5g coverage optimization method based on 4g positioning data, network device and storage medium
By utilizing MDT and MR data from 4G networks and combining them with GPS information, the optimal master control cell and coverage scenarios are determined. By traversing the combinations of coverage parameter changes, the problems of low efficiency and difficulty in evaluating deep coverage in traditional radio frequency optimization are solved, thus achieving efficient and accurate optimization of 5G networks.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHINA MOBILE GROUP ZHEJIANG
- Filing Date
- 2021-08-26
- Publication Date
- 2026-07-10
AI Technical Summary
Traditional RF optimization is costly and inefficient in network optimization, relies heavily on engineer skills, cannot fully assess deep coverage issues, makes it difficult to guarantee optimization results, and is also costly.
By acquiring the minimum road test (MDT) data and measurement report (MR) data of the 4G network reported by the terminal device, and combining it with GPS information, the optimal master control cell and coverage scenario are determined. By traversing the combination of coverage parameter changes with different weights, the coverage parameter with positive gain and maximum value is selected as the recommended 5G coverage parameter.
It enables precise and efficient templated configuration of 5G networks, reduces optimization costs, improves optimization efficiency, reduces reliance on engineer skills, can predict optimization results, and comprehensively assesses network depth coverage.
Smart Images
Figure CN115734243B_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of information security, and in particular to a 5G coverage optimization method, network device and storage medium based on 4G positioning data. Background Technology
[0002] Traditional network optimization is a challenging task. Traditional RF (Radio Frequency) optimization is limited by factors such as personnel capabilities and technical means, and mainly suffers from the following problems:
[0003] The traditional testing and optimization process requires a test engineer, an analysis engineer, a vehicle, and a tower crane operator. It involves large investments, low efficiency, and repeated site visits. Moreover, it requires repeated testing and verification, fine-tuning, slow optimization progress, and extremely high optimization costs. Summary of the Invention
[0004] This application provides a 5G coverage optimization method, network device, and storage medium based on 4G positioning data, which can be used for precise and efficient templated configuration according to different scenarios, which is convenient and fast, so as to realize the maximum value of 5G network.
[0005] The first aspect of this application provides a 5G coverage optimization method based on 4G positioning data, which may include:
[0006] Obtain minimum road test (MDT) data of the current 4G network reported by the terminal device, and / or measurement report (MR) data, wherein the MDT data includes GPS information;
[0007] Based on the MDT data and / or the MR data from the measurement report, the optimal primary control cell is determined;
[0008] Based on the optimal main control cell and building map, determine the corresponding current coverage scene;
[0009] Iterate through the mode weights in the current coverage scenario and record the values of different combinations of coverage parameter changes corresponding to this adjustment.
[0010] Among the combinations of coverage parameter variations, the coverage parameter with a positive gain and the maximum value is selected as the recommended 5G coverage parameter.
[0011] Optionally, determining the optimal primary control cell based on the MDT data and / or the Measurement Report (MR) data includes:
[0012] Based on the MDT data and / or the MR data, cells at a specific location are arranged according to signal strength, and the reference signal received power and frequency information of the primary serving cell and neighboring cells at the specific location are recorded.
[0013] The cell corresponding to the strongest received signal code power is determined as the optimal master control cell; or,
[0014] If the number of co-frequency cells with a power level lower than the strongest received signal code power by a first power threshold is less than a second quantity threshold, then the cell corresponding to the strongest received signal code power is determined to be the optimal master control cell.
[0015] Optionally, the step of traversing the mode weights under the current coverage scenario and recording the values of different combinations of coverage parameter changes corresponding to this adjustment includes:
[0016] Following the priority order of adjusting coverage scene, azimuth, downtilt angle, and power, the mode weights under the current coverage scene are traversed, and the values of the coverage parameter changes corresponding to different weights are recorded.
[0017] Optionally, the method further includes:
[0018] If the value of the combination of coverage parameter changes corresponding to different weights in this adjustment is less than or equal to 0, then according to the priority order of adjustment of coverage scenario, azimuth, downtilt angle and power, the mode weights under the current coverage scenario are traversed, and the value of the combination of coverage parameter changes corresponding to different weights in the next adjustment is recorded.
[0019] Optionally, the combination of coverage parameter changes includes: an improvement in average reference signal received power (RSRP), an improvement in coverage rate, an improvement in average co-channel overlap coverage, and an improvement in average channel quality indicator (CQI) being less than a first quality threshold.
[0020] Optionally, the improvement value of the average reference signal received power (RSRP) is determined based on the average RSRP before cell adjustment and the average RSRP after adjustment;
[0021] The coverage improvement value is determined based on the coverage rate before and after the cell adjustment;
[0022] The improvement value of average co-frequency overlap coverage is determined based on the average co-frequency overlap coverage before cell adjustment and the average co-frequency overlap coverage after adjustment;
[0023] The improvement value of the average channel quality indicator (CQI) being less than the first quality threshold is determined based on the CQI before cell adjustment and the CQI after adjustment.
[0024] Optionally, from the combinations of coverage parameter variations, the coverage parameter corresponding to the positive gain and maximum value is selected as the recommended 5G coverage parameter, including:
[0025] In the values of the coverage parameter change combinations, the values of each coverage parameter change combination are calculated according to the different weights corresponding to the average reference signal received power (RSRP) improvement value, coverage improvement value, average co-frequency overlap coverage improvement value, and average channel quality indication (CQI) improvement value that are less than the first quality threshold.
[0026] Based on the values of each combination of coverage parameter variations, the coverage parameter corresponding to the positive gain and the maximum value is selected as the recommended 5G coverage parameter.
[0027] A second aspect of this application provides a user terminal, which may include:
[0028] The acquisition module is used to acquire Minimum Drive Test (MDT) data of the current 4G network reported by the terminal device, and / or Measurement Report (MR) data, wherein the MDT data includes Global Positioning System (GPS) information;
[0029] The processing module is used to determine the optimal master cell based on the MDT data and / or the measurement report MR data; determine the corresponding current coverage scenario based on the optimal master cell and the building map; traverse the mode weights under the current coverage scenario and record the values of the coverage parameter change combinations corresponding to different weights in this adjustment; and select the coverage parameter with positive gain and the maximum value from the values of the coverage parameter change combinations as the recommended 5G coverage parameter.
[0030] Optionally, the processing module is specifically configured to, based on the MDT data and / or the Measurement Report (MR) data, rank cells at a specific location according to signal strength, record the reference signal received power and frequency information of the primary serving cell and neighboring cells at the specific location; determine the cell corresponding to the strongest received signal code power as the optimal primary control cell; or, if the number of co-frequency cells within a first power threshold lower than the strongest received signal code power is less than a second quantity threshold, then determine the cell corresponding to the strongest received signal code power as the optimal primary control cell.
[0031] Optionally, the processing module is specifically used to traverse the mode weights under the current coverage scenario according to the priority order of adjusting the coverage scenario, azimuth angle, downtilt angle, and power, and record the values of the coverage parameter changes corresponding to different weights in this adjustment.
[0032] Optionally, the processing module is further configured to, if the value of the combination of coverage parameter changes corresponding to different weights in this adjustment is less than or equal to 0, then, according to the priority order of adjusting coverage scenario, azimuth angle, downtilt angle, and power, traverse the mode weights under the current coverage scenario and record the value of the combination of coverage parameter changes corresponding to different weights in the next adjustment.
[0033] Optionally, the combination of coverage parameter changes includes: an improvement in average reference signal received power (RSRP), an improvement in coverage rate, an improvement in average co-channel overlap coverage, and an improvement in average channel quality indicator (CQI) being less than a first quality threshold.
[0034] Optionally, the improvement value of the average reference signal received power (RSRP) is determined based on the average RSRP before cell adjustment and the average RSRP after adjustment;
[0035] The coverage improvement value is determined based on the coverage rate before and after the cell adjustment;
[0036] The improvement value of average co-frequency overlap coverage is determined based on the average co-frequency overlap coverage before cell adjustment and the average co-frequency overlap coverage after adjustment;
[0037] The improvement value of the average channel quality indicator (CQI) being less than the first quality threshold is determined based on the CQI before cell adjustment and the CQI after adjustment.
[0038] Optionally, the processing module is specifically used to calculate the value of each coverage parameter change combination based on different weights corresponding to the average reference signal received power (RSRP) improvement value, coverage improvement value, average co-frequency overlap coverage improvement value, and average channel quality indicator (CQI) improvement value that are less than a first quality threshold; and to select the coverage parameter with positive gain and the maximum value from the values of each coverage parameter change combination as the recommended 5G coverage parameter.
[0039] A third aspect of this application provides a network device that may include:
[0040] Memory containing executable program code;
[0041] A processor coupled to the memory;
[0042] The memory is used to store executable program code;
[0043] The processor calls the executable program code stored in the memory for the processor to execute the method as described in the first aspect of this application.
[0044] In another aspect, this application provides a computer-readable storage medium storing at least one executable instruction that, when executed on a computing device, causes the computing device to perform the method described in the first aspect of this application.
[0045] Another aspect of the present invention discloses a computer program product that, when run on a computer, causes the computer to perform the method described in the first aspect of this application.
[0046] Another aspect of the present invention discloses an application publishing platform for publishing computer program products, wherein when the computer program products are run on a computer, the computer executes the method described in the first aspect of this application.
[0047] As can be seen from the above technical solutions, the embodiments of this application have the following advantages:
[0048] In this embodiment, the process involves acquiring Minimum Drive Test (MDT) data and / or Measurement Report (MR) data of the current 4G network reported by the terminal device. The MDT data includes GPS information. Based on the MDT data and / or the MR data, the optimal controlling cell is determined. Based on the optimal controlling cell and building maps, the corresponding current coverage scenario is determined. The pattern weights under the current coverage scenario are traversed, and the values of different combinations of coverage parameter changes corresponding to this adjustment are recorded. Among the values of the coverage parameter change combinations, the coverage parameter with positive gain and the maximum value is selected as the recommended 5G coverage parameter. By using MDT data and / or MR data, building associations, and a pattern experience base, the parameters are traversed and optimized, and the coverage results are recorded. Precise and efficient templated configuration is performed according to different scenarios, which is convenient and fast, maximizing the value of the 5G network.
[0049] The above description is merely an overview of the technical solutions of the embodiments of the present invention. In order to better understand the technical means of the embodiments of the present invention and to implement them in accordance with the contents of the specification, and to make the above and other objects, features and advantages of the embodiments of the present invention more apparent and understandable, specific embodiments of the present invention are described below. Attached Figure Description
[0050] The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:
[0051] Figure 1 This is a schematic diagram of an embodiment of the 5G coverage optimization method based on 4G network positioning data in this application.
[0052] Figure 2A This is a schematic diagram illustrating the calculation of the optimal controlling cell in an embodiment of this application;
[0053] Figure 2B This is a schematic diagram illustrating the adjustment of different combinations of coverage parameters corresponding to different weights in an embodiment of this application;
[0054] Figure 3 This is a schematic diagram of one embodiment of the network device in this application;
[0055] Figure 4 The diagram shown is a schematic diagram of another embodiment of the network device in this application. Detailed Implementation
[0056] This application provides a 5G coverage optimization method, network device, and storage medium based on 4G positioning data, which can be used for precise and efficient templated configuration according to different scenarios, which is convenient and fast, so as to realize the maximum value of 5G network.
[0057] To enable those skilled in the art to better understand the present application, the technical solutions of the embodiments of the present application will be described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. All embodiments based on the present application should fall within the scope of protection of the present application.
[0058] Traditional network optimization is a challenging task. Traditional RF (Radio Frequency) optimization is limited by factors such as personnel capabilities and technical means, and mainly suffers from the following three major problems:
[0059] Problem 1: High investment, low efficiency, and repeated site visits are required. Traditional testing and optimization processes require a test engineer, an analysis engineer, a vehicle operator, and a tower crane operator. Moreover, repeated testing and verification, fine-tuning, slow optimization progress, and extremely high optimization costs are necessary.
[0060] Question 2: The effectiveness of network optimization is difficult to guarantee. The effectiveness of network optimization depends on the optimization ability of engineers. The technical level of optimization personnel directly affects the optimization adjustment effect and the optimization progress. At present, the turnover rate of optimization personnel is high, and their technical level varies, making it difficult to control the optimization effect.
[0061] Question 3: Deep coverage issues are difficult to pinpoint. Traditional coverage testing methods are limited by area and time, making it impossible to comprehensively assess deep weak coverage. They only reflect surface conditions, limiting deep coverage optimization. There is a lack of accurate methods for locating deep weak coverage issues.
[0062] To address the problems of existing technologies, this application proposes a 5G coverage optimization method based on 4G network positioning data: utilizing MDT (Minimization of Drive-tests) data with high-precision location information. MDT is an automated drive-testing technology introduced by 3GPP (3rd Generation Partnership Project) in LTE (Long Term Evolution) and 3G systems, which collects and reports measurement data from ordinary users / commercial terminals through network configuration. Traditional RF optimization heavily relies on the skills of optimization engineers; optimization schemes vary from person to person, are highly random, cannot comprehensively consider all factors, and the optimization results are unpredictable, potentially leading to trade-offs and repeated optimizations failing to meet targets. MDT intelligent coverage optimization can comprehensively consider multiple factors. By inputting MR (Measurement Report) data with high-precision positioning information, it facilitates data correlation and positioning analysis. The automatic optimization method finds the optimal RF pattern parameter combination and can predict the optimization results, thereby achieving coverage optimization and improving network performance without the need for repeated on-site testing and verification, effectively reducing optimization costs. The solution is based on a holistic approach, incorporates established experience, does not rely on engineers' skills, has predictable optimization results, and significantly improves efficiency.
[0063] The technical solution of this application will be further described below by way of embodiments, such as... Figure 1 The diagram shown is a schematic representation of an embodiment of a 5G coverage optimization method based on 4G network positioning data in this application, which may include:
[0064] 101. Obtain the minimum drive test (MDT) data of the current 4G network reported by the terminal device, and / or measurement report (MR) data, wherein the MDT data includes GPS information.
[0065] For example, network devices acquire existing 4G MDT data. For instance, they enable the 4G base station's MDT function to acquire MDT data with high-precision GPS (Global Positioning System) positioning information, and / or MR data.
[0066] 102. Based on the MDT data and / or the MR data, determine the optimal primary control cell.
[0067] Optionally, determining the optimal primary control cell based on the MDT data and / or the Measurement Report (MR) data may include:
[0068] Based on the MDT data and / or the MR data, cells at a specific location are arranged according to signal strength, and the reference signal received power and frequency information of the primary serving cell and neighboring cells at the specific location are recorded.
[0069] The cell corresponding to the strongest Receive Signal Channel Power (RSCP) is determined as the optimal master cell; or,
[0070] If the number of co-frequency cells with a power level lower than the strongest received signal code power by a first power threshold is less than a second quantity threshold, then the cell corresponding to the strongest received signal code power is determined to be the optimal master control cell.
[0071] For example, the network device normalizes the sampling points of the acquired MDT data. For instance, based on the data uploaded by MDT+MR, it determines the site information around the UE (User Equipment) location and calculates the optimal controlling cell.
[0072] like Figure 2A The diagram shown is a schematic representation of calculating the optimal controlling cell in an embodiment of this application. The determination of the optimal controlling cell is as follows:
[0073] Based on MR data and MDT data, cells at a specific location are arranged in reverse order of signal strength, and the RSRP (Reference Signal Receiving Power) and frequency information of the primary serving cell and neighboring cells at that location are recorded.
[0074] (1) Count the number of co-frequency cells within 6dB weaker than the strongest signal cell. If the number of co-frequency cells within 6dB is less than 3, then the strongest signal cell is the optimal master control cell.
[0075] (2) If the number of co-frequency cells within a 6dB difference is greater than or equal to 3, the SINR (Signal to Interference plus Noise Ratio) will be affected due to co-frequency overlapping coverage, and the cell is not the optimal master cell.
[0076] (3) Select other frequency points that are within 6dB weaker than the strongest cell and re-evaluate them using the above method;
[0077] (4) If there is no cell that meets the conditions, the cell with the strongest signal at that location is the optimal master cell.
[0078] 103. Based on the optimal main control cell and building map, determine the corresponding current coverage scene.
[0079] For example, based on a high-precision building map, feature matching and feature association are performed. The current coverage scene of this MDT data is output.
[0080] 104. Traverse the mode weights under the current coverage scenario and record the values of the coverage parameter changes for different weight combinations corresponding to this adjustment.
[0081] Optionally, the step of traversing the mode weights under the current coverage scenario and recording the values of different combinations of coverage parameter changes corresponding to this adjustment may include: traversing the mode weights under the current coverage scenario according to the priority order of adjusting coverage scenario, azimuth, downtilt angle, and power, and recording the values of different combinations of coverage parameter changes corresponding to this adjustment.
[0082] Optionally, the combination of coverage parameter changes includes: an improvement in average reference signal received power (RSRP), an improvement in coverage rate, an improvement in average co-channel overlap coverage, and an improvement in average channel quality indicator (CQI) being less than a first quality threshold.
[0083] Optionally, the improvement value of the average reference signal received power (RSRP) is determined based on the average RSRP before cell adjustment and the average RSRP after adjustment;
[0084] The coverage improvement value is determined based on the coverage rate before and after the cell adjustment;
[0085] The improvement value of average co-frequency overlap coverage is determined based on the average co-frequency overlap coverage before cell adjustment and the average co-frequency overlap coverage after adjustment;
[0086] The improvement value of the average channel quality indicator (CQI) being less than the first quality threshold is determined based on the CQI before cell adjustment and the CQI after adjustment.
[0087] Optionally, the method further includes:
[0088] If the value of the combination of coverage parameter changes corresponding to different weights in this adjustment is less than or equal to 0, then according to the priority order of adjustment of coverage scenario, azimuth, downtilt angle and power, the mode weights under the current coverage scenario are traversed, and the value of the combination of coverage parameter changes corresponding to different weights in the next adjustment is recorded.
[0089] Since there are multiple overlapping sites around the UE, the impact of each adjustment scheme on the problem site and the overall quality is evaluated by gradually traversing and fine-tuning the parameters such as "coverage scenario, azimuth angle, downtilt angle, and power" of the cells around the problem point, and by considering multiple dimensions such as coverage and quality from MDT data and / or MR data.
[0090] 105. Among the combined values of the coverage parameter variations, select the coverage parameter with a positive gain and the maximum value as the recommended 5G coverage parameter.
[0091] Optionally, selecting the coverage parameter with positive gain and maximum value from the values of the coverage parameter variation combinations as the recommended 5G coverage parameter may include: calculating the value of each coverage parameter variation combination based on different weights corresponding to the average reference signal received power (RSRP) improvement value, coverage improvement value, average co-frequency overlap coverage improvement value, and average channel quality indicator (CQI) improvement value that is less than a first quality threshold; and selecting the coverage parameter with positive gain and maximum value from the values of each coverage parameter variation combination as the recommended 5G coverage parameter.
[0092] like Figure 2B The diagram shown illustrates a combination of changes in coverage parameters corresponding to different weights in an embodiment of this application. The evaluation scheme is as follows:
[0093] The following four indicators were compared before and after the adjustment of the cells surrounding the problem point: (A) average RSRP value, (B) coverage with RSRP greater than or equal to -110, (C) co-frequency overlapping coverage, and (D) proportion of low CQI (the proportion of CQI less than 6 among all CQI (Channel Quality Indicator) sampling points). The evaluation method is as follows based on the different proportions of each indicator:
[0094] The average RSRP improvement value is calculated based on the average RSRP of each cell before and after adjustment, as recorded in MR and MDT. The average RSRP improvement value = (average RSRP after cell adjustment - RSRP before cell adjustment) / 0.25dB.
[0095] Coverage improvement value = (Coverage after cell adjustment - Coverage before cell adjustment) * 100 / 0.05;
[0096] Average co-frequency overlap coverage improvement value = (Average co-frequency overlap coverage after cell adjustment - Average co-frequency overlap coverage before cell adjustment) * 100 / 0.025;
[0097] Improvement in average low CQI percentage = (Average low CQI percentage after cell adjustment - Average low CQI percentage before cell adjustment) * 100 / 0.1.
[0098]
[0099] Table 1
[0100] The improvement of the above four indicators is evaluated for each cell before and after the adjustment according to different weights. If the sum of the improvement values of all cells after the adjustment is greater than 0, it means that the adjustment is positive and effective. The adjustment and optimization records and results are recorded in Table 1, and the optimal coverage scenario, azimuth angle, downtilt angle and power parameters are output.
[0101] Optimal coverage scenario:
[0102] For example, following the priority order of "coverage scene, azimuth angle, downtilt angle, and power", the cells around the problem point are adjusted by a certain margin. The improvement of all cells before and after each adjustment is compared. If the improvement of all cells after this adjustment is greater than 5%, the adjustment record is retained, and the parameters of this adjustment are adjusted again and evaluated. If the improvement of all cells after this adjustment is less than or equal to 0, the record of the previous adjustment is returned, and the next adjustment is performed according to priority. When all parameters have been adjusted within the allowable range and the improvement of two consecutive adjustments is less than 1%, the adjustment record of the last positive adjustment is output as the optimal solution.
[0103] One key aspect of this invention is its reliance on actual user data: terminals report wireless air interface levels, user neighboring cells, GPS location, and other information, while all performance statistics are obtained from the OSS (Operation Support Systems) domain. Secondly, it utilizes high-precision maps for feature matching and feature association. Outputs are road matching and outdoor assessments based on high-precision MR (Mapping Map). Through MDT+MR, performance indicators, building association, and a pattern experience base, parameters are optimized and adjusted, coverage results are recorded, and engineer analysis and corrections are performed to output an optimized solution. This method should be protected.
[0104] 4G 8T8R is a static broadcast beam, and the mechanical downtilt angle and mechanical azimuth angle can only be optimized through hard adjustments. However, 5G Massive MIMO (Massive Multiple-in Multiple-out) has dynamically adjustable horizontal and vertical beamwidth, downtilt angle and azimuth angle, and dynamic scanning of horizontal and vertical beams. This means that there are more than 10,000 possible combinations of beam pattern parameters, which can be precisely and efficiently templated for different scenarios, making it convenient and fast to realize the maximum value of 5G networks.
[0105] In this embodiment, the process involves acquiring Minimum Drive Test (MDT) data and / or Measurement Report (MR) data of the current 4G network reported by the terminal device. The MDT data includes GPS information. Based on the MDT data and / or the MR data, the optimal controlling cell is determined. Based on the optimal controlling cell and building maps, the corresponding current coverage scenario is determined. The pattern weights under the current coverage scenario are traversed, and the values of different combinations of coverage parameter changes corresponding to this adjustment are recorded. Among the values of the coverage parameter change combinations, the coverage parameter with positive gain and the maximum value is selected as the recommended 5G coverage parameter. By using MDT data and / or MR data, building associations, and a pattern experience base, the parameters are traversed and optimized, and the coverage results are recorded. Precise and efficient templated configuration is performed according to different scenarios, which is convenient and fast, maximizing the value of the 5G network.
[0106] like Figure 3 The diagram shown is a schematic representation of an embodiment of a network device in this application, which may include:
[0107] The acquisition module 301 is used to acquire the minimum drive test (MDT) data of the current 4G network reported by the terminal device, and / or measurement report (MR) data, wherein the MDT data includes global positioning system (GPS) information;
[0108] Processing module 302 is configured to determine the optimal primary control cell based on the MDT data and / or the measurement report MR data; determine the corresponding current coverage scenario based on the optimal primary control cell and the building map; traverse the mode weights under the current coverage scenario and record the values of the coverage parameter change combinations corresponding to different weights in this adjustment; and select the coverage parameter with positive gain and the maximum value from the values of the coverage parameter change combinations as the recommended 5G coverage parameter.
[0109] Optionally, the processing module 302 is specifically configured to, based on the MDT data and / or the Measurement Report (MR) data, rank cells at a specific location according to signal strength, record the reference signal received power and frequency information of the primary serving cell and neighboring cells at the specific location; determine the cell corresponding to the strongest received signal code power as the optimal primary control cell; or, if the number of co-frequency cells within a first power threshold lower than the strongest received signal code power is less than a second quantity threshold, then determine the cell corresponding to the strongest received signal code power as the optimal primary control cell.
[0110] Optionally, the processing module 302 is specifically used to traverse the mode weights under the current coverage scenario according to the priority order of adjusting the coverage scenario, azimuth angle, downtilt angle, and power, and record the values of the coverage parameter change combinations corresponding to different weights in this adjustment.
[0111] Optionally, the processing module 302 is further configured to, if the value of the combination of coverage parameter changes corresponding to different weights in this adjustment is less than or equal to 0, then, according to the priority order of adjusting coverage scenario, azimuth angle, downtilt angle, and power, traverse the mode weights under the current coverage scenario and record the value of the combination of coverage parameter changes corresponding to different weights in the next adjustment.
[0112] Optionally, the combination of coverage parameter changes includes: an improvement in average reference signal received power (RSRP), an improvement in coverage rate, an improvement in average co-channel overlap coverage, and an improvement in average channel quality indicator (CQI) being less than a first quality threshold.
[0113] Optionally, the improvement value of the average reference signal received power (RSRP) is determined based on the average RSRP before cell adjustment and the average RSRP after adjustment;
[0114] The coverage improvement value is determined based on the coverage rate before and after the cell adjustment;
[0115] The improvement value of average co-frequency overlap coverage is determined based on the average co-frequency overlap coverage before cell adjustment and the average co-frequency overlap coverage after adjustment;
[0116] The improvement value of the average channel quality indicator (CQI) being less than the first quality threshold is determined based on the CQI before cell adjustment and the CQI after adjustment.
[0117] Optionally, the processing module 302 is specifically used to calculate the value of each coverage parameter change combination based on different weights corresponding to the average reference signal received power (RSRP) improvement value, coverage improvement value, average co-frequency overlap coverage improvement value, and average channel quality indicator (CQI) improvement value that are less than a first quality threshold; and to select the coverage parameter with positive gain and the maximum value from the values of each coverage parameter change combination as the recommended 5G coverage parameter.
[0118] like Figure 4 The diagram shown is a schematic representation of another embodiment of the network device in this application, which may include:
[0119] Memory 401 storing executable program code;
[0120] Processor 402 and transceiver 403 are coupled to memory 401;
[0121] Memory 401 is used to store executable program code;
[0122] The processor 402 calls the executable program code stored in the memory 401 to obtain the minimum drive test (MDT) data and / or measurement report (MR) data of the current 4G network reported by the terminal device, wherein the MDT data includes GPS information; based on the MDT data and / or the MR data, the optimal controlling cell is determined; based on the optimal controlling cell and the building map, the corresponding current coverage scenario is determined; the mode weights under the current coverage scenario are traversed, and the values of the coverage parameter change combinations corresponding to different weights are recorded; among the values of the coverage parameter change combinations, the coverage parameter corresponding to the positive gain and the maximum value is selected as the recommended 5G coverage parameter.
[0123] Optionally, the processor 402 is specifically configured to, based on the MDT data and / or the Measurement Report (MR) data, rank cells at a specific location according to signal strength, record the reference signal received power and frequency information of the primary serving cell and neighboring cells at the specific location; determine the cell corresponding to the strongest received signal code power as the optimal primary control cell; or, if the number of co-frequency cells within a first power threshold lower than the strongest received signal code power is less than a second quantity threshold, then determine the cell corresponding to the strongest received signal code power as the optimal primary control cell.
[0124] Optionally, the processor 402 is specifically used to traverse the mode weights under the current coverage scene according to the priority order of adjusting the coverage scene, azimuth angle, downtilt angle, and power, and record the values of the coverage parameter change combinations corresponding to different weights in this adjustment.
[0125] Optionally, the processor 402 is further configured to, if the value of the combination of coverage parameter changes corresponding to different weights in this adjustment is less than or equal to 0, then, according to the priority order of adjusting coverage scenario, azimuth angle, downtilt angle, and power, traverse the mode weights under the current coverage scenario and record the value of the combination of coverage parameter changes corresponding to different weights in the next adjustment.
[0126] Optionally, the combination of coverage parameter changes includes: an improvement in average reference signal received power (RSRP), an improvement in coverage rate, an improvement in average co-channel overlap coverage, and an improvement in average channel quality indicator (CQI) being less than a first quality threshold.
[0127] Optionally, the improvement value of the average reference signal received power (RSRP) is determined based on the average RSRP before cell adjustment and the average RSRP after adjustment;
[0128] The coverage improvement value is determined based on the coverage rate before and after the cell adjustment;
[0129] The improvement value of average co-frequency overlap coverage is determined based on the average co-frequency overlap coverage before cell adjustment and the average co-frequency overlap coverage after adjustment;
[0130] The improvement value of the average channel quality indicator (CQI) being less than the first quality threshold is determined based on the CQI before cell adjustment and the CQI after adjustment.
[0131] Optionally, the processor 402 is specifically configured to calculate the value of each coverage parameter change combination based on different weights corresponding to the average reference signal received power (RSRP) improvement value, coverage improvement value, average co-frequency overlap coverage improvement value, and average channel quality indicator (CQI) improvement value that are less than a first quality threshold; and select the coverage parameter with positive gain and the maximum value from the values of each coverage parameter change combination as the recommended 5G coverage parameter.
[0132] The present invention also provides a computer-readable storage medium storing at least one executable instruction, which, when executed on a computing device, causes the computing device to perform the 5G coverage optimization method based on 4G network positioning data as described in any of the above embodiments.
[0133] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented in software, it can be implemented, in whole or in part, as a computer program product.
[0134] The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of the present invention are generated. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line, DSL) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium may be any available medium that a computer can store or a data storage device such as a server or data center that integrates one or more available media. The available medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid-state disk, SSD), etc.
[0135] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.
[0136] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection between apparatuses or units through some interfaces, and may be electrical, mechanical, or other forms.
[0137] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.
[0138] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.
[0139] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.
[0140] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.
Claims
1. A 5G coverage optimization method based on 4G network positioning data, characterized in that, include: Obtain minimum road test (MDT) data of the current 4G network reported by the terminal device, and / or measurement report (MR) data, wherein the MDT data includes GPS information; Based on the MDT data and / or the MR data from the measurement report, the optimal primary control cell is determined; Based on the optimal main control cell and building map, determine the corresponding current coverage scene; Following the priority order of adjusting coverage scenario, azimuth, downtilt angle, and power, the mode weights under the current coverage scenario are traversed, and the values of coverage parameter change combinations corresponding to different weights for this adjustment are recorded. These coverage parameter change combinations include: average reference signal received power (RSRP) improvement value, coverage improvement value, average co-channel overlap coverage improvement value, and improvement value for average channel quality indicator (CQI) being less than a first quality threshold. Based on the different weights corresponding to the average reference signal received power (RSRP), coverage improvement value, average co-channel overlap coverage improvement value, and average channel quality indicator (CQI) being less than the first quality threshold, the value of each coverage parameter change combination is calculated. The improvement value of average reference signal received power (RSRP) is determined based on the average RSRP before cell adjustment and the average RSRP after adjustment; the improvement value of coverage is determined based on the coverage before cell adjustment and the coverage after adjustment; the improvement value of average co-channel overlap coverage is determined based on the average co-channel overlap coverage before cell adjustment and the average co-channel overlap coverage after adjustment; the improvement value of average channel quality indicator (CQI) being less than a first quality threshold is determined based on the CQI before cell adjustment and the CQI after adjustment. Among the values of each combination of coverage parameter variations, the coverage parameter corresponding to the positive gain and the maximum value is selected as the recommended 5G coverage parameter.
2. The method according to claim 1, characterized in that, The step of determining the optimal primary control cell based on the MDT data and / or the Measurement Report (MR) data includes: Based on the MDT data and / or the MR data, cells at a specific location are arranged according to signal strength, and the reference signal received power and frequency information of the primary serving cell and neighboring cells at the specific location are recorded. The cell corresponding to the strongest received signal code power is determined as the optimal master cell; or, If the number of co-frequency cells with a power level lower than the strongest received signal code power by a first power threshold is less than a second quantity threshold, then the cell corresponding to the strongest received signal code power is determined to be the optimal master control cell.
3. The method according to claim 1, characterized in that, The method further includes: If the value of the combination of coverage parameter changes corresponding to different weights in this adjustment is less than or equal to 0, then according to the priority order of adjustment of coverage scenario, azimuth, downtilt angle and power, the mode weights under the current coverage scenario are traversed, and the value of the combination of coverage parameter changes corresponding to different weights in the next adjustment is recorded.
4. A network device, characterized in that, include: The acquisition module is used to acquire Minimum Drive Test (MDT) data of the current 4G network reported by the terminal device, and / or Measurement Report (MR) data, wherein the MDT data includes Global Positioning System (GPS) information; The processing module is configured to: determine the optimal primary control cell based on the MDT data and / or the MR data from the measurement report; determine the corresponding current coverage scenario based on the optimal primary control cell and the building map; traverse the mode weights under the current coverage scenario according to the priority order of adjusting coverage scenario, azimuth angle, downtilt angle, and power, and record the values of different combinations of coverage parameter changes corresponding to this adjustment; and select the coverage parameter with positive gain and the maximum value from the values of the combinations of coverage parameter changes as the recommended 5G coverage parameters. The combination of coverage parameter changes includes: an improvement in average received reference power (RSRP), an improvement in coverage rate, an improvement in average co-channel overlap coverage, and an improvement in average channel quality indicator (CQI) being less than a first quality threshold. The improvement in average received reference power (RSRP) is determined based on the average RSRP before and after cell adjustment. The improvement in coverage rate is determined based on the coverage rate before and after cell adjustment. The improvement in average co-channel overlap coverage is determined based on the average co-channel overlap coverage before and after cell adjustment. The improvement in average channel quality indicator (CQI) being less than the first quality threshold is determined based on the CQI before and after cell adjustment. The processing module is also used to: calculate the value of each combination of coverage parameter changes based on the different weights corresponding to the average reference signal received power (RSRP) improvement value, coverage improvement value, average co-frequency overlap coverage improvement value, and average channel quality indicator (CQI) improvement value that are less than a first quality threshold.
5. A network device, characterized in that, include: Memory containing executable program code; A processor coupled to the memory; The memory is used to store executable program code; The processor calls the executable program code stored in the memory for the processor to execute the method as described in any one of claims 1-3.
6. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores at least one executable instruction, which, when executed on the signal processing system, causes the signal processing system to perform the method as described in any one of claims 1-3.