Cell data processing method, device, computing equipment and computer storage medium

Abstract

The present invention discloses a cell data processing method, apparatus, computing device and computer storage medium. The method includes: calculating the first critical path loss and the second critical path loss of the QPSK modulation mode in the target cell; calculating the first coverage distance corresponding to the first critical path loss, and calculating the second coverage distance corresponding to the second critical path loss; calculating the ideal proportion of the QPSK modulation mode in the target cell according to the first coverage distance and the second coverage distance; obtaining the actual proportion of the QPSK modulation mode in the target cell; judging whether the actual proportion of the QPSK modulation mode is greater than the ideal proportion of the QPSK modulation mode; if so, determining that the target cell is a cell whose modulation mode is to be optimized. This solution can achieve cell load reduction without increasing bandwidth resources and changing the cell coverage range, thereby having the characteristics of high efficiency, low cost and no impact on the service performance of adjacent cells, and is suitable for large-scale application and implementation.

Description

Technical Field

[0001] The present invention relates to the field of communication technology, and in particular to a cell data processing method, apparatus, computing device, and computer storage medium. Background Art

[0002] In mobile communication networks, high cell load can severely impact user experience. Existing technologies typically address this by expanding carrier capacity or reducing coverage. Carrier expansion addresses high cell load by increasing system capacity by co-directionally expanding dual carriers or adding hardware resources. Coverage reduction, on the other hand, addresses high cell load by reducing the cell's coverage area through parameter or antenna adjustments.

[0003] However, during the implementation process, the inventors found that the existing technology has the following defects: carrier expansion requires additional bandwidth resources, carrier license resources and / or human resources, etc., which leads to high costs and low efficiency; and shrinking the coverage range will increase the load on adjacent cells and reduce the service performance of adjacent cells. Summary of the Invention

[0004] In view of the above problems, the present invention is proposed to provide a cell data processing method, apparatus, computing device, and computer storage medium that overcome the above problems or at least partially solve the above problems.

[0005] According to one aspect of the present invention, a cell data processing method is provided, comprising:

[0006] Calculate a first critical path loss and a second critical path loss of a QPSK modulation mode in a target cell;

[0007] Calculating a first coverage distance corresponding to the first critical path loss, and calculating a second coverage distance corresponding to the second critical path loss;

[0008] Calculating an ideal proportion of the QPSK modulation mode in the target cell according to the first coverage distance and the second coverage distance;

[0009] Obtaining an actual proportion of the QPSK modulation mode in the target cell;

[0010] Determine whether the actual proportion of the QPSK modulation mode is greater than the ideal proportion of the QPSK modulation mode; if so, determine that the target cell is a cell whose modulation mode is to be optimized.

[0011] In an optional implementation manner, calculating the first critical path loss and the second critical path loss of the QPSK modulation mode in the target cell further includes:

[0012] Determine a first critical value and a second critical value of the SINR corresponding to the QPSK modulation mode according to a mapping relationship between the QPSK modulation mode and the SINR;

[0013] The first critical path loss is calculated according to the first critical value, and the second critical path loss is calculated according to the second critical value.

[0014] In an optional implementation, the calculating the first critical path loss according to the first critical value, and the calculating the second critical path loss according to the second critical value further include:

[0015] The first critical path loss is calculated according to the first critical value and a link budget parameter, and the second critical path loss is calculated according to the second critical value and a link preset parameter.

[0016] In an optional implementation, the calculating the first coverage distance corresponding to the first critical path loss and the calculating the second coverage distance corresponding to the second critical path loss further include:

[0017] Determining a target wireless propagation model corresponding to the target cell;

[0018] Based on the target wireless propagation model, a first coverage distance corresponding to the first critical path loss is calculated, and a second coverage distance corresponding to the second critical path loss is calculated.

[0019] In an optional implementation, determining the target radio propagation model corresponding to the target cell further includes:

[0020] A target wireless propagation model corresponding to the target cell is determined according to a base station height, a frequency band range, and / or a coverage scenario type corresponding to the target cell.

[0021] In an optional implementation, calculating the ideal proportion of the QPSK modulation mode in the target cell according to the first coverage distance and the second coverage distance further includes:

[0022] Calculate the ideal coverage area of ​​the QPSK modulation mode in the target cell according to the first coverage distance and the second coverage distance;

[0023] The ideal proportion of the QPSK modulation mode in the target cell is determined according to the ratio of the ideal coverage area of ​​the QPSK modulation mode in the target cell to the total coverage area of ​​the target cell, and a preset offset value.

[0024] In an optional implementation, after determining that the target cell is a cell whose modulation mode is to be optimized, the method further includes:

[0025] Converting the preset proportion of sampling points corresponding to the QPSK modulation mode in the target cell into a high-order modulation mode.

[0026] According to one aspect of the present invention, a cell data processing method is provided, comprising:

[0027] A loss calculation module, configured to calculate a first critical path loss and a second critical path loss of a QPSK modulation mode in a target cell;

[0028] a distance calculation module, configured to calculate a first coverage distance corresponding to the first critical path loss, and calculate a second coverage distance corresponding to the second critical path loss;

[0029] an ideal proportion calculation module, configured to calculate an ideal proportion of the QPSK modulation mode in the target cell according to the first coverage distance and the second coverage distance;

[0030] An actual proportion acquisition module, used to obtain the actual proportion of the QPSK modulation mode in the target cell;

[0031] The determination module is used to determine whether the actual proportion of the QPSK modulation mode is greater than the ideal proportion of the QPSK modulation mode; if so, determine that the target cell is a cell whose modulation mode is to be optimized.

[0032] In an optional embodiment, the loss calculation module is further configured to:

[0033] Determine a first critical value and a second critical value of the SINR corresponding to the QPSK modulation mode according to a mapping relationship between the QPSK modulation mode and the SINR;

[0034] The first critical path loss is calculated according to the first critical value, and the second critical path loss is calculated according to the second critical value.

[0035] In an optional embodiment, the loss calculation module is further configured to:

[0036] The first critical path loss is calculated according to the first critical value and a link budget parameter, and the second critical path loss is calculated according to the second critical value and a link preset parameter.

[0037] In an optional implementation, the distance calculation module is further configured to: determine a target wireless propagation model corresponding to the target cell;

[0038] Based on the target wireless propagation model, a first coverage distance corresponding to the first critical path loss is calculated, and a second coverage distance corresponding to the second critical path loss is calculated.

[0039] In an optional implementation, the distance calculation module is further used to determine a target wireless propagation model corresponding to the target cell based on a base station height, a frequency band range, and / or a coverage scenario type corresponding to the target cell.

[0040] In an optional implementation manner, the ideal proportion calculation module is further used to: calculate the ideal coverage area of ​​the QPSK modulation mode in the target cell according to the first coverage distance and the second coverage distance;

[0041] The ideal proportion of the QPSK modulation mode in the target cell is determined according to the ratio of the ideal coverage area of ​​the QPSK modulation mode in the target cell to the total coverage area of ​​the target cell, and a preset offset value.

[0042] In an optional embodiment, the device further includes: an adjustment module, configured to convert a preset proportion of sampling points corresponding to the QPSK modulation mode in the target cell into a high-order modulation mode after determining that the target cell is a cell whose modulation mode is to be optimized.

[0043] According to another aspect of the present invention, there is provided a computing device, comprising: a processor, a memory, a communication interface, and a communication bus, wherein the processor, the memory, and the communication interface communicate with each other via the communication bus;

[0044] The memory is used to store at least one executable instruction, and the executable instruction enables the processor to execute operations corresponding to the above-mentioned cell data processing method.

[0045] According to yet another aspect of the present invention, a computer storage medium is provided, wherein the storage medium stores at least one executable instruction, and the executable instruction enables a processor to execute operations corresponding to the above-mentioned cell data processing method.

[0046] The cell data processing method, apparatus, computing device, and computer storage medium disclosed in the present invention include the following steps: calculating a first critical path loss and a second critical path loss of the QPSK modulation mode in the target cell; calculating a first coverage distance corresponding to the first critical path loss, and calculating a second coverage distance corresponding to the second critical path loss; calculating an ideal proportion of the QPSK modulation mode in the target cell based on the first coverage distance and the second coverage distance; obtaining an actual proportion of the QPSK modulation mode in the target cell; determining whether the actual proportion of the QPSK modulation mode is greater than the ideal proportion of the QPSK modulation mode; and if so, determining that the target cell is a cell for which the modulation mode is to be optimized. This solution calculates the ideal proportion of the QPSK modulation mode in the target cell and compares the ideal proportion with the actual proportion to determine whether the target cell has an inflated load, that is, to determine whether the target cell is a cell for which the modulation mode is to be optimized. This facilitates reducing the load of the target cell by adjusting the modulation mode within the target cell. This solution can achieve cell load reduction without increasing bandwidth resources or changing the cell coverage range, thus having the characteristics of high efficiency, low cost, and no impact on the service performance of adjacent cells, making it suitable for large-scale application and implementation.

[0047] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are specifically listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Various other advantages and benefits will become apparent to those skilled in the art upon reading the detailed description of the preferred embodiment below. The accompanying drawings are for illustration purposes only and are not to be considered as limiting the present invention. The same reference symbols are used throughout the drawings to represent the same components. In the drawings:

[0049] Figure 1 A schematic diagram showing a flow chart of a cell data processing method provided by an embodiment of the present invention;

[0050] Figure 2 A schematic diagram of a process for calculating a first critical path loss and a second critical path loss provided by an embodiment of the present invention is shown;

[0051] Figure 3 A schematic diagram showing a first critical value and a second critical value provided by an embodiment of the present invention is shown;

[0052] Figure 4 A schematic diagram of a process for calculating a first coverage distance and a second coverage distance provided by an embodiment of the present invention is shown;

[0053] Figure 5 A schematic structural diagram of a cell data processing device provided by an embodiment of the present invention is shown;

[0054] Figure 6 A schematic structural diagram of a computing device provided by an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0055] Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present invention and to fully convey the scope of the present invention to those skilled in the art.

[0056] Figure 1 A schematic flow chart of a cell data processing method provided by an embodiment of the present invention is shown.

[0057] like Figure 1 As shown, the method includes the following steps:

[0058] Step S110 , calculating a first critical path loss and a second critical path loss of a QPSK modulation mode in a target cell.

[0059] Normally, the same service cell may include multiple modulation modes. The modulation modes may include: QPSK modulation mode, 16QAM modulation mode, and 64QAM modulation mode, etc. Among them, each modulation symbol in the QPSK (Quadrature Phase Shift Keying) modulation mode corresponds to 2 bits; each modulation symbol in the 16QAM (16 Quadrature Amplitude Modulation) modulation mode corresponds to 4 bits; each modulation symbol in the 64QAM (64 Quadrature Amplitude Modulation) modulation mode corresponds to 6 bits. Therefore, under the condition of carrying the same amount of information, the use of the QPSK modulation mode will occupy a higher number of service channels. When the proportion of the QPSK modulation mode in the service cell is too high, the service cell will have an artificially high load. Based on this, the embodiment of the present invention accurately evaluates the cell load according to the proportion of the QPSK modulation mode, so that the cell load can be reduced by adjusting the modulation mode within the cell.

[0060] Specifically, a target cell for load evaluation is first determined. This target cell can be any serving cell. In an optional embodiment, to quickly identify cells for modulation mode optimization, embodiments of the present invention can select target cells based on cell utilization and the number of connected user terminals. These target cells are initially selected as high-load cells. For example, cells whose utilization and / or connected user terminal data exceed a preset threshold can be selected as target cells.

[0061] Furthermore, the first critical path loss and the second critical path loss of the QPSK modulation mode in the target cell are calculated. In an optional embodiment, in order to accurately calculate the first critical path loss and the second critical path loss of the QPSK modulation mode in the target cell, the following method can be used: Figure 2 The steps shown calculate the first critical path loss and the second critical path loss. Figure 2 As shown, the method includes the following steps S111 to S113:

[0062] Step S111: Determine a first critical value and a second critical value of the SINR corresponding to the QPSK modulation mode according to a mapping relationship between the QPSK modulation mode and the SINR.

[0063] Specifically, according to the MCS (Modulation and Coding Scheme) mapping, the modulation mode of a cell's service channel is linearly related to the channel SINR value. The higher the channel SINR value, the higher the modulation order used. The 64QAM modulation mode is typically found in the near-end area of ​​the target cell, where wireless quality is relatively good. The 16QAM modulation mode is found in the middle of the cell, where wireless channel quality is medium. The QPSK modulation mode is primarily found in the far-end edge of the cell, where wireless channel quality is relatively poor.

[0064] Based on the correspondence between CQI and SINR, the SINR value at the boundary between the 16QAM modulation mode and the QPSK modulation mode is determined. This SINR value is the first critical value of the SINR corresponding to the QPSK modulation mode. As shown in Table 1, 3dB can be determined as the SINR value at the boundary between the 16QAM modulation mode and the QPSK modulation mode.

[0065] Table 1

[0066]

[0067]

[0068] The remote coverage edge of the base station of the target cell is the second critical value of SINR corresponding to the QPSK modulation mode. Figure 3 As shown in the figure, O is the base station of the target cell, the boundary between the 16QAM modulation mode and the QPSK modulation mode is Q1, and the remote coverage edge of the base station of the target cell is Q2. The SINR value corresponding to Q1 is the first critical value, and the SINR value corresponding to Q2 is the second critical value. The SINR value corresponding to Q1 is 3dB, and the SINR value corresponding to Q2 is 0dB.

[0069] Step S112: Acquire link budget parameters.

[0070] The link budget parameter may include at least one of the following parameters: cable loss, shadow fading margin, interference margin, penetration loss, and human body loss, etc.

[0071] In step S113 , a first critical path loss is calculated according to the first threshold and the link budget parameter, and a second critical path loss is calculated according to the second threshold and the link preset parameter.

[0072] A first critical path loss is calculated based on the first critical value, and a second critical path loss is calculated based on the second critical value. To improve the accuracy of the first critical path loss and the second critical path loss, this step specifically calculates the first critical path loss and the second critical path loss based on the first critical value and the second critical value obtained in step S111, in combination with the link budget parameter obtained in step S112. The first critical path loss and the second critical path loss are specifically downlink path losses.

[0073] Specifically, the first critical path loss and the second critical path loss can be calculated based on the base station antenna port transmit power, the boundary receive sensitivity corresponding to the first critical value, the boundary receive sensitivity corresponding to the second critical value, and the wireless link gain margin loss value. The first critical path loss and the second critical path loss can be calculated using the following formulas 1 and 2, respectively:

[0074] q1_path_los=eirp-q1_rece_sens-gain_margin_los (Formula 1)

[0075] q2_path_los=eirp-q2_rece_sens-gain_margin_los (Formula 2)

[0076] In Formula 1 and Formula 2, q1_path_los is the first critical path loss, q2_path_los is the second critical path loss, eirp is the base station antenna port transmit power, q1_rece_sens is the boundary receive sensitivity corresponding to the first critical value; q2_rece_sens is the boundary receive sensitivity corresponding to the second critical value; gain_margin_los is the wireless link gain margin loss value.

[0077] The base station antenna port transmit power can be obtained by the following formula 3:

[0078] eirp=tran_power+tran_ant_gain (formula 3)

[0079] In formula 3, eirp is the transmit power of the base station antenna port, tran_power is the transmit power of the transmitter, and tran_ant_gain is the transmit antenna gain.

[0080] The boundary receiving sensitivity corresponding to the first critical value and the boundary receiving sensitivity corresponding to the second critical value can be calculated by the following formula 4 and formula 5 respectively:

[0081] q1_rece_sens = rece_noise_figure + thermal_noise + q1_sinr (Formula 4)

[0082] q2_rece_sens=rece_noise_figure+thermal_noise+q2_sinr (Formula 5)

[0083] In Formula 4 and Formula 5, q1_rece_sens is the boundary receive sensitivity corresponding to the first critical value, q2-rece_sens is the boundary receive sensitivity corresponding to the second critical value, rece_noise_figure is the receiver noise figure, thermal_noise is the thermal noise, q1_sinr is the SINR value at the boundary corresponding to the first critical value, and q2-sinr is the SINR value at the boundary corresponding to the second critical value.

[0084] The wireless link gain margin loss value can be calculated using the following formula 6:

[0085] gain_margin_los=interfer_margin-rece_ant_gain+feeder_los+penet_los+body_los-tower_gain-tran_dive_gain+shadow_fading-dive_rece-gain-switc_gain (Formula 6)

[0086] In Formula 6, gain_margin_los is the wireless link gain margin loss value, interfer_margin is the interference margin, rece_ant_gain is the receiving antenna gain, feeder_los is the feeder loss value, penet_los is the penetration loss value, body_los is the human body loss value, tower_gain is the tower gain value, tran_dive_gain is the transmit diversity gain, shadow_fading is the shadow fading value, dive_rece_gain is the diversity receive gain, and switch_gain is the switching gain.

[0087] Step S120 , calculating a first coverage distance corresponding to a first critical path loss, and calculating a second coverage distance corresponding to a second critical path loss.

[0088] The first coverage distance is the distance between one boundary of the coverage band of the target cell in the QPSK modulation mode under ideal conditions and the base station, and the second coverage distance is the distance between the other boundary of the coverage band of the target cell in the QPSK modulation mode under ideal conditions and the base station. Figure 3 As shown, the first coverage distance is the distance d1 from point O to Q1, and the second coverage distance is the distance d2 from point O to Q2.

[0089] In an optional implementation, in order to more accurately determine the first coverage distance and the second coverage distance, the following can be used: Figure 4 Steps S121-S122 shown in FIG. 4 calculate the first coverage distance and the second coverage distance:

[0090] Step S121: Determine a target wireless propagation model corresponding to a target cell.

[0091] Specifically, the target wireless propagation model corresponding to the target cell can be determined based on the base station height, frequency band range, and / or coverage scenario type corresponding to the target cell. During implementation, the correspondence between the frequency band range and coverage scenario type and the propagation model as shown in Table 2 can be preconfigured. Thus, during the execution of this step, the wireless propagation model corresponding to the current target cell can be quickly determined based on this configuration information. The wireless propagation model corresponding to the current target cell is the target wireless propagation model.

[0092] Table 2

[0093] Cell frequency band Coverage scenario Propagation Model FDD1800 urban area cost231-Hata F urban area cost231-Hata FDD900 urban area Uma D urban area Uma A urban area Uma FDD1800 suburbs cost231-Hata F suburbs cost231-Hata FDD900 suburbs Rma D suburbs Rma A suburbs Rma

[0094] Step S122: Based on the target wireless propagation model, a first coverage distance corresponding to the first critical path loss is calculated, and a second coverage distance corresponding to the second critical path loss is calculated.

[0095] Specifically, for different wireless propagation models, there are corresponding calculation methods for the first coverage distance and the second coverage distance. Specifically, first, the inverse transformation of the formulas of different propagation models is determined respectively through the following formulas 7, 8 and 9.

[0096]

[0097]

[0098]

[0099] In formula 7-9, f is the frequency band of the corresponding cell, pl is the path loss value of the wireless air interface, and h b is the height of the base station, h m is the height of the user terminal, A hm =(1.1log 10 f-0.7)h m -(1.56log 10 f-0.8), C m is the urban factor, 3db for urban areas and 0db for suburban areas, h is the average height of buildings, and w is the average street width.

[0100] Furthermore, matching first coverage distances and second coverage distances are adopted for different coverage scenarios.

[0101] When the coverage scenario is an urban area, the following formulas 10 and 11 can be used to calculate the first coverage distance and the second coverage distance respectively:

[0102]

[0103]

[0104]

[0105] When the coverage scenario is suburban, the first coverage distance and the second coverage distance can be calculated using the following formulas 12 and 13 respectively:

[0106]

[0107]

[0108] In formulas 10-13, d1 is the first coverage distance, d2 is the second coverage distance, q1_path_los is the first critical path loss, and q2_path_los is the second critical path loss.

[0109] Step S130: Calculate the ideal proportion of the QPSK modulation mode in the target cell according to the first coverage distance and the second coverage distance.

[0110] Based on the first coverage distance and the second coverage distance, the area of ​​the QPSK modulation mode coverage band of the target cell under ideal conditions can be calculated. The area of ​​this coverage band is the ideal coverage area of ​​the QPSK modulation mode in the target cell. The ideal proportion of the QPSK modulation mode in the target cell is then determined based on the ratio of the ideal coverage area of ​​the QPSK modulation mode in the target cell to the total coverage area of ​​the target cell, as well as a preset offset value. Specifically, the ideal proportion of the QPSK modulation mode in the target cell can be calculated using the following formula 14.

[0111]

[0112] In Formula 14, scale_qpsk_ideal is the ideal proportion of the QPSK modulation mode in the target cell, d1 is the first coverage distance, d2 is the second coverage distance, and offset is a preset offset value, for example, the preset offset value can be 5 to 10.

[0113] Step S140: Obtain the actual proportion of the QPSK modulation mode in the target cell.

[0114] Step S150 , determining whether the actual proportion of the QPSK modulation mode is greater than the ideal proportion of the QPSK modulation mode; if so, determining that the target cell is a cell whose modulation mode is to be optimized.

[0115] The ideal proportion of the QPSK modulation mode in the target cell calculated in step S130 is compared with the actual proportion of the QPSK modulation mode in the target cell obtained in step S140. If the actual proportion is greater than the ideal proportion, it indicates that the proportion of the QPSK modulation mode in the target cell is too high. Because the QPSK modulation mode occupies a higher number of service channels when compared with the 16QAM modulation mode and the 64QAM modulation mode under the condition of carrying the same amount of information, this will cause the serving cell to have an artificially high load. The target cell is then determined as a cell for which the modulation mode is to be optimized.

[0116] In an optional implementation, after determining that the target cell is a cell for modulation mode optimization, the high load problem of the target cell can be solved by reducing the actual proportion of QPSK modulation mode in the target cell. Specifically, a preset proportion of sampling points corresponding to the QPSK modulation mode in the target cell is converted to a higher-order modulation mode, thereby reducing traffic channel overhead and improving traffic channel efficiency. As a result, fewer channels can be occupied for the same traffic volume, achieving the effect of reducing the target cell load.

[0117] Further optionally, the preset proportion can be determined according to the difference between the ideal proportion and the actual proportion of the QPSK modulation mode in the current target cell, so that the actual proportion of the QPSK modulation mode in the adjusted target cell is close to the ideal proportion.

[0118] It can be seen that the embodiment of the present invention calculates the ideal proportion of the QPSK modulation mode in the target cell, and determines whether the target cell has a falsely high load by comparing the ideal proportion with the actual proportion, that is, determines whether the target cell is a cell whose modulation mode is to be optimized. This facilitates the purpose of reducing the load of the target cell by adjusting the modulation mode within the target cell. This solution can achieve cell load reduction without increasing bandwidth resources and changing the cell coverage range, and thus has the characteristics of high efficiency and low cost, and is suitable for large-scale application and implementation; and, the embodiment of the present invention specifically calculates the first coverage distance and the second coverage distance of the QPSK modulation mode in the target cell under ideal conditions by calculating the first critical path loss and the second critical path loss of the QPSK modulation mode in the target cell, so that the ideal proportion of the QPSK modulation mode in the target cell can be accurately determined based on the first coverage distance and the second coverage distance.

[0119] Figure 5 FIG. 1 shows a schematic diagram of the structure of a cell data processing device provided by an embodiment of the present invention. Figure 5 As shown, the device 500 includes: a loss calculation module 510, a distance calculation module 520, an ideal proportion calculation module 530, an actual proportion acquisition module 540, and a determination module 550.

[0120] A loss calculation module 510 is configured to calculate a first critical path loss and a second critical path loss of a QPSK modulation mode in a target cell;

[0121] a distance calculation module 520, configured to calculate a first coverage distance corresponding to the first critical path loss, and calculate a second coverage distance corresponding to the second critical path loss;

[0122] An ideal proportion calculation module 530 is configured to calculate an ideal proportion of the QPSK modulation mode in the target cell according to the first coverage distance and the second coverage distance;

[0123] An actual proportion acquisition module 540 is used to obtain the actual proportion of the QPSK modulation mode in the target cell;

[0124] The determination module 550 is configured to determine whether the actual proportion of the QPSK modulation mode is greater than the ideal proportion of the QPSK modulation mode; if so, determine that the target cell is a cell whose modulation mode is to be optimized.

[0125] In an optional embodiment, the loss calculation module is further configured to:

[0126] Determine a first critical value and a second critical value of the SINR corresponding to the QPSK modulation mode according to a mapping relationship between the QPSK modulation mode and the SINR;

[0127] The first critical path loss is calculated according to the first critical value, and the second critical path loss is calculated according to the second critical value.

[0128] In an optional embodiment, the loss calculation module is further configured to:

[0129] The first critical path loss is calculated according to the first critical value and a link budget parameter, and the second critical path loss is calculated according to the second critical value and a link preset parameter.

[0130] In an optional implementation, the distance calculation module is further configured to: determine a target wireless propagation model corresponding to the target cell;

[0131] Based on the target wireless propagation model, a first coverage distance corresponding to the first critical path loss is calculated, and a second coverage distance corresponding to the second critical path loss is calculated.

[0132] In an optional implementation, the distance calculation module is further used to determine a target wireless propagation model corresponding to the target cell based on a base station height, a frequency band range, and / or a coverage scenario type corresponding to the target cell.

[0133] In an optional implementation manner, the ideal proportion calculation module is further used to: calculate the ideal coverage area of ​​the QPSK modulation mode in the target cell according to the first coverage distance and the second coverage distance;

[0134] The ideal proportion of the QPSK modulation mode in the target cell is determined according to the ratio of the ideal coverage area of ​​the QPSK modulation mode in the target cell to the total coverage area of ​​the target cell, and a preset offset value.

[0135] In an optional embodiment, the device further includes: an adjustment module, configured to convert a preset proportion of sampling points corresponding to the QPSK modulation mode in the target cell into a high-order modulation mode after determining that the target cell is a cell whose modulation mode is to be optimized.

[0136] As can be seen from this, this device calculates the ideal proportion of QPSK modulation mode in the target cell and compares this ideal proportion with the actual proportion to determine whether the target cell has an overload, that is, whether the target cell is a cell with a modulation mode to be optimized. This facilitates reducing the target cell's load by adjusting the modulation mode within the target cell. This solution can achieve cell load reduction without increasing bandwidth resources or changing cell coverage, resulting in high efficiency and low cost, making it suitable for large-scale application and implementation.

[0137] An embodiment of the present invention provides a non-volatile computer storage medium, wherein the computer storage medium stores at least one executable instruction, and the computer executable instruction can execute the cell data processing method in any of the above method embodiments.

[0138] Figure 6 The schematic diagram of the structure of a computing device provided by an embodiment of the present invention is shown. The specific embodiment of the present invention does not limit the specific implementation of the computing device.

[0139] like Figure 6 As shown, the computing device may include: a processor (processor) 602 , a communications interface (Communications Interface) 604 , a memory (memory) 606 , and a communication bus 608 .

[0140] Processor 602, communication interface 604, and memory 606 communicate with each other via communication bus 608. Communication interface 604 is used to communicate with other devices, such as clients or other server network elements. Processor 602 is used to execute program 610, which may specifically perform the steps described in the above-mentioned embodiment of the method for processing cell data.

[0141] Specifically, the program 610 may include program codes, which include computer operation instructions.

[0142] Processor 602 may be a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement embodiments of the present invention. The one or more processors included in a computing device may be processors of the same type, such as one or more CPUs, or processors of different types, such as one or more CPUs and one or more ASICs.

[0143] Memory 606 is used to store program 610. Memory 606 may include high-speed RAM memory, or may also include non-volatile memory, such as at least one disk storage device. The specific implementation of each step in program 610 can be found in the corresponding description of the corresponding steps and units in the above-mentioned cell data processing method embodiment, and is not repeated here.

[0144] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described devices and modules can refer to the corresponding process descriptions in the aforementioned method embodiments and will not be repeated here.

[0145] The algorithm or demonstration provided herein are not inherently relevant to any particular computer, virtual system or other equipment. Various general-purpose systems may also be used together with the teachings based on this. According to the above description, it is apparent that the structure required for constructing this type of system. In addition, the embodiment of the present invention is not directed to any specific programming language yet. It should be understood that various programming languages ​​can be utilized to realize the content of the present invention described herein, and the above description of specific languages ​​is for the purpose of disclosing the best mode of the present invention.

[0146] In the description provided herein, numerous specific details are described. However, it is understood that embodiments of the present invention may be practiced without these specific details. In some instances, well-known methods, structures, and techniques are not shown in detail so as not to obscure the understanding of this description.

[0147] Similarly, it should be understood that in order to streamline the present invention and aid in understanding one or more of the various inventive aspects, in the above description of exemplary embodiments of the invention, various features of the embodiments of the invention are sometimes grouped together into a single embodiment, figure, or description thereof. However, this disclosed method should not be interpreted as reflecting an intention that the claimed invention requires more features than are expressly recited in each claim. Rather, as reflected in the claims below, inventive aspects lie in less than all the features of the individual embodiments disclosed above. Accordingly, the claims that follow the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of the invention.

[0148] Those skilled in the art will appreciate that the modules in the devices in the embodiments may be adaptively changed and arranged in one or more devices different from the embodiments. The modules or units or components in the embodiments may be combined into one module or unit or component, and in addition may be divided into multiple submodules or subunits or subcomponents. All features disclosed in this specification (including the accompanying claims, abstracts and drawings) and all processes or units of any method or device disclosed herein may be combined in any combination, except that at least some of such features and / or processes or units are mutually exclusive. Unless expressly stated otherwise, each feature disclosed in this specification (including the accompanying claims, abstracts and drawings) may be replaced by an alternative feature providing the same, equivalent or similar purpose.

[0149] Furthermore, those skilled in the art will appreciate that although some embodiments herein include certain features included in other embodiments but not other features, combinations of features from different embodiments are intended to be within the scope of the present invention and to form different embodiments. For example, in the claims below, any of the claimed embodiments may be used in any combination.

[0150] The various component embodiments of the present invention can be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. It will be appreciated by those skilled in the art that a microprocessor or digital signal processor (DSP) can be used in practice to implement some or all of the functions of some or all of the components according to an embodiment of the present invention. The present invention can also be implemented as a device or apparatus program (e.g., a computer program and a computer program product) for executing a part or all of the methods described herein. Such a program implementing the present invention can be stored on a computer-readable medium, or can have the form of one or more signals. Such a signal can be downloaded from an Internet website, or provided on a carrier signal, or provided in any other form.

[0151] It should be noted that the above embodiments illustrate rather than limit the invention, and that alternative embodiments may be devised by a person skilled in the art without departing from the scope of the appended claims. In the claims, any reference signs placed between brackets should not be construed as limiting the claims. The word "comprising" does not exclude the presence of elements or steps not listed in the claims. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The present invention may be implemented by means of hardware comprising several different elements and by means of appropriately programmed computers. In a unit claim enumerating several means, several of these means may be embodied by the same item of hardware. The use of the words first, second, and third etc. does not indicate any order. These words may be interpreted as names. The steps in the above embodiments should not be understood as limiting the order of execution unless otherwise specified.

Claims

1. A cell data processing method, characterized in that: include: Calculate a first critical path loss and a second critical path loss of a QPSK modulation mode in a target cell; Calculating a first coverage distance corresponding to the first critical path loss, and calculating a second coverage distance corresponding to the second critical path loss; Calculating an ideal proportion of the QPSK modulation mode in the target cell according to the first coverage distance and the second coverage distance; Obtaining an actual proportion of the QPSK modulation mode in the target cell; Determine whether the actual proportion of the QPSK modulation mode is greater than the ideal proportion of the QPSK modulation mode; if so, determine that the target cell is a cell whose modulation mode is to be optimized.

2. The method according to claim 1, wherein The calculating of the first critical path loss and the second critical path loss of the QPSK modulation mode in the target cell further includes: Determine a first critical value and a second critical value of the SINR corresponding to the QPSK modulation mode according to a mapping relationship between the QPSK modulation mode and the SINR; The first critical path loss is calculated according to the first critical value, and the second critical path loss is calculated according to the second critical value.

3. The method according to claim 2, wherein: The calculating the first critical path loss according to the first critical value and the calculating the second critical path loss according to the second critical value further include: The first critical path loss is calculated according to the first critical value and a link budget parameter, and the second critical path loss is calculated according to the second critical value and a link preset parameter.

4. The method according to claim 1, wherein The calculating a first coverage distance corresponding to the first critical path loss and calculating a second coverage distance corresponding to the second critical path loss further include: Determining a target wireless propagation model corresponding to the target cell; Based on the target wireless propagation model, a first coverage distance corresponding to the first critical path loss is calculated, and a second coverage distance corresponding to the second critical path loss is calculated.

5. The method according to claim 4, characterized in that Determining the target radio propagation model corresponding to the target cell further includes: A target wireless propagation model corresponding to the target cell is determined according to a base station height, a frequency band range, and / or a coverage scenario type corresponding to the target cell.

6. The method according to any one of claims 1 to 5, characterized in that Calculating the ideal proportion of the QPSK modulation mode in the target cell according to the first coverage distance and the second coverage distance further includes: Calculate the ideal coverage area of ​​the QPSK modulation mode in the target cell according to the first coverage distance and the second coverage distance; The ideal proportion of the QPSK modulation mode in the target cell is determined according to the ratio of the ideal coverage area of ​​the QPSK modulation mode in the target cell to the total coverage area of ​​the target cell, and a preset offset value.

7. The method according to any one of claims 1 to 5, characterized in that After determining that the target cell is a cell to be optimized in terms of modulation mode, the method further includes: Converting the preset proportion of sampling points corresponding to the QPSK modulation mode in the target cell into a high-order modulation mode.

8. A cell data processing device, characterized in that: include: A loss calculation module, configured to calculate a first critical path loss and a second critical path loss of a QPSK modulation mode in a target cell; a distance calculation module, configured to calculate a first coverage distance corresponding to the first critical path loss, and calculate a second coverage distance corresponding to the second critical path loss; an ideal proportion calculation module, configured to calculate an ideal proportion of the QPSK modulation mode in the target cell according to the first coverage distance and the second coverage distance; An actual proportion acquisition module, used to obtain the actual proportion of the QPSK modulation mode in the target cell; The determination module is used to determine whether the actual proportion of the QPSK modulation mode is greater than the ideal proportion of the QPSK modulation mode; if so, determine that the target cell is a cell whose modulation mode is to be optimized.

9. A computing device, characterized in that include: A processor, a memory, a communication interface, and a communication bus, wherein the processor, the memory, and the communication interface communicate with each other via the communication bus; The memory is used to store at least one executable instruction, and the executable instruction enables the processor to perform an operation corresponding to the cell data processing method according to any one of claims 1 to 7.

10. A computer storage medium, characterized in that The storage medium stores at least one executable instruction, and the executable instruction enables the processor to execute an operation corresponding to the cell data processing method according to any one of claims 1 to 7.

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