, based on the standard data transmission rate corresponding to no indoor and outdoor co-channel interference and the data transmission rates corresponding to the first and second reference isolation, the indoor 5G performance attenuation ratios corresponding to the first and second reference isolation can be calculated.

[0056] Taking a baseline isolation of 0dB as an example, this means that the indoor 5G signal strength is equal to the outdoor 5G signal strength, indicating that the outdoor 5G signal has a stronger interference effect on the indoor 5G signal. Assuming a standard data transmission rate of 1.2Gbps, the data transmission rate under the first baseline isolation might be 120Mbps, and the corresponding indoor 5G performance attenuation ratio would be (1.2Gbps-120Mbps) / 1.2Gbps=90%.

[0057] To improve the efficiency of determining the indoor 5G performance attenuation ratio corresponding to multiple interference isolation levels, in the embodiments provided in this application, the indoor 5G performance attenuation ratio corresponding to each 1dB change in interference isolation can be determined based on the determined indoor 5G performance attenuation ratios corresponding to the first and second reference isolation levels, respectively, using the average folding algorithm. Thus, the indoor 5G performance attenuation ratio corresponding to each interference isolation level can be calculated. Taking a first reference isolation level of 5dB and a second reference isolation level of 0dB as an example, the specific determination process can be referred to the following formula (3): Formula (3) in, For the first The indoor 5G performance degradation rate corresponding to each interference isolation level This represents the first baseline isolation level, specifically the indoor 5G performance degradation rate corresponding to an interference isolation level of 5dB. The first baseline isolation level is the indoor 5G performance attenuation ratio when the interference isolation level is 0dB.

[0058] Formula (3) can be used to accurately calculate the indoor 5G performance attenuation ratio corresponding to each interference isolation level. Based on Table 1 in the above embodiments, the specific representation of the indoor 5G performance attenuation ratio corresponding to different interference isolation levels can be found in Table 2.

[0059] Table 2. Indoor 5G performance degradation rates corresponding to different interference isolation levels. As shown in Table 2, the processing and calculations described in the above embodiments can accurately determine multiple interference isolation levels corresponding to the target indoor cell, as well as the proportion of indoor 5G coverage data and the indoor 5G performance attenuation ratio corresponding to each interference isolation level. This enables the construction of a signal feature fingerprint database for the target indoor cell similar to that shown in Table 2. Based on the proportion of indoor 5G coverage data and the indoor 5G performance attenuation ratio corresponding to each interference isolation level, subsequent evaluations of the target indoor cell's 5G indoor coverage performance and the determination of indoor 5G coverage evaluation results can be performed. This fully considers the impact of indoor and outdoor co-channel interference, significantly improving the accuracy and practicality of indoor 5G coverage evaluation results, and providing a more comprehensive and realistic reference for actual indoor 5G coverage deployment.

[0060] S105: Based on the proportion of indoor 5G coverage data corresponding to multiple interference isolation levels and the proportion of indoor 5G performance attenuation, determine the indoor 5G coverage evaluation results corresponding to the target indoor cell.

[0061] In step S105, the technical solution provided in this application embodiment can accurately assess the indoor 5G coverage value of the target indoor cell based on the proportion of indoor 5G coverage data and the proportion of indoor 5G performance attenuation corresponding to each interference path determined in the above steps, and determine the indoor 5G coverage evaluation result. The indoor 5G coverage evaluation result can be used to indicate whether the target indoor cell is suitable for building an indoor 5G base station or a 5G indoor distribution system.

[0062] Specifically, in one embodiment provided in this application, for each interference isolation level, the performance degradation ratio corresponding to that interference isolation level can be determined by multiplying the indoor 5G coverage data ratio and the indoor 5G performance degradation ratio. Taking Table 2 above as an example, when the interference isolation level is n, the indoor 5G coverage data ratio and the indoor 5G performance degradation ratio are respectively... %and The percentage decrease in performance due to interference isolation n is %. %* %.

[0063] After determining the performance degradation percentage corresponding to each interference isolation level, the performance degradation percentages of all interference isolation levels can be summed to determine the overall performance degradation percentage corresponding to the target indoor cell. This application not only assesses the value of indoor 5G coverage from the perspective of 5G signal performance, but also considers that different target indoor cells have different service requirements and varying degrees of demand for indoor 5G coverage.

[0064] Therefore, after determining the overall performance degradation rate, the indoor 5G coverage evaluation result of the target indoor cell can be determined based on the overall performance degradation rate and the service demand type corresponding to the target indoor cell.

[0065] Specifically, in one embodiment provided in this application, the indoor 5G performance evaluation result of the target indoor cell can be determined based on the overall performance degradation ratio. This can be specifically referred to in the following formula (4): Formula (4) in, This indicates the indoor 5G performance evaluation results of the target indoor cell. The number of interference isolation degrees is the same as that in Table 2 of the above embodiments. They have the same meaning. The first The percentage of indoor 5G coverage data and the percentage of indoor 5G performance degradation corresponding to each interference isolation level can be accurately calculated using formula (4), thereby determining the indoor 5G performance evaluation result of the target indoor cell.

[0066] Then, based on the indoor 5G performance evaluation results and preset performance thresholds, the target indoor cell can be classified into high-performance, medium-performance, or low-performance categories. For example, suppose the preset performance thresholds include: indoor 5G performance evaluation results between (80%, 100%) are high-performance, indoor 5G performance evaluation results between (60%, 80%) are medium-performance, and indoor 5G performance evaluation results between (0%, 60%) are low-performance. If the indoor 5G performance evaluation result of the target indoor cell is determined to be 95% using the above formula (4), then the indoor 5G performance level of the target indoor cell is high-performance.

[0067] Next, the indoor 5G coverage evaluation results of the target indoor cell can be further determined based on its indoor 5G performance level and service demand type. The service demand type can be categorized into high service demand, medium service demand, and low service demand.

[0068] The method for determining the service demand types of different target indoor cells is not strictly limited in this application and can be flexibly determined according to the application scenario and actual needs. In some embodiments, the service demand types can be classified based on the pedestrian flow data and indoor 4G traffic data corresponding to the target indoor cell. For example, similar to indoor 5G performance levels, threshold classification can be applied to pedestrian flow data and indoor 4G traffic data. When the pedestrian flow data or indoor 4G traffic data reaches the corresponding threshold range, the corresponding service demand type is determined.

[0069] The determined indoor 5G coverage evaluation results can simultaneously include the indoor 5G performance level and service demand type of the target indoor cell. The indoor 5G performance level represents the performance of the indoor 5G signal under indoor-outdoor co-channel interference from outdoor 5G base stations, while the service demand type represents the network demand level of the target indoor cell in terms of services. The technical solution provided in this application combines both performance and service demand dimensions, fully considering indoor-outdoor co-channel interference and the degree of service-level demand, to comprehensively determine highly accurate and realistic indoor 5G coverage evaluation results.

[0070] The results of indoor 5G coverage evaluation can be used to provide a reference for the construction of indoor 5G base stations or the establishment of 5G indoor distribution systems in actual target indoor cells, from both performance and service requirements, so as to achieve more effective indoor 5G coverage.

[0071] In addition to the above, this application takes into account that outdoor 5G base stations may not be able to achieve full coverage of outdoor 5G signals for the target indoor cell. If there is no co-channel interference of outdoor 5G signals or the co-channel interference is weak, then the performance degradation of indoor 5G signals due to co-channel interference between indoor and outdoor channels need not be considered.

[0072] Therefore, in another embodiment provided in this application, before predicting indoor 5G coverage data, the target indoor cell can be identified as a cell that can be covered by outdoor 5G based on the obtained outdoor 5G coverage data.

[0073] Specifically, the outdoor 5G weak coverage ratio of the target indoor cell can be determined based on multiple outdoor 5G coverage data obtained and a preset weak coverage strength threshold. The specific determination process can be referred to the following formula (5): in, This indicates the percentage of weak outdoor 5G coverage in the target indoor cell. This represents the reference signal received power among multiple outdoor 5G coverage data points acquired. Less than the preset weak coverage strength threshold The number of measurement reports This indicates the number of measurement reports that include all outdoor 5G coverage data.

[0074] The outdoor 5G weak coverage ratio of the target indoor cell can be accurately determined by the above formula (5). Based on the outdoor 5G weak coverage ratio and the preset weak coverage ratio threshold, it can be further determined whether the target indoor cell is an outdoor 5G covered cell or an outdoor 5G uncovered cell.

[0075] When the target indoor cell is determined to be a 5G-coverable cell outdoors, it can be determined that if 5G indoor coverage is performed within the target indoor cell, it may be affected by indoor-outdoor co-channel interference, leading to a decrease in 5G performance. In this case, indoor 4G coverage data and the processing steps S102 to S105 can be obtained for the target indoor cell.

[0076] When the target indoor cell is determined to be a cell without outdoor 5G coverage, it can be determined that indoor 5G coverage within the target indoor cell will not be affected by indoor-outdoor co-channel interference from outdoor 5G base stations, or the impact will be minimal. Since indoor-outdoor co-channel interference has a relatively weak impact on performance, the performance degradation analysis process described in steps S102 to S104 above can be omitted in this case. Based on the service demand type corresponding to the target indoor cell, indoor 5G coverage evaluation results for the target indoor cell can be generated.

[0077] The processing described in the above embodiments can effectively improve the evaluation efficiency of indoor 5G coverage assessment for target indoor cells, accurately classify target indoor cells that require further performance analysis, reduce computing resource consumption, and make the actual implementation of indoor 5G coverage more closely resemble real-world conditions. It should be noted that the specific format of the indoor 5G coverage assessment results is not strictly limited in this application and can be flexibly selected and set according to actual needs and application scenarios. In some embodiments, the specific indoor 5G coverage assessment results of the target indoor cell can refer to... Figure 2 As shown in the image.

[0078] Figure 2 This is a schematic diagram illustrating the process of determining indoor 5G coverage evaluation results, provided as an embodiment of this application.

[0079] Among them, 201 represents the outdoor 5G weak coverage ratio, 202 represents the indoor 5G performance evaluation result, 203 represents the service demand type, and 204 represents the indoor 5G coverage evaluation result.

[0080] like Figure 2 As shown, based on the outdoor 5G weak coverage ratio 201 of the target indoor cell, it can be determined whether it is a 5G-covered cell or a 5G-uncovered cell. Based on the indoor 5G performance evaluation results 202, the indoor 5G performance level (high performance, medium performance, and low performance) of the target indoor cell can be further determined. Based on the service demand type 203, it can be determined whether the target indoor cell has high service demand, medium service demand, or low service demand.

[0081] Based on the information, it can be generated Figure 2 The indoor 5G coverage evaluation result 204 is shown on the right. When the target indoor cell is an outdoor 5G-coverable cell, the indoor 5G coverage evaluation result 204 may simultaneously include the indoor 5G performance level determined based on the indoor 5G performance evaluation result 202, and the service demand type 203 of the target indoor cell.

[0082] When the target indoor cell is a cell not covered by outdoor 5G, the indoor 5G performance will not be affected or will be only slightly affected by indoor and outdoor co-channel interference. The indoor 5G coverage evaluation result 204 can only include the service demand type 203 of the target indoor cell. Based on Figure 2 The indoor 5G coverage evaluation results 204 shown can provide a practical theoretical reference for the actual implementation of indoor 5G coverage, thereby achieving 5G indoor coverage that is more in line with the actual needs and real conditions of the target indoor cell.

[0083] The above content describes the specific details of the indoor 5G coverage evaluation method provided in this application. To facilitate a comprehensive understanding of the overall process of the technical solution provided in this application and the relationship between the various embodiments, a flowchart of the indoor 5G coverage evaluation method is provided below for detailed explanation. For specific details, please refer to... Figure 3 As shown in the image.

[0084] Figure 3 This is a flowchart illustrating an evaluation method for indoor 5G coverage provided in one embodiment of this application.

[0085] S301: Obtain outdoor 5G coverage data of multiple user devices in the target indoor cell through an outdoor 5G base station.

[0086] S302: Based on outdoor 5G coverage data, determine whether the target indoor cell is a cell with outdoor 5G coverage or a cell without outdoor 5G coverage.

[0087] S303: When the target indoor cell is an outdoor 5G-coverable cell, obtain indoor 4G coverage data of multiple user devices through an indoor 4G base station or an indoor 4G distribution system. S304: Based on preset indoor 5G parameters, predict the indoor 5G coverage data corresponding to each indoor 4G coverage data.

[0088] In steps S301 to S304, the technical solution provided in this application embodiment can accurately predict the indoor 5G coverage data if the target indoor cell achieves indoor 5G coverage, based on indoor 4G coverage data, when the target indoor cell is determined to be an outdoor 5G-coverable cell. The specific determination process can be referred to the above embodiments, and will not be elaborated further here.

[0089] S305: Based on indoor and outdoor 5G coverage data, determine the different interference isolation levels of the target indoor cell under co-channel interference, and determine the proportion of indoor 5G coverage data corresponding to each interference isolation level.

[0090] S306: Based on multiple interference isolation levels, actual scenario setup and data transmission rate testing were conducted to determine the indoor 5G performance attenuation ratio under each interference isolation level.

[0091] S307: Determine the overall performance degradation rate of the target indoor cell based on the proportion of indoor 5G coverage data for each interference isolation level and the indoor 5G performance degradation rate.

[0092] In steps S305 to S307, the technical solution provided in this application embodiment can accurately analyze and determine multiple interference isolation degrees of the target indoor cell, as well as the proportion of indoor 5G coverage data and the proportion of indoor 5G performance attenuation corresponding to each interference isolation degree.

[0093] This allows us to determine the overall performance degradation rate of the target indoor cell, fully considering the impact of indoor and outdoor co-channel interference on indoor 5G coverage performance, and providing strong data support for subsequent indoor 5G coverage evaluation results. The specific determination process can be found in the above embodiments, and will not be elaborated further here.

[0094] S308: Generate indoor 5G coverage evaluation results for the target indoor cell based on the overall performance degradation rate and service demand type of the target indoor cell.

[0095] S309: When the target indoor cell is a cell that cannot be covered by outdoor 5G, generate the indoor 5G coverage evaluation result of the target indoor cell according to the service demand type of the target indoor cell.

[0096] In step S309, the technical solution provided in this application embodiment, when determining that the target indoor cell is a cell that cannot be covered by outdoor 5G, indicates that when the target indoor cell is deployed for indoor 5G, its performance will not be affected by co-channel interference from outdoor 5G base stations.

[0097] In this case, the indoor 5G coverage evaluation result can be determined by considering only the service demand type of the target indoor cell. The specific determination process can be found in the above embodiment, and will not be elaborated further here.

[0098] The above describes a specific implementation of an indoor 5G coverage evaluation method provided in this application. The technical solution provided in this application can accurately predict indoor 5G coverage data based on indoor 4G coverage data. Furthermore, the technical solution can accurately determine the impact of indoor and outdoor co-channel interference on the performance attenuation of indoor 5G signals under different isolation levels, ensuring that the impact of co-channel interference is fully considered during the evaluation process, significantly improving the accuracy and practicality of the 5G indoor coverage evaluation results. The evaluation process can also comprehensively assess aspects such as the building's service demand, resulting in a significant improvement in both efficiency and accuracy compared to traditional methods for 5G indoor coverage evaluation.

[0099] Based on the evaluation method for indoor 5G coverage provided in the above embodiments, this application also provides an embodiment of an evaluation device for indoor 5G coverage.

[0100] Figure 4 This is a schematic diagram of the structure of an evaluation device for indoor 5G coverage, provided as another embodiment of this application.

[0101] like Figure 4 As shown, this application embodiment also provides an evaluation device 400 for indoor 5G coverage, applied to electronic devices. The evaluation device 400 for indoor 5G coverage includes: The data acquisition module 401 is used to acquire multiple outdoor 5G coverage data and multiple indoor 4G coverage data of the target indoor cell; The data prediction module 402 is used to predict the indoor 5G coverage data corresponding to each indoor 4G coverage data based on indoor 5G parameters and multiple indoor 4G coverage data. The isolation determination module 403 is used to determine multiple interference isolation levels and the proportion of indoor 5G coverage data corresponding to each interference isolation level based on multiple outdoor 5G coverage data and multiple indoor 5G coverage data. The performance degradation determination module 404 is used to determine the indoor 5G performance degradation ratio corresponding to each interference isolation degree based on the data transmission rate under 5G indoor and outdoor co-frequency interference with multiple interference isolation degrees. The coverage evaluation module 405 is used to determine the indoor 5G coverage evaluation result of the target indoor cell based on the proportion of indoor 5G coverage data corresponding to multiple interference isolation degrees and the proportion of indoor 5G performance attenuation.

[0102] Optionally, the data prediction module 402 mentioned above includes: Determine the parameter differences between indoor 5G parameters and indoor 4G parameters. The parameter differences include: signal output power difference, antenna gain difference, frequency loss difference, and penetration loss difference. For each indoor 4G coverage data point, the parameter difference is summed with the indoor 4G coverage data to obtain the corresponding indoor 5G coverage data.

[0103] Optionally, the isolation determination module 403 mentioned above includes: For each indoor 5G coverage data, the corresponding outdoor 5G coverage data is determined based on the user equipment to which the corresponding indoor 4G coverage data belongs. The difference in coverage intensity between the indoor 5G coverage data and the corresponding outdoor 5G coverage data is determined as the interference isolation degree corresponding to the indoor 5G coverage data. Based on the number of indoor 5G coverage data corresponding to each interference isolation level, determine the proportion of indoor 5G coverage data corresponding to each interference isolation level.

[0104] Optionally, the performance degradation determination module 404 mentioned above includes: Under 5G indoor and outdoor co-channel interference, obtain the data transmission rate corresponding to the first reference isolation degree and the second reference isolation degree, where the first reference isolation degree and the second reference isolation degree are two interference isolation degrees among multiple interference isolation degrees; Based on the standard data transmission rate and data transmission rate, determine the indoor 5G performance attenuation ratio corresponding to the first and second reference isolation levels; Based on the indoor 5G performance attenuation ratios corresponding to the first and second baseline isolation degrees, determine the indoor 5G performance attenuation ratios corresponding to other interference isolation degrees.

[0105] Optionally, the coverage evaluation module 405 mentioned above includes: For each interference isolation level, the performance degradation rate of the target indoor cell under that interference isolation level is determined based on the proportion of indoor 5G coverage data and the indoor 5G performance degradation rate corresponding to that interference isolation level. The sum of the performance degradation rates of the target indoor cell under multiple interference isolation levels is determined to obtain the overall performance degradation rate of the target indoor cell. The indoor 5G coverage evaluation results are determined based on the overall performance degradation rate and the service demand type of the target indoor cell.

[0106] Optionally, the coverage evaluation module 405 mentioned above includes: The indoor 5G performance evaluation results of the target indoor cell are determined based on the overall performance degradation rate. Based on the indoor 5G performance evaluation results, the indoor 5G performance level corresponding to the target indoor cell is determined, and the indoor 5G performance level is classified as high performance, medium performance or low performance. Based on the indoor 5G performance classification and service demand type, indoor 5G coverage evaluation results are generated. The service demand type is determined based on the pedestrian flow data and indoor 4G traffic data of the target indoor cell, and is divided into high service demand, medium service demand, or low service demand.

[0107] Optionally, the data acquisition module 401 mentioned above includes: Based on multiple outdoor 5G coverage data and preset weak coverage intensity thresholds, determine the outdoor 5G weak coverage ratio of the target indoor cell; Based on the outdoor 5G weak coverage ratio, determine whether the target indoor cell is a cell with outdoor 5G coverage; The aforementioned coverage evaluation module 405 includes: Given that the target indoor cell is determined to be a cell with outdoor 5G coverage, the indoor 5G coverage data corresponding to each indoor 4G coverage data is predicted based on indoor 5G parameters and multiple indoor 4G coverage data.

[0108] Optionally, the coverage evaluation module 405 mentioned above includes: If the target indoor cell is determined to be a cell that cannot be covered by outdoor 5G, the indoor 5G coverage evaluation result of the target indoor cell is generated according to the service demand type of the target indoor cell.

[0109] Figure 5 This is a schematic diagram of the hardware structure of a terminal device provided in another embodiment of this application.

[0110] The terminal device may include a processor 501 and a memory 502 storing computer program instructions.

[0111] Specifically, the processor 501 may include a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits that can be configured to implement the embodiments of this application.

[0112] Memory 502 may include mass storage for data or instructions. For example, and not limitingly, memory 502 may include a hard disk drive (HDD), floppy disk drive, flash memory, optical disk, magneto-optical disk, magnetic tape, or Universal Serial Bus (USB) drive, or a combination of two or more of these. Where appropriate, memory 502 may include removable or non-removable (or fixed) media. Where appropriate, memory 502 may be internal or external to the integrated gateway disaster recovery device. In a particular embodiment, memory 502 is non-volatile solid-state memory.

[0113] In a particular embodiment, memory 502 may include read-only memory (ROM), random access memory (RAM), disk storage media device, optical storage media device, flash memory device, electrical, optical, or other physical / tangible memory storage device. Thus, generally, memory includes one or more tangible (non-transitory) computer-readable storage media (e.g., memory devices) encoded with software including computer-executable instructions, and when the software is executed (e.g., by one or more processors), it is operable to perform the operations described with reference to the method according to one aspect of this disclosure.

[0114] The processor 501 reads and executes computer program instructions stored in the memory 502 to implement any of the evaluation methods for indoor 5G coverage in the above embodiments.

[0115] In one example, the terminal device may also include a communication interface 503 and a bus 510. Wherein, for example... Figure 5 As shown, the processor 501, memory 502, and communication interface 503 are connected through bus 510 and complete communication with each other.

[0116] The communication interface 503 is mainly used to realize communication between various modules, devices, units and / or equipment in the embodiments of this application.

[0117] Bus 510 includes hardware, software, or both, that couples components of an online data traffic metering device together. For example, and not limitingly, the bus may include an Accelerated Graphics Port (AGP) or other graphics bus, an Enhanced Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), HyperTransport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an Infinite Bandwidth Interconnect, a Low Pin Count (LPC) bus, a memory bus, a Microchannel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a Video Electronics Standards Association Local (VLB) bus, or other suitable buses, or combinations of two or more of these. Where appropriate, bus 410 may include one or more buses. Although specific buses are described and illustrated in embodiments of this application, this application contemplates any suitable bus or interconnect.

[0118] Furthermore, in conjunction with the evaluation methods for indoor 5G coverage described in the above embodiments, this application embodiment can provide a computer storage medium for implementation. This computer storage medium stores computer program instructions; when these computer program instructions are executed by a processor, they implement any of the evaluation methods for indoor 5G coverage described in the above embodiments.

[0119] This application also provides a computer program product, including a computer program, which, when executed, implements any of the evaluation methods for indoor 5G coverage described in the above embodiments.

[0120] It should be clarified that this application is not limited to the specific configurations and processes described above and shown in the figures. For the sake of brevity, detailed descriptions of known methods are omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of this application is not limited to the specific steps described and shown. Those skilled in the art can make various changes, modifications, and additions, or change the order of steps, after understanding the spirit of this application.

[0121] The functional blocks shown in the above block diagram can be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, they can be, for example, electronic circuits, application-specific integrated circuits (ASICs), appropriate firmware, plug-ins, function cards, etc. When implemented in software, the elements of this application are programs or code segments used to perform the required tasks. Programs or code segments can be stored on a machine-readable medium or transmitted over a transmission medium or communication link via data signals carried on a carrier wave. "Machine-readable medium" can include any medium capable of storing or transmitting information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, radio frequency (RF) links, etc. Code segments can be downloaded via computer networks such as the Internet, intranets, etc.

[0122] It should also be noted that the exemplary embodiments mentioned in this application describe methods or systems based on a series of steps or apparatus. However, this application is not limited to the order of the above steps; that is, the steps can be performed in the order mentioned in the embodiments, or in a different order, or several steps can be performed simultaneously.

[0123] The aspects of this disclosure have been described above with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this disclosure. It should be understood that each block in the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing apparatus to produce a machine such that these instructions, executable via the processor of the computer or other programmable data processing apparatus, enable the implementation of the functions / actions specified in one or more blocks of the flowchart illustrations and / or block diagrams. Such a processor can be, but is not limited to, a general-purpose processor, a special-purpose processor, a special application processor, or a field-programmable logic circuit. It is also understood that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can also be implemented by special-purpose hardware performing the specified functions or actions, or can be implemented by a combination of special-purpose hardware and computer instructions.

[0124] The above are merely specific embodiments of this application. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, modules, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here. It should be understood that the protection scope of this application is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in this application, and these modifications or substitutions should all be covered within the protection scope of this application.

Claims

1. A method for evaluating indoor 5G coverage, characterized in that, include: Acquire multiple outdoor 5G coverage data and multiple indoor 4G coverage data of the target indoor cell; Based on the indoor 5G parameters and the multiple indoor 4G coverage data, predict the indoor 5G coverage data corresponding to each indoor 4G coverage data; Based on the multiple outdoor 5G coverage data and the multiple indoor 5G coverage data, multiple interference isolation levels and the proportion of indoor 5G coverage data corresponding to each interference isolation level are determined. Based on the data transmission rate of the multiple interference isolation degrees under 5G indoor and outdoor co-frequency interference, determine the indoor 5G performance attenuation ratio corresponding to each interference isolation degree; Based on the proportion of indoor 5G coverage data corresponding to the multiple interference isolation degrees and the proportion of indoor 5G performance attenuation, the indoor 5G coverage evaluation result corresponding to the target indoor cell is determined.

2. The method according to claim 1, characterized in that, Based on indoor 5G parameters and the multiple indoor 4G coverage data, predict the indoor 5G coverage data corresponding to each indoor 4G coverage data, including: The parameter differences between the indoor 5G parameters and the indoor 4G parameters are determined. The parameter differences include: signal output power difference, antenna gain difference, frequency loss difference, and penetration loss difference. For each indoor 4G coverage data, the sum of the parameter difference and the indoor 4G coverage data is determined to obtain the indoor 5G coverage data corresponding to the indoor 4G coverage data.

3. The method according to claim 1, characterized in that, Based on the multiple outdoor 5G coverage data and the multiple indoor 5G coverage data, determine multiple interference isolation levels and the proportion of indoor 5G coverage data corresponding to each interference isolation level, including: For each indoor 5G coverage data, the outdoor 5G coverage data corresponding to the indoor 4G coverage data is determined based on the user equipment to which the indoor 5G coverage data belongs. The difference in coverage intensity between the indoor 5G coverage data and the corresponding outdoor 5G coverage data is determined as the interference isolation degree corresponding to the indoor 5G coverage data. The proportion of indoor 5G coverage data corresponding to each interference isolation level is determined based on the number of indoor 5G coverage data corresponding to each interference isolation level.

4. The method according to claim 1, characterized in that, Based on the data transmission rate under 5G indoor and outdoor co-channel interference of the multiple interference isolation levels, determine the indoor 5G performance attenuation ratio corresponding to each interference isolation level, including: Under 5G indoor and outdoor co-channel interference, obtain the data transmission rate corresponding to the first reference isolation degree and the second reference isolation degree, wherein the first reference isolation degree and the second reference isolation degree are two interference isolation degrees among the plurality of interference isolation degrees; Based on the standard data transmission rate and the data transmission rate, determine the indoor 5G performance attenuation ratios corresponding to the first reference isolation and the second reference isolation; Based on the indoor 5G performance attenuation ratios corresponding to the first and second reference isolation degrees, the indoor 5G performance attenuation ratios corresponding to other interference isolation degrees are determined.

5. The method according to claim 1, characterized in that, Based on the proportion of indoor 5G coverage data corresponding to the multiple interference isolation degrees and the proportion of indoor 5G performance attenuation, the indoor 5G coverage evaluation result corresponding to the target indoor cell is determined, including: For each interference isolation level, the performance degradation ratio of the target indoor cell under the interference isolation level is determined based on the proportion of indoor 5G coverage data corresponding to the interference isolation level and the indoor 5G performance degradation ratio. The sum of the performance degradation ratios of the target indoor cell under the multiple interference isolation levels is determined to obtain the overall performance degradation ratio corresponding to the target indoor cell; The indoor 5G coverage evaluation result is determined based on the overall performance degradation rate and the service demand type of the target indoor cell.

6. The method according to claim 5, characterized in that, Based on the overall performance degradation rate and the service demand type of the target indoor cell, the indoor 5G coverage evaluation results are determined, including: Based on the overall performance degradation rate, the indoor 5G performance evaluation result of the target indoor cell is determined; Based on the indoor 5G performance evaluation results, the indoor 5G performance level corresponding to the target indoor cell is determined, and the indoor 5G performance level is high performance, medium performance or low performance. Based on the indoor 5G performance classification and the service demand type, the indoor 5G coverage evaluation result is generated. The service demand type is determined based on the pedestrian flow data and indoor 4G traffic data of the target indoor cell, and is divided into high service demand, medium service demand, or low service demand.

7. The method according to claim 1, characterized in that, Before predicting the indoor 5G coverage data corresponding to each indoor 4G coverage data based on indoor 5G parameters and the plurality of indoor 4G coverage data, the method further includes: Based on the multiple outdoor 5G coverage data and the preset weak coverage strength threshold, the outdoor 5G weak coverage ratio of the target indoor cell is determined. Based on the outdoor 5G weak coverage ratio, determine whether the target indoor cell is an outdoor 5G covered cell; Based on indoor 5G parameters and the multiple indoor 4G coverage data, predict the indoor 5G coverage data corresponding to each indoor 4G coverage data, including: If the target indoor cell is determined to be the outdoor 5G-coverable cell, the indoor 5G coverage data corresponding to each indoor 4G coverage data is predicted based on the indoor 5G parameters and the multiple indoor 4G coverage data.

8. The method according to claim 7, characterized in that, The method further includes: If the target indoor cell is determined to be a cell with no outdoor 5G coverage, an indoor 5G coverage evaluation result for the target indoor cell is generated based on the service demand type of the target indoor cell.

9. A device for evaluating the value of indoor 5G coverage, characterized in that, include: The data acquisition module is used to acquire multiple outdoor 5G coverage data and multiple indoor 4G coverage data of the target indoor cell; The data prediction module is used to predict the indoor 5G coverage data corresponding to each of the indoor 4G coverage data based on the indoor 5G parameters and the multiple indoor 4G coverage data. The isolation degree determination module is used to determine multiple interference isolation degrees and the proportion of indoor 5G coverage data corresponding to each interference isolation degree based on the multiple outdoor 5G coverage data and the multiple indoor 5G coverage data. The performance degradation determination module is used to determine the indoor 5G performance degradation ratio corresponding to each interference isolation degree based on the data transmission rate of the multiple interference isolation degrees under 5G indoor and outdoor co-frequency interference. The coverage evaluation module is used to determine the indoor 5G coverage evaluation result corresponding to the target indoor cell based on the proportion of indoor 5G coverage data corresponding to the multiple interference isolation degrees and the proportion of indoor 5G performance attenuation.

10. A terminal device, characterized in that, The device includes: a processor and a memory storing computer program instructions; When the processor executes the computer program instructions, it implements the evaluation method for indoor 5G coverage as described in any one of claims 1-8.

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