Signal strength determination method and device, electronic equipment and storage medium

Abstract

The invention discloses a signal strength determination method and device, electronic equipment and a storage medium, and the method comprises the steps: calculating the dielectric loss between user equipment and an edge region, and the target distance between the user equipment and a base station in a target region; and according to the calculated dielectric loss, the target distance and the trained first corresponding relation, the total path loss when the user equipment is connected with the base station can be determined, so that the signal strength of the user equipment can be determined, and the cellular signal field strength of any indoor point can be accurately evaluated under the condition that the distance between the user equipment and the base station is unknown.

Description

Technical Field

[0001] This application belongs to the field of wireless communication, and particularly relates to a method, device, electronic device, and storage medium for determining signal strength. Background Art

[0002] During the planning stage and network optimization of a mobile communication network, the most important propagation problem is path loss. Path loss is an important basis for the planning and design of a mobile communication system, and has a great influence on the coverage area, signal-to-noise ratio, and near-far effect in cellular design. Therefore, path loss prediction is required during the initial planning stage, subsequent capacity expansion, and network optimization of a mobile communication network.

[0003] Existing wireless propagation models can be used to predict the path loss of wireless signals from a base station to a user equipment. However, each model can only predict the path loss in an outdoor environment or an indoor environment separately, and cannot predict the total path loss during wireless propagation outdoors and indoors simultaneously. Moreover, existing models can only perform path loss prediction when the distance from the user equipment to the base station is known. For the case where the distance between the user equipment and the base station is unknown and the direction of the base station is unknown, existing models cannot accurately predict the total path loss and cannot accurately evaluate the cellular signal field strength at any point indoors.

[0004] Therefore, the problem existing in the prior art is that: when the distance between the user equipment and the base station is unknown, existing models cannot accurately evaluate the cellular signal field strength at any point indoors. Summary of the Invention

[0005] Embodiments of this application provide a method, device, electronic device, and storage medium for determining signal strength, which solve the problem that existing models cannot accurately evaluate the cellular signal field strength at any point indoors when the distance between the user equipment and the base station is unknown.

[0006] In a first aspect, embodiments of this application provide a method for determining signal strength, including:

[0007] Obtain the location information of a user equipment, the location information of M edge regions, and the base station transmission power within a target area, where the target area includes multiple sub-areas, the edge regions are sub-areas at the boundary of the target area, and M is a positive integer greater than or equal to 1;

[0008] Determine the dielectric loss between the user equipment and each edge region respectively according to the location information of the user equipment and the location information of the M edge regions; determine the target distance between the user equipment and the base station according to the location information of the user equipment and the location information of the M edge regions;

[0009] Determine the target total path loss between the user equipment and the base station according to the first correspondence relationship of the preset medium loss, distance, and total path loss, the medium loss, and the target distance;

[0010] Determine the target signal strength of the user equipment corresponding to the target total path loss and the base station transmission power according to the second correspondence relationship of the total path loss, transmission power, and signal strength.

[0011] In some possible implementation manners, it further includes:

[0012] Obtain the medium distribution information within the target area;

[0013] Determine the single-region medium loss of each sub-region according to the medium distribution information;

[0014] Determine the medium loss between the user equipment and each edge region according to the location information of the user equipment and the location information of the M edge regions, including:

[0015] Determine the medium loss between the user equipment and the edge region according to the location information of the user equipment, the location information of the M edge regions, and the single-region medium loss.

[0016] In some possible implementation manners, it further includes:

[0017] Determine the edge regions corresponding to the N minimum medium losses among the M medium losses as the target edge regions, where N is less than M;

[0018] Calculate the average value of the medium loss between the user equipment and the target edge regions to obtain the target medium loss of the user equipment within the target area;

[0019] Determine the target distance between the user equipment and the base station according to the location information of the user equipment and the location information of the M edge regions, including:

[0020] Determine the target distance between the user equipment and the base station according to the location information of the N target edge regions and the location information of the user equipment;

[0021] Determine the target total path loss between the user equipment and the base station according to the first correspondence relationship of the preset medium loss, distance, and total path loss, the medium loss, and the target distance, including:

[0022] Determine the target total path loss between the user equipment and the base station according to the first correspondence relationship of the preset medium loss, distance, and total path loss, the target medium loss, and the target distance.

[0023] In some possible implementation manners, it further includes:

[0024] Obtain the first distance between each target edge area and the base station;

[0025] Calculate the average value of the first distances to obtain the first average distance between the target edge area and the base station;

[0026] Determine the target distance between the user equipment and the base station according to the position information of N target edge areas and the position information of the user equipment, including:

[0027] Determine the second distance between the user equipment and the target edge area according to the position information of N target edge areas and the position information of the user equipment;

[0028] Calculate the average value of the second distances to obtain the second average distance between the user equipment and the target edge area;

[0029] Add the first average distance and the second average distance to obtain the target distance between the user equipment and the base station.

[0030] In some possible implementation manners, the first corresponding relationship among the preset medium loss, distance, and total path loss is:

[0031]

[0032] where Lbfi is the total path loss between the user equipment and the base station, and b, a, C1, δ1, are constants, C1 and δ1 are determined according to the second corresponding relationship, di and Ci are variables, di is the distance between the user equipment and the base station, and Ci is the medium loss of the user equipment in the target area.

[0033] In some possible implementation manners, it further includes:

[0034] Among multiple sub-areas of the target area, determine Q sub-areas as test areas, where Q is a positive integer greater than 1;

[0035] Obtain the actual signal strength of each test area;

[0036] Determine the test area with the highest actual signal strength as the first target test area; determine the test area with the second highest actual signal strength as the second target test area;

[0037] According to the second corresponding relationship among the total path loss, transmit power, and signal strength, the base station transmit power, and the actual signal strength of the first target test area, determine the first actual total path loss from the first target test area to the base station; according to the second corresponding relationship among the total path loss, transmit power, and signal strength, the base station transmit power, and the actual signal strength of the second target test area, determine the second actual total path loss from the second target test area to the base station;

[0038] Determine the constant value of δ1 according to the first actual total path loss and the second actual total path loss.

[0039] In some possible implementation manners, determining the constant value of δ1 according to the first actual total path loss and the second actual total path loss includes:

[0040] Determine a first equation according to a preset correspondence relationship among a distance, a total correction factor, and a third corresponding relationship of the total path loss, and the first actual total path loss; determine a second equation according to the preset correspondence relationship among the distance, the total correction factor, and the third corresponding relationship of the total path loss, and the second actual total path loss; determine a third equation according to the position information of the first target test area and the second target test area;

[0041] Determine the constant value of d1 and the constant value of δ1 according to the first equation, the second equation, the third equation, and a preset fourth equation, where d1 is the distance between the first target test area and the base station, and δ1 is the total correction factor between the first target test area and the base station;

[0042] Wherein, the third corresponding relationship is:

[0043] Lbfi = b + algdi + δi

[0044] Wherein, Lbfi is the total path loss between the test area and the base station, b and a are constants, di and δi are variables, di is the distance between the test area and the base station, and δi is the total correction factor between the test area and the base station.

[0045] In some possible implementation manners, it further includes:

[0046] Determine the first historical dielectric loss between the first target test area and each of the M edge areas according to the position information of the first target test area and the position information of the M edge areas;

[0047] Determine the edge areas corresponding to N minimum first historical dielectric losses among the M first historical dielectric losses as the first historical edge areas;

[0048] Calculate the average value of the first historical dielectric losses between the first target test area and the first historical edge areas to obtain the constant value of C1, where C1 is the target historical dielectric loss of the first target test area in the target area.

[0049] In some possible implementation manners, it further includes:

[0050] Obtain the test information for each test area, where the test information includes the total path loss Lbfi from each test area to the base station, the distance di from each test area to the base station, and the medium loss Ci in the target area when each test area is connected to the base station;

[0051] Determine the test βi for each test area according to the test information and the preset calculation formula of βi;

[0052] Calculate the average value of the test βi to obtain The constant value of;

[0053] Among them, the calculation formula of βi is:

[0054] βi = 1 - (Lbfi - b - algdi - δ1) / (Ci - C1)

[0055] Among them, βi is the medium correction coefficient in the target area, a, b, δ1, and C1 are known constants, Lbfi, di, and Ci are variables, and Lbfi, di, and Ci of each test area are different. Lbfi is the total path loss from the test area to the base station, di is the distance from the test area to the base station, and Ci is the medium loss in the target area when the test area is connected to the base station.

[0056] In some possible implementation manners, before obtaining the test information for each test area, the method further includes:

[0057] According to the location information of each test area and the location information of M edge areas, respectively determine the second historical medium loss between each test area and each edge area;

[0058] Determine the edge areas corresponding to N minimum second historical medium losses among the M second historical medium losses as the second historical edge areas;

[0059] Calculate the average value of the second historical medium loss between the test area and the second historical edge area to obtain the constant value of Ci for each test area.

[0060] In some possible implementation manners, it further includes:

[0061] Obtain the distance from each second historical edge area to the base station and the distance from the test area to each second historical edge area;

[0062] Calculate the average value of the distance from the second historical edge area to the base station to obtain the first average distance; calculate the average value of the distance from the test area to each second historical edge area to obtain the second average distance;

[0063] Add the first average distance and the second average distance to obtain the constant value of di, the distance from the test area to the base station.

[0064] In a second aspect, an embodiment of the present application provides a device for determining signal strength, including:

[0065] An acquisition module, configured to acquire the location information of user equipment in a target area, the location information of M edge areas, and the base station transmission power, where the target area includes a plurality of sub-areas, the edge area is a sub-area at the boundary of the target area, and M is a positive integer greater than or equal to 1;

[0066] A determination module, configured to determine the dielectric loss between the user equipment and each edge area respectively according to the location information of the user equipment and the location information of M edge areas; determine the target distance between the user equipment and the base station according to the location information of the user equipment and the location information of M edge areas;

[0067] The determination module is further configured to determine the target total path loss between the user equipment and the base station according to a first correspondence relationship among a preset dielectric loss, distance, and total path loss, the dielectric loss, and the target distance;

[0068] The determination module is further configured to determine the target signal strength of the user equipment corresponding to the target total path loss and the base station transmission power according to a second correspondence relationship among the total path loss, transmission power, and signal strength.

[0069] In some possible implementations, it further includes:

[0070] The acquisition module is further configured to acquire the dielectric distribution information in the target area;

[0071] The determination module is further configured to determine the single-area dielectric loss of each sub-area according to the dielectric distribution information;

[0072] Determining the dielectric loss between the user equipment and each edge area respectively according to the location information of the user equipment and the location information of M edge areas includes:

[0073] Determining the dielectric loss between the user equipment and the edge area according to the location information of the user equipment, the location information of M edge areas, and the single-area dielectric loss.

[0074] In some possible implementations, it further includes a calculation module:

[0075] The determination module is further configured to determine the edge areas corresponding to N minimum dielectric losses among the M dielectric losses as target edge areas, where N is less than M;

[0076] The calculation module is configured to calculate the average value of the dielectric losses between the user equipment and the target edge areas to obtain the target dielectric loss of the user equipment in the target area;

[0077] The determination module is used to determine the target distance between the user equipment and the base station according to the location information of the user equipment and the location information of M edge regions, including:

[0078] The determination module is used to determine the target distance between the user equipment and the base station according to the location information of N target edge regions and the location information of the user equipment;

[0079] The determination module is also used to determine the target total path loss between the user equipment and the base station according to the preset first correspondence relationship of dielectric loss, distance, and total path loss, dielectric loss, and target distance, including:

[0080] The determination module is also used to determine the target total path loss between the user equipment and the base station according to the preset first correspondence relationship of dielectric loss, distance, and total path loss, target dielectric loss, and target distance.

[0081] In some possible implementations, it further includes:

[0082] The acquisition module is used to acquire the first distance between each target edge region and the base station;

[0083] The calculation module is used to calculate the average value of the first distances to obtain the first average distance between the target edge region and the base station;

[0084] The determination module is also used to determine the target distance between the user equipment and the base station according to the location information of N target edge regions and the location information of the user equipment, including:

[0085] The determination module is also used to determine the second distance between the user equipment and the target edge region according to the location information of N target edge regions and the location information of the user equipment;

[0086] The calculation module is also used to calculate the average value of the second distances to obtain the second average distance between the user equipment and the target edge region;

[0087] The calculation module is also used to add the first average distance and the second average distance to obtain the target distance between the user equipment and the base station.

[0088] In some possible implementations, the preset first correspondence relationship of dielectric loss, distance, and total path loss is:

[0089]

[0090] Among them, Lbfi is the total path loss between the user equipment and the base station, b, a, C1, δ1, are constants, C1 and δ1 are determined based on the second correspondence relationship. di and Ci are variables, where di is the distance from the user equipment to the base station, and Ci is the medium loss of the user equipment in the target area.

[0091] In some possible implementations, it further includes:

[0092] The determination module is further configured to determine Q sub-areas in the multiple sub-areas of the target area as test areas, where Q is a positive integer greater than 1;

[0093] The acquisition module is further configured to acquire the actual signal strength of each test area;

[0094] The determination module is further configured to determine the test area with the highest actual signal strength as the first target test area; determine the test area with the second highest actual signal strength as the second target test area;

[0095] The determination module is further configured to determine the first actual total path loss from the first target test area to the base station according to the second correspondence relationship between the total path loss, the transmit power, and the signal strength, the base station transmit power, and the actual signal strength of the first target test area; determine the second actual total path loss from the second target test area to the base station according to the second correspondence relationship between the total path loss, the transmit power, and the signal strength, the base station transmit power, and the actual signal strength of the second target test area;

[0096] The determination module is further configured to determine the constant value of δ1 according to the first actual total path loss and the second actual total path loss.

[0097] In some possible implementations, the determination module is further configured to determine the constant value of δ1 according to the first actual total path loss and the second actual total path loss, including:

[0098] The determination module is further configured to determine the first equation according to the preset distance, the total correction factor, the third correspondence relationship between the total path loss, and the first actual total path loss; determine the second equation according to the preset distance, the total correction factor, the third correspondence relationship between the total path loss, and the second actual total path loss; determine the third equation according to the location information of the first target test area and the second target test area;

[0099] The determination module is further configured to determine the constant value of d1 and the constant value of δ1 according to the first equation, the second equation, the third equation, and the preset fourth equation, where d1 is the distance between the first target test area and the base station, and δ1 is the total correction factor between the first target test area and the base station;

[0100] Wherein, the third correspondence relationship is:

[0101] Lbfi = b + algdi + δi

[0102] Among them, Lbfi is the total path loss between the test area and the base station, b and a are constants, di and δi are variables, di is the distance from the test area to the base station, and δi is the total correction factor from the test area to the base station.

[0103] In some possible implementations, it further includes:

[0104] The determination module is further configured to determine the first historical dielectric loss between the first target test area and each edge area respectively according to the position information of the first target test area and the position information of the M edge areas;

[0105] The determination module is further configured to determine the edge areas corresponding to N minimum first historical dielectric losses among the M first historical dielectric losses as the first historical edge areas;

[0106] The calculation module is further configured to calculate the average value of the first historical dielectric loss between the first target test area and the first historical edge area to obtain the constant value of C1, where C1 is the target historical dielectric loss of the first target test area within the target area.

[0107] In some possible implementations, it further includes:

[0108] The acquisition module is further configured to acquire the test information of each test area, where the test information includes the total path loss Lbfi from each test area to the base station, the distance di from each test area to the base station, and the dielectric loss Ci of each test area when connecting to the base station within the target area;

[0109] The determination module is further configured to determine the test βi of each test area according to the test information and the preset calculation formula of βi;

[0110] The calculation module is further configured to calculate the average value of the test βi to obtain the constant value of;

[0111] Among them, the calculation formula of βi is:

[0112] βi = 1 - (Lbfi - b - algdi - δ1) / (Ci - C1)

[0113] Among them, βi is the dielectric correction coefficient within the target area, a, b, δ1, and C1 are known constants, Lbfi, di, and Ci are variables, the Lbfi, di, and Ci of each test area are different, Lbfi is the total path loss from the test area to the base station, di is the distance from the test area to the base station, and Ci is the dielectric loss of the test area when connecting to the base station within the target area.

[0114] In some possible implementations, before the acquisition module is used to acquire the test information of each test area, the device further includes:

[0115] The determining module is further configured to respectively determine the second historical dielectric losses between each test area and each edge area according to the location information of each test area and the location information of the M edge areas.

[0116] The determining module is further configured to determine the edge areas corresponding to N minimum second historical dielectric losses among the M second historical dielectric losses as the second historical edge areas.

[0117] Calculate the average value of the second historical dielectric losses between the test area and the second historical edge areas to obtain the constant value of Ci for each test area.

[0118] In some possible implementation manners, it further includes:

[0119] The obtaining module is further configured to obtain the distance from each second historical edge area to the base station and the distance from the test area to each second historical edge area.

[0120] The determining module is further configured to calculate the average value of the distances from the second historical edge areas to the base station to obtain the first average distance; calculate the average value of the distances from the test area to each second historical edge area to obtain the second average distance.

[0121] The determining module is further configured to add the first average distance and the second average distance to obtain the constant value of di, which is the distance from the test area to the base station.

[0122] In a third aspect, an embodiment of the present application further provides an electronic device, which includes a processor and a memory storing computer program instructions; when the processor executes the computer program instructions, it implements the method for determining the signal strength in the first aspect or any possible implementation manner in the first aspect.

[0123] In a fourth aspect, an embodiment of the present application further provides a computer storage medium, on which computer program instructions are stored, and when the computer program instructions are executed by a processor, it implements the method for determining the signal strength in the first aspect or any possible implementation manner in the first aspect.

[0124] In a fifth aspect, an embodiment of the present application provides a computer program product, and when the instructions in the computer program product are executed by the processor of the electronic device, the electronic device can execute the method for determining the signal strength in the first aspect or any possible implementation manner in the first aspect.

[0125] The method, device, electronic device and storage medium for determining signal strength according to the embodiments of the present application obtain the location information of user equipment in a target area, the location information of M edge areas and the base station transmission power, where the target area includes multiple sub-areas, the edge area is a sub-area at the boundary of the target area, and M is a positive integer greater than or equal to 1. Then, according to the location information of the user equipment and the location information of the M edge areas, the medium loss between the user equipment and each edge area can be determined. At the same time, according to the location information of the edge area and the location information of the user equipment, the target distance between the user equipment and the base station can also be determined. Then, according to the first corresponding relationship between the preset medium loss, distance and total path loss, the medium loss between the user equipment and each edge area, and the target distance, the target total path loss between the user equipment and the base station can be determined. Furthermore, according to the second corresponding relationship between the total path loss, transmission power and signal strength, the target signal strength of the user equipment corresponding to the target total path loss and the base station transmission power can be determined. In the target area, by calculating the medium loss between the user equipment and the edge area, the target distance between the user equipment and the base station, and according to the calculated medium loss, target distance and the trained first corresponding relationship, the total path loss when the user equipment is connected to the base station can be determined, and then the signal strength of the user equipment can be determined. It is possible to accurately evaluate the cellular signal field strength at any point in the room when the distance between the user equipment and the base station is unknown. BRIEF DESCRIPTION OF THE DRAWINGS

[0126] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for the embodiments of the present application will be briefly introduced below. For those of ordinary skill in the art, other drawings can also be obtained based on these drawings without creative efforts.

[0127] Figure 1 is a schematic flowchart of a method for determining signal strength provided by an embodiment of the present application;

[0128] Figure 2 is another schematic flowchart of a method for determining signal strength provided by an embodiment of the present application;

[0129] Figure 3 is still another schematic flowchart of a method for determining signal strength provided by an embodiment of the present application;

[0130] Figure 4 is a schematic diagram of a device for determining signal strength provided by an embodiment of the present application;

[0131] Figure 5 is a schematic structural diagram of an electronic device provided by an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0132] The features and exemplary embodiments of various aspects of the present application will be described in detail below. To make the objectives, technical solutions, and advantages of the present application clearer and more understandable, the present application will be further described in detail below in combination with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only intended to explain the present application and do not limit the present application. For those skilled in the art, the present application can be implemented without some of these specific details. The following description of the embodiments is only to provide a better understanding of the present application by showing examples of the present application.

[0133] It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements not only includes those elements, but also includes other elements not expressly listed, or elements inherent to such process, method, article or device. Without further limitation, the elements defined by the statement "comprising..." do not exclude the existence of additional identical elements in the process, method, article or device comprising the said elements.

[0134] As described in the background art, during the planning phase and network optimization of a mobile communication network, the most important propagation problem is path loss. Path loss is an important basis for the planning and design of a mobile communication system, and has a great influence on the coverage range, signal-to-noise ratio, and near-far effect in cellular design. Therefore, path loss prediction is required during the initial planning phase, subsequent expansion, and network optimization of a mobile communication network.

[0135] Existing wireless propagation models can be used to predict the path loss of wireless signals from a base station to a user equipment, but each model can only predict the path loss in an outdoor environment or an indoor environment separately, and cannot predict the total path loss during wireless propagation outdoors and indoors at the same time. Moreover, all existing models require the distance from the user equipment to the base station to be known in order to predict the path loss. In the case where the distance between the user equipment and the base station is unknown and the direction of the base station is unknown, the existing models cannot accurately predict the total path loss and cannot accurately evaluate the cellular signal field strength at any point indoors.

[0136] Existing models have predicted the changes in wireless signals through a large amount of measured data or precise electromagnetic theory calculations. Several typical wireless propagation models are shown in Table 1.

[0137] Table 1

[0138] Model Name Applicable Scope Okumura-Hata Model Applicable to 900MHz macrocell prediction COST231-Hata Model Applicable to 1800MHz macrocell prediction COST231 Walfisch-Ikegami Model Applicable to 900MHz and 1800MHz microcell prediction Keenan-Motley Model Applicable to 900MHz and 1800MHz indoor environment prediction COST231-Multi-Wall Applicable to 900MHz and 1800MHz indoor environment prediction

[0139] Specifically:

[0140] 1) Okumura - Hata model

[0141] The Hata model is obtained by formula fitting based on a large amount of Okumura's test data and is called the Okumura - Hata model.

[0142] L b = 69.55 + 26.16lgf - 13.82lgh b - α(h m ) + (44.9 - 6.55lgh b )lgd

[0143] Among them, the unit of d is km, and the unit of f is MHz; Lb city is the median value of the basic propagation loss in the urban area; hb and hm are the effective heights of the base station and mobile station antennas, with the unit of meters.

[0144] 2) COST231 - Hata model

[0145] Based on the Okumura - Hata model, using some correction terms, the frequency coverage range is extended from 1500 MHz to 2000 MHz, and the obtained propagation model expression is called the COST231 - Hata model, with newly added environmental correction factors such as urban and suburban areas.

[0146] L b = 46.3 + 33.9lgf - 13.82lgh b - α(h m ) + (44.9 - 6.55lgh b )lgd + C m

[0147] 3) Keenan - Motley model

[0148] Indoor propagation loss formula:

[0149]

[0150] Among them, L f represents the floor penetration attenuation, which is a constant for flat - floor housing types, and L i represents the traditional building medium loss, and L(D0) represents the measured value per unit distance.

[0151] 4) COST231 - Multi - Wall model

[0152]

[0153] Among them, the Okumura-Hata and COST231-Hata models are empirical models. The characteristic of this model is that it can calculate the space propagation loss without knowing any measured information, but it ignores the transmission attenuation and multipath effects in complex environments, only considering the free space attenuation caused by distance, resulting in relatively large errors, especially when the transmission path passes through multiple obstacles. Other models, on the other hand, require a measured value at a unit distance and calculate other points based on this. Therefore, in the prior art, when the distance between the user equipment and the base station is unknown, it is impossible to accurately evaluate the cellular signal field strength at any point in the indoor area.

[0154] Based on this, the embodiments of the present application provide a method, apparatus, electronic device, and storage medium for determining signal strength, which can solve the problem that existing models cannot accurately evaluate the cellular signal field strength at any point in the indoor area when the distance between the user equipment and the base station is unknown.

[0155] The method for determining signal strength provided by the embodiments of the present application will be described in detail below with reference to the accompanying drawings.

[0156] Figure 1 is a schematic flowchart of a method for determining signal strength provided by the embodiments of the present application. As Figure 1 shown, the method may include steps S110 to S140.

[0157] S110, obtain the location information of the user equipment in the target area, the location information of M edge areas, and the base station transmission power, where the target area includes multiple sub-areas, the edge area is a sub-area at the boundary of the target area, and M is a positive integer greater than or equal to 1.

[0158] The target area refers to the area where the user equipment is located. The target area can be a polygon area. In the embodiments of the present application, the target area can be set based on requirements and is not limited in this regard. This area may include media such as load-bearing walls, ordinary walls, windows, and doors, for example, it can be an indoor area.

[0159] Specifically, step S110 can be understood as follows: The target area is divided into multiple sub-areas, that is, the target area is composed of multiple sub-areas. The sub-areas at the edge of the target area can be called edge areas. M edge areas can be selected from the edge areas, and the location information of the M edge areas can be obtained. At the same time, the location information of the user equipment in the target area and the base station transmission power can also be obtained, that is, the relative positions between the user equipment and the edge area nodes can be known.

[0160] S120. Determine the dielectric losses between the user equipment and each of the M edge regions according to the location information of the user equipment and the location information of the M edge regions; determine the target distance between the user equipment and the base station according to the location information of the user equipment and the location information of the M edge regions.

[0161] Specifically, step S120 can be understood as follows. According to the location information of the user equipment and the location information of the M edge regions, the dielectric losses between the user equipment and each of the M edge regions can be determined. For example, the dielectric loss between the user equipment and Edge Region_1 is Dielectric Loss_1, and the dielectric loss between the user equipment and Edge Region_2 is Dielectric Loss_2. According to the location information of the user equipment and the location information of the M edge regions, the target distance between the user equipment and the base station can also be determined.

[0162] In some embodiments, it further includes:

[0163] Obtain the dielectric distribution information within the target region;

[0164] Determine the single-region dielectric loss of each sub-region according to the dielectric distribution information;

[0165] In step S120, determining the dielectric losses between the user equipment and each of the M edge regions according to the location information of the user equipment and the location information of the M edge regions may include:

[0166] Determine the dielectric losses between the user equipment and the edge regions according to the location information of the user equipment, the location information of the M edge regions, and the single-region dielectric loss.

[0167] Among them, the single-region dielectric loss refers to the dielectric loss within a sub-region and can be denoted as Li.

[0168] Specifically, the process of determining the medium loss between the user equipment and the edge area is as follows: First, obtain the medium distribution information in the target area. For example, obtain the floor plan of a house. Then, according to the medium distribution information, such as the distribution information of load-bearing walls, ordinary walls, windows, doors, etc., the single-area medium loss of each sub-area can be determined. Next, based on the position information of the user equipment, the position information of the M edge areas, and the single-area medium loss, the medium loss between the user equipment and the edge area can be determined. For example, the single-area medium loss Li of the sub-area where the user equipment is located, the single-area medium loss Li of the edge area, and the single-area medium loss Li of the sub-areas on the line connecting the user equipment and the edge area can be added together to obtain the medium loss between the user equipment and the edge area. In the "indoor path" where the user equipment is connected to the base station in the embodiments of the present application: Since multiple sub-areas will be passed through between the user equipment and the edge area, when determining the medium loss between the user equipment and the edge area, the medium loss of the intermediate sub-areas passed through is added, and the medium loss between the user equipment and the edge area calculated after adding Li is more accurate.

[0169] S130. Determine the target total path loss between the user equipment and the base station according to the first corresponding relationship among the preset medium loss, distance, and total path loss, the medium loss, and the target distance.

[0170] The first corresponding relationship among the preset medium loss, distance, and total path loss refers to the trained corresponding relationship.

[0171] In some embodiments, the first corresponding relationship among the preset medium loss, distance, and total path loss is:

[0172]

[0173] Among them, Lbfi is the total path loss between the user equipment and the base station, and b, a, C1, δ1, are constants, C1, δ1 are determined based on the second corresponding relationship, di, Ci are variables, di is the distance from the user equipment to the base station, and Ci is the medium loss of the user equipment in the target area. In the embodiments of the present application, the constants " C1, δ1" in the first corresponding relationship need to be calculated.

[0174] Specifically, step S130 can be understood as substituting the medium loss between the user equipment and each edge area determined in step S120, taking the average value to obtain Ci, and the target distance di between the user equipment and the base station into the first corresponding relationship to determine the target total path loss Lbfi between the user equipment and the base station.

[0175] In some embodiments, such as Figure 2As shown, the method for determining signal strength further includes:

[0176] S150. Determine the edge regions corresponding to N minimum dielectric losses among the M dielectric losses as the target edge regions, where N is less than M; calculate the average value of the dielectric losses between the user equipment and the target edge regions to obtain the target dielectric loss of the user equipment within the target region.

[0177] In step S120, determining the target distance between the user equipment and the base station according to the location information of the user equipment and the location information of the M edge regions includes:

[0178] Determine the target distance between the user equipment and the base station according to the location information of the N target edge regions and the location information of the user equipment.

[0179] In step S130, determining the target total path loss between the user equipment and the base station according to the preset first correspondence relationship among dielectric loss, distance, and total path loss, dielectric loss, and target distance includes:

[0180] Determine the target total path loss between the user equipment and the base station according to the preset first correspondence relationship among dielectric loss, distance, and total path loss, target dielectric loss, and target distance.

[0181] Specifically, first obtain the location information of the user equipment within the target region, the location information of the M edge regions, and the base station transmission power.

[0182] Secondly, according to the location information of the user equipment and the location information of the M edge regions, the dielectric losses between the user equipment and each edge region can be determined.

[0183] Then determine the edge regions corresponding to N minimum dielectric losses among the M dielectric losses as the target edge regions, where N is less than or equal to M. For example, when M = 8 and N = 3, 3 edge regions can be selected from the 8 edge regions as the target edge regions according to the magnitude of the dielectric losses. The target edge regions can be regarded as the edge regions through which the wireless signal needs to pass when the user equipment connects to the base station, which is equivalent to finding the direction of the base station relative to the user equipment.

[0184] Next, calculate the average value of the dielectric losses between the user equipment and the target edge regions to obtain the target dielectric loss of the user equipment within the target region; determine the target distance between the user equipment and the base station according to the location information of the N target edge regions and the location information of the user equipment. Thus, the loss in the indoor path when the user equipment connects to the base station, that is, the target dielectric loss, can be obtained, and the distance from the user equipment to the base station can also be known.

[0185] According to the first correspondence relationship among the preset medium loss, distance, and total path loss, the target medium loss, and the target distance, the target total path loss between the user equipment and the base station can be determined. For example, substituting the target medium loss Ci and the target distance di into the first correspondence relationship (Ci - C1), the Lbfi can be obtained, which is the target total path loss between the user equipment and the base station.

[0186] Next, according to the second correspondence relationship among the total path loss, transmit power, and signal strength, the target signal strength of the user equipment corresponding to the target total path loss and the base station transmit power can be determined. Thus, the target signal strength Si at the location of the user equipment can be obtained. In the embodiment of the present application, by calculating the medium loss between the user equipment and the edge area in the target area, N edge areas corresponding to the minimum medium loss can be found from M edge areas and used as the target edge areas. For example, when M = 8 and N = 3, 3 edge areas can be selected from 8 edge areas as the target edge areas according to the magnitude of the medium loss. The target edge area can be regarded as the edge area that the wireless signal needs to pass through when the user equipment connects to the base station, which is equivalent to finding the direction of the base station relative to the user equipment. Next, the average medium loss between the user equipment and the target edge area can be calculated, that is, the target medium loss of the user equipment in the target area when connecting to the base station. The target distance between the user equipment and the base station can also be calculated based on the position information of the N target edge areas and the position information of the user equipment. Therefore, according to the calculated target medium loss, target distance, and the trained first correspondence relationship, the total path loss when the user equipment connects to the base station can be determined, and then the signal strength of the user equipment can be determined, so as to accurately evaluate the cellular signal field strength at any point in the room when the distance between the user equipment and the base station is unknown.

[0187] In some embodiments, it further includes:

[0188] Obtain the first distance between each target edge area and the base station;

[0189] Calculate the average value of the first distances to obtain the first average distance between the target edge area and the base station;

[0190] Determining the target distance between the user equipment and the base station according to the position information of the N target edge areas and the position information of the user equipment includes:

[0191] Determine the second distance between the user equipment and the target edge area according to the position information of the N target edge areas and the position information of the user equipment;

[0192] Calculate the average value of the second distances to obtain the second average distance between the user equipment and the target edge area;

[0193] Add the first average distance and the second average distance to obtain the target distance between the user equipment and the base station.

[0194] Among them, the first average distance refers to the average distance between the target edge area and the base station.

[0195] The second average distance refers to the average distance between the user equipment and the target edge node.

[0196] The target distance is equal to the first average distance + the second average distance, that is, the average distance between the target edge area and the base station + the average distance between the user equipment and the target edge node = the distance between the user equipment and the base station.

[0197] Specifically, the process of determining the target distance between the user equipment and the base station is as follows:

[0198] First, obtain the distance between each target edge area and the base station. This distance can be called the first distance. Among them, the first distance between each target edge area and the base station can be calculated. When the position of the base station remains unchanged, this first distance is a constant calculated in advance.

[0199] Secondly, calculate the average value of the first distances to obtain the first average distance between the target edge area and the base station, which is equivalent to finding the length of the outdoor path when the user equipment connects to the base station.

[0200] At the same time, according to the position information of the N target edge areas and the position information of the user equipment, the second distance between the user equipment and the target edge area can be determined, and then the average value of the second distances is calculated to obtain the second average distance between the user equipment and the target edge area, which is equivalent to finding the length of the indoor path when the user equipment connects to the base station.

[0201] Then add the first average distance and the second average distance, that is, add the length of the outdoor path when the user equipment connects to the base station and the length of the indoor path when the user equipment connects to the base station, that is, the total path length when the user equipment connects to the base station can be obtained, that is, the distance between the user equipment and the base station. This distance can be called the target distance. In the embodiments of the present application, calculating the "average" distance between the N target edge nodes and the base station and the "average" distance between the N target edge nodes and the user equipment is equivalent to regarding the N target edge nodes as a "virtual edge node". The paths between the user equipment, the virtual edge node, and the base station can be approximately regarded as straight lines, which is more in line with the actual situation of wireless signal transmission and can make the calculation result of the path loss more accurate.

[0202] In one example, the target area is a quadrilateral area, including four sides and four corners. M = 8 and N = 3, that is, 8 edge nodes are selected, and 3 target edge nodes need to be selected from the 8 edge nodes according to the location of the user equipment. The 4 edge areas are the sub-areas where the four corners of the target area are located, and the remaining 4 edge areas are the sub-areas at the central positions of the four sides of the target area. In the embodiment of the present application, the number of edge areas is 8. Each sub-area where a corner is located is 1 edge node, and each middle sub-area of a side is 1 edge node. 8 edge nodes are selected and distributed in all directions of the target area, which can make the subsequent selection of 3 "target edge areas" from 8 more accurate and is beneficial to improving the accuracy of calculating the target signal strength subsequently.

[0203] S140. Determine the target signal strength of the user equipment corresponding to the target total path loss and the base station transmission power according to the second correspondence relationship among the total path loss, the transmission power, and the signal strength.

[0204] The second correspondence relationship refers to the correspondence relationship among the total path loss, the transmission power, and the signal strength. For example, the second correspondence relationship can be:

[0205] Pr = Pt + Gt + Gr - Lt - Lr - Lbf

[0206] Where Pr is the received power of the user equipment, with the unit of dBm. The received power of the user equipment, that is, the signal strength of the user equipment, is the information to be obtained. Pt, Gt, Gr, Lt, and Lr are known constants, and Lbf is an input variable. Specifically, Pt is the transmission power of the base station, with the unit of dBm. Gr and Gt are the gains of the transceiver antennas respectively, with the unit of dB. Lr and Lt are the feeder losses of the uplink and downlink respectively, with the unit of dB; Lbf is the propagation path loss when the user equipment connects to the base station, that is, the total path loss, with the unit of dB. For example, if Pt + Gt + Gr - Lt - Lr = 40 dBm, then Pr = 40 - Lbf, that is, the signal strength of the user equipment = 40 - the total path loss when the user equipment connects to the base station.

[0207] Specifically, step S140 can be understood as substituting the target total path loss and the base station transmission power into the "second correspondence relationship among the total path loss, the transmission power, and the signal strength", and the target signal strength of the user equipment can be obtained.

[0208] In the method for determining signal strength provided by the embodiments of the present application, by obtaining the location information of user equipment in a target area, the location information of M edge areas, and the base station transmission power, where the target area includes multiple sub-areas, the edge area is a sub-area at the boundary of the target area, and M is a positive integer greater than or equal to 1. Then, according to the location information of the user equipment and the location information of the M edge areas, the dielectric loss between the user equipment and each edge area can be determined. At the same time, according to the location information of the edge area and the location information of the user equipment, the target distance between the user equipment and the base station can also be determined. Then, according to the first corresponding relationship among the preset dielectric loss, distance, and total path loss, the dielectric loss between the user equipment and each edge area, and the target distance, the target total path loss between the user equipment and the base station can be determined. Furthermore, according to the second corresponding relationship among the total path loss, transmission power, and signal strength, the target signal strength of the user equipment corresponding to the target total path loss and the base station transmission power can be determined. In the target area, by calculating the dielectric loss between the user equipment and the edge area, the target distance between the user equipment and the base station, and according to the calculated dielectric loss, target distance, and the trained first corresponding relationship, the total path loss when the user equipment is connected to the base station can be determined, and then the signal strength of the user equipment can be determined. It is possible to accurately evaluate the cellular signal field strength at any point indoors when the distance between the user equipment and the base station is unknown.

[0209] In some embodiments, it further includes:

[0210] Among the multiple sub-areas of the target area, determine Q sub-areas as test areas, where Q is a positive integer greater than 1;

[0211] Obtain the actual signal strength of each test area;

[0212] Determine the test area with the highest actual signal strength as the first target test area; determine the test area with the second highest actual signal strength as the second target test area;

[0213] According to the second corresponding relationship among the total path loss, transmission power, and signal strength, the base station transmission power, and the actual signal strength of the first target test area, determine the first actual total path loss from the first target test area to the base station; according to the second corresponding relationship among the total path loss, transmission power, and signal strength, the base station transmission power, and the actual signal strength of the second target test area, determine the second actual total path loss from the second target test area to the base station;

[0214] According to the first actual total path loss and the second actual total path loss, determine the constant value of δ1.

[0215] Among them, the signal strength of each sub-area can be denoted as Si.

[0216] The first target test area refers to the test area with the largest Si, which can be denoted as top1.

[0217] The second target test area refers to the test area with the second largest Si, which can be denoted as top2.

[0218] It should be noted that since Gt, Gr, Lt, and Lr in the second correspondence are all known constants, for the sake of easy understanding, the second correspondence can also be simply denoted as: the total path loss Lbf from the user equipment to the base station = the base station transmission power - the user equipment signal strength Si, where the base station transmission power can be 40 dBm.

[0219] The first actual total path loss refers to the true total path loss of the first target test area Top1, which can be denoted as Lbf1 and is obtained according to the second correspondence. For example, the signal strength S1 of the first target test area Top1 is known and the base station transmission power is known. Substituting S1 and the base station transmission power into the second correspondence, the true value of Lbf1 can be obtained.

[0220] The second actual total path loss refers to the true total path loss of the second target test area Top2, which can be denoted as Lbf2 and is obtained according to the second correspondence. For example, the signal strength S2 of the second target test area Top2 is known and the base station transmission power is known. Substituting S2 and the base station transmission power into the second correspondence, the true value of Lbf2 can be obtained.

[0221] It should be noted that before generating the first correspondence, it is necessary to determine the "constant value of δ1", the "constant value of C1", and the constant value of

[0222] Specifically, the process of determining the "constant value of δ1" is as follows:

[0223] First, among multiple sub - areas of the target area, determine Q sub - areas as test areas, where Q is a positive integer greater than 1;

[0224] Secondly, obtain the actual signal strengths S1, S2, S3,..., S Q ;

[0225] Then, determine the test area with the highest actual signal strength Si as the first target test area Top1; determine the test area with the second - highest actual signal strength Si as the second target test area Top2, and the difference between S1 of Top1 and S2 of Top2 needs to be less than or equal to a preset threshold, such as less than 3 dbm, indicating that Top1 and Top2 are very close. Thus, the total correction factor δ1 of Top1 ≈ the total correction factor δ2 of Top2;

[0226] Then, according to the second corresponding relationship among the total path loss, the transmit power, and the signal strength, the base station transmit power, and the actual signal strength of the first target test area, determine the first actual total path loss Lbf1 from the first target test area to the base station; according to the second corresponding relationship among the total path loss, the transmit power, and the signal strength, the base station transmit power, and the actual signal strength of the second target test area, determine the second actual total path loss Lbf2 from the second target test area to the base station;

[0227] Thus, the actual value of the first actual total path loss Lbf1 of the first target test area Top1 can be obtained, the actual value of the second actual total path loss Lbf2 of the second target test area Top2 can be obtained, and the equation δ1 = δ2 can also be obtained. Then, according to the first actual total path loss Lbf1 and the second actual total path loss Lbf2, the constant values of δ1, δ2, d1, and d2 can be determined.

[0228] It should be noted that S1, Lbf1, d1, and δ1 are respectively the actual signal strength, the first actual total path loss, the distance to the base station, and the total correction factor of the first target test area Top1; S2, Lbf2, d2, and δ2 are respectively the actual signal strength, the second actual total path loss, the distance to the base station, and the total correction factor of the second target test area Top2.

[0229] In some embodiments, determining the constant value of δ1 according to the first actual total path loss and the second actual total path loss includes:

[0230] Determine the first equation according to the preset third corresponding relationship among the distance, the total correction factor, and the total path loss and the first actual total path loss; determine the second equation according to the preset third corresponding relationship among the distance, the total correction factor, and the total path loss and the second actual total path loss; determine the third equation according to the position information of the first target test area and the second target test area;

[0231] Determine the constant values of d1 and δ1 according to the first equation, the second equation, the third equation, and the preset fourth equation, where d1 is the distance from the first target test area to the base station, and δ1 is the total correction factor from the first target test area to the base station;

[0232] Among them, the third corresponding relationship is:

[0233] Lbfi = b + algdi + δi

[0234] Among them, Lbfi is the total path loss from the test area to the base station, b and a are constants, di and δi are variables, di is the distance from the test area to the base station, and δi is the total correction factor from the test area to the base station.

[0235] Among them, the third correspondence is as follows:

[0236] Lbfi = b + algdi + δi

[0237] Among them, Lbfi is the total path loss between the test area and the base station, b and a are constants, di and δi are variables, di is the distance from the test area to the base station, and δi is the total correction factor from the test area to the base station. For example, Lbf1 is the total path loss when the first target test area Top1 is connected to the base station, d1 is the distance from the first target test area Top1 to the base station, and δ1 is the total correction factor of Top1. Among them, the true value of Lbf1 has been calculated.

[0238] The first equation can be obtained by substituting the first actual total path loss Lbf1 into the third correspondence, that is, the correspondence between d1 and δ1 is obtained, and d1 and δ1 are unknowns.

[0239] The second equation can be obtained by substituting the second actual total path loss Lbf2 into the third correspondence, that is, the correspondence between d2 and δ2 is obtained, and d2 and δ2 are unknowns.

[0240] The third equation can be determined according to the location information of the first target test area Top1 and the second target test area Top2. For example, the actual distance between the first target test area Top1 and the second target test area Top2 within the target area can be obtained. This actual distance = d1 - d2, that is, the correspondence between d1 and d2 is obtained, and d1 and d2 are unknowns.

[0241] The fourth equation is the preset δ1 = δ2, that is, the correspondence between δ1 and δ2 is obtained, and δ1 and δ2 are unknowns.

[0242] Specifically, according to the first actual total path loss Lbf1 and the second actual total path loss Lbf2, the process of determining the "constant value of δ1" is as follows: d1, d2, δ1, and δ2 are unknowns. From the fourth equation, it can be seen that δ1 = δ2. Therefore, it is equivalent to having 3 remaining unknowns d1, d2, and δ1. The first equation, the second equation, and the third equation are equivalent to 3 equations of d1, d2, and δ1. Therefore, the actual values of d1, d2, δ1, and δ2 can be obtained by solving the system of equations. These actual values can be regarded as true and effective reference values and can be used in subsequent calculation processes. In the embodiments of the present application, the constant value of the distance d1 from the first target test area to the base station and the constant value of the total correction factor δ1 from the first target test area to the base station can be calculated. While determining the "constant value of δ1", the "constant value of d1" can also be determined. d1 is the basis for subsequently determining the "constant value of C1".

[0243] In some embodiments, the method for determining the signal strength further includes:

[0244] According to the position information of the first target test area and the position information of the M edge areas, determine the first historical dielectric loss between the first target test area and each edge area respectively;

[0245] Determine the edge areas corresponding to N minimum first historical dielectric losses among the M first historical dielectric losses as the first historical edge areas;

[0246] Calculate the average value of the first historical dielectric losses between the first target test area and the first historical edge areas to obtain the constant value of C1, where C1 is the target historical dielectric loss of the first target test area within the target area.

[0247] Specifically, the process of determining the "constant value of C1" through d1 is as follows: Find N with the smallest dielectric loss to Top1 from the M edge nodes as the first historical edge nodes. For example, find 3 with the largest signal strength Si from 8 edge nodes as the first historical edge nodes, and take the average value of the dielectric losses of the 3 first historical edge nodes to top1 as the dielectric loss C1 of Top1 within the target area, from which the "constant value of C1" can be obtained.

[0248] Thus, the "constant value of δ1" and the "constant value of C1" can be obtained. Next, it is necessary to determine the " constant value".

[0249] Before determining the " constant value", it is also necessary to determine the constant value of the indoor dielectric loss Ci of each "test area" and the constant value of the distance di from the "test area" to the base station.

[0250] In some embodiments, before obtaining the test information of each test area, the method further includes:

[0251] According to the position information of each test area and the position information of the M edge areas, determine the second historical dielectric loss between each test area and each edge area respectively;

[0252] Determine the edge areas corresponding to N minimum second historical dielectric losses among the M second historical dielectric losses as the second historical edge areas;

[0253] Calculate the average value of the second historical dielectric losses between the test area and the second historical edge areas to obtain the constant value of Ci for each test area.

[0254] Specifically, the process of determining the constant value of the indoor dielectric loss Ci of each test area is as follows: Among the M edge nodes, find N edge nodes with the minimum dielectric loss to the test area as the second historical edge nodes. For example, among 8 edge nodes, find 3 edge nodes with the maximum signal strength Si as the second historical edge nodes. Take the average value of the dielectric losses of the 3 second historical edge nodes to the test area as the dielectric loss Ci of the test area within the target area, and thus the "constant value of the indoor dielectric loss Ci of each test area" can be obtained.

[0255] In some embodiments, the method for determining the signal strength further includes:

[0256] Obtain the distance from each second historical edge area to the base station and the distance from the test area to each second historical edge area;

[0257] Calculate the average value of the distances from the second historical edge areas to the base station to obtain the first average distance; calculate the average value of the distances from the test area to each second historical edge area to obtain the second average distance;

[0258] Add the first average distance and the second average distance to obtain the constant value of di, which is the distance from the test area to the base station.

[0259] Specifically, the process of determining the constant value of the distance di from the "test area" to the base station is as follows: Taking 3 second historical edge area nodes as an example, add the distances from the second historical edge nodes to the base station and divide by 3 to obtain the distance from the virtual edge node to the base station, which is the length of the outdoor path when the test area is connected to the base station. Similarly, add the distances from the second historical edge nodes to the test area and divide by 3 to obtain the distance from the virtual edge node to the test area, which is the length of the indoor path when the test area is connected to the base station. Add the length of the outdoor path when the test area is connected to the base station and the length of the indoor path when the test area is connected to the base station to obtain the constant value of the distance di from the test area to the base station.

[0260] After obtaining the constant value of the indoor dielectric loss Ci of each "test area" and the constant value of the distance di from the "test area" to the base station, next, the " constant value" can be determined.

[0261] In an example, the derivation process of the calculation formula of βi is as follows:

[0262] The calculation formula of the preset total correction factor is δi = e + (1 - βi)Ci, where e is the outdoor constant correction factor, C is the indoor dielectric loss, and β is the indoor dielectric correction coefficient. The "constant value of δ1" and the "constant value of C1" can be substituted into this formula to obtain:

[0263] e = δ1 - (1 - βi)C1

[0264] Next, substitute δi = e + (1 - βi)Ci and e = δ1 - (1 - βi)C1 into the third corresponding relationship Lbfi = b + algdi + δi, and we can get: Lbfi = b + algdi + δi = b + algdi + e + (1 - βi)Ci = b + algdi + [δ1 - (1 - βi)C1] + (1 - βi)Ci, that is, the calculation formula for βi is obtained:

[0265] βi = 1 - (Lbfi - b - algdi - δ1) / (Ci - C1)

[0266] Among them, βi is the medium correction coefficient in the target area, a, b, δ1, and C1 are known constants, Lbfi, di, and Ci are variables, and Lbfi, di, and Ci in each test area are different. Lbfi is the total path loss from the test area to the base station, di is the distance from the test area to the base station, and Ci is the medium loss in the target area when the test area is connected to the base station.

[0267] In some embodiments, the method for determining the signal strength further includes:

[0268] Obtain the test information of each test area, where the test information includes the total path loss Lbfi from each test area to the base station, the distance di from each test area to the base station, and the medium loss Ci in the target area when each test area is connected to the base station;

[0269] Determine the test βi of each test area according to the test information and the preset calculation formula of βi;

[0270] Calculate the average value of the test βi to obtain the constant value of

[0271] Among them, the calculation formula of βi is:

[0272] βi = 1 - (Lbfi - b - algdi - δ1) / (Ci - C1)

[0273] Among them, βi is the medium correction coefficient in the target area, a, b, δ1, and C1 are known constants, Lbfi, di, and Ci are variables, and Lbfi, di, and Ci in each test area are different. Lbfi is the total path loss from the test area to the base station, di is the distance from the test area to the base station, and Ci is the medium loss in the target area when the test area is connected to the base station.

[0274] Specifically, " The determination process of the "constant value" is as follows: Obtain the test information of each test area, that is, the total path loss Lbfi from each test area to the base station, the distance di from each test area to the base station, and the medium loss Ci in the target area when each test area is connected to the base station. These information are all known constants obtained through calculation. Then substitute the test information into the preset calculation formula of βi, βi = 1 - (Lbfi - b - algdi - δ1) / (Ci - C1), to determine the test βi of each test area. Then, the βi of each test area can be added and divided by the number of test areas to obtain the constant value, so as to calibrate through multiple test areas to obtain an accurate value, making the first correspondence more accurate, so that the target signal strength of the user equipment can be predicted more accurately.

[0275] In one example, as Figure 3 shown, under the conditions of a small amount of indoor test point data and unknown base station location, the process of evaluating the cellular indoor signal attenuation and determining the signal strength is as follows:

[0276] 1) Obtain the indoor house type map, indoor area and indoor test area data, that is, obtain the area and medium distribution information of the target area, as well as the location and mobile phone signal strength of each test area.

[0277] 2) According to the second and third correspondences, combined with the indoor test area data, fit the distance d1 from the first target test area Top1 to the base station, the total correction factor δ1, and the indoor medium loss C1.

[0278] 3) According to the test area location, the total correction factor δ1, and the indoor medium loss C1, correct the indoor medium attenuation factor

[0279] 3) Obtain the indoor wireless transmission model from the base station, that is, obtain the first correspondence.

[0280] 4) According to the relative positions of the indoor test points and the edge nodes, determine the distance from each edge node to the base station. For example, if the distance from the first target test area to the base station is d1 and the distance from the first target test area to the edge node is dh, then the distance from the edge node to the base station is d1 - dh.

[0281] Next, no matter where the user equipment is in the target area, the signal strength of the user equipment can be determined:

[0282] 5) Given the distance from each edge node to the base station, the medium loss from each edge node to the user equipment can be known through the position of the sub-region where the user equipment is located and the position of the edge node. Select the three edge nodes corresponding to the minimum medium losses as the target edge nodes, and then obtain the average value of the medium losses from the three target nodes to the user equipment, which is the indoor medium loss of the user equipment. The average value of the distances from the three target edge nodes to the user equipment and the average value of the distances from the three target edge nodes to the base station can also be obtained. Adding the two average distances can obtain the distance from the user equipment to the base station.

[0283] 6) Substitute the distance from the user equipment to the base station and the indoor medium loss of the user equipment into the first corresponding relationship, and the target total path loss between the user equipment and the base station can be obtained.

[0284] 7) According to the second corresponding relationship, determine the target signal strength of the user equipment corresponding to the target total path loss and the base station transmission power, so that the indoor cellular signal distribution map, that is, the signal strength of each sub-region, can be obtained. Thus, under the conditions of a small amount of indoor test point data and unknown base station location, the cellular indoor signal attenuation can be accurately evaluated and the signal strength can be determined.

[0285] In another example, the process of determining the signal strength is as follows:

[0286] 1) Obtain the floor plan scale and test point information

[0287] Obtain the family floor plan and the indoor area S (m 2 ), obtain the number of floor plan pixels P, and obtain the actual length scale (m) corresponding to a unit pixel. At the same time, obtain the floor plan medium matrix, and the medium types include: load-bearing walls, ordinary walls, windows, and doors, and generate the signal attenuation value corresponding to a unit pixel. At the same time, obtain the test point list information, TP = [(x1, y1, s1), (x2, y2, s2)...]. k , where x i , y i represents the relative floor plan scale information, that is, the position information of the sub-region, and s i represents the mobile phone signal strength of the test point, and the unit is (dbm). The single-region medium loss matrix in the room is as follows:

[0288]

[0289] In the formula, it represents the m*n floor plan matrix, where l i represents the medium signal attenuation value corresponding to a unit pixel.

[0290] 2) Solve the distance from the test point to the base station and the correction factor

[0291] 2.1) Initialize the Okumura-Hata empirical formula for the cellular propagation loss model, where the base station transmit power f = 900, h b = 30, h m = 3, add the outdoor correction factor e and the indoor medium attenuation c = ∑l i , and the total correction factor δ = e + (1 - β)c. According to the signal value s i at the test point, the base station transmit power P t = 40, and the total path loss is L b = P t - s i .

[0292] 2.2 If the number of test points k = 1, assume that the correction factor e = 0, the indoor propagation medium loss c = 0, and δ1 = 0 at this time. Substitute the signal strength Si of the test point T1 into the Okumura-Hata empirical formula for the macrocellular model to solve for the base station distance d1.

[0293] 2.2) If the number of test points k > 1, sort by signal strength and select Top1 and Top2. If the signal strength difference between Top1 and Top2 is less than 3 dbm, then substitute it into the Okumura-Hata empirical formula to solve for the base station distance d and the correction factor δ, where δ includes the outdoor constant correction factor e and the indoor medium loss c, and assume that the correction factors δ of Top1 and Top2 test points are the same. Also, calculate the actual distance between the two based on the relative positions of the house types where Top1 and Top2 are located, obtain the known d0 = d1 - d2, and solve for the base station distance d1 and the correction factor δ1 of the test point T1 based on the above inputs.

[0294] L b = 69.55 + 26.16 lg f - 13.82 lg h b - α(h m ) + (44.9 - 6.55 lg h b ) lg d + δ Formula 1

[0295] δ = e + (1 - β)c

[0296]

[0297] 3) Obtain multi-dimensional edge node information

[0298] According to the house type matrix L and the base station distance d1 of the maximum signal test point obtained in step 2, obtain the matrix edge nodes edges = [(x1, y1, d1), (x2, y2, d2)....]8, where x i , y i represents the ratio relative to the house type diagram, and d iIndicates the distance between the edge node and the base station. There are 8 edge nodes, namely: the middle nodes on the upper, lower, left, and right edges of the matrix, and the nodes at the four corners of the matrix. Calculate the distance d between the test point T1 and the edge node according to the pixel distance of the house type h , and the distance d from the base station i , calculation formula:

[0299] d i = d1 - d h

[0300] 4) Correct the indoor medium attenuation coefficient and the outdoor constant correction factor

[0301] According to the data of all test points, for each test point, obtain the distance d between each edge node and the test point h , calculate the distance d from the test point to the base station d = d i + d h , and the medium loss c on the line connecting each edge node and the test point. Substitute into formula 1, select the 3 edge nodes corresponding to the minimum attenuation values of each test point, obtain the average medium attenuation c, and the corresponding average distance d. Substitute into the existing formula 1 to calculate the predicted signal P of the test point r , obtain the prediction error ΔP according to the actual signal value of the test point.

[0302]

[0303] Among them, b = 69.55 + 26.16lgf - 13.82lgh b - α(h m ), a = (44.9 - 6.55lgh b ), δ = e + (1 - β)c.

[0304] According to the c obtained from the test point T1, and the base station distance d1 and correction factor δ1 solved in step 2, obtain the following outdoor constant correction factor:

[0305] e = δ1 - (1 - β)c1

[0306] Calculate the prediction error ΔP of all test points, and obtain the mean value of the indoor medium correction coefficient β for all test points:

[0307] 5) Obtain the indoor signal distribution according to each edge node

[0308] According to the indoor propagation formula of the base station obtained in step 4, and the edge node information in step 3, calculate the signal attenuation value of each pixel point in the room to obtain an 8-dimensional radio frequency signal attenuation [l1, l2... l8], where the base station distance is the sum of the straight-line distance between the indoor pixel point and the edge node and the distance between the edge node and the base station d = di +d h The medium attenuation is the medium penetrated in the line connecting the two points, and thus a multi-dimensional signal distribution matrix diagram of any point in the room is obtained.

[0309]

[0310] 6) Filter the multi-dimensional signal matrix

[0311] Perform 3*3 matrix mean filtering on the pixel points. For example, the value of P22 can be determined again by adding the 8 Pii around P22 and P22 and then taking the mean. Similarly, except for the Pii at the edge in the P matrix, the P value can be re-determined to achieve the purpose of smoothing, getting closer to the real result of the signal strength. Integrate the field strength with the surrounding area. The above filtering takes into account the reflected signal and the outdoor multi-dimensional scattering. Convert the attenuation value to the color domain and display a heat map. The gradient color represents different field strength distributions, which can more intuitively display the strength of the signal intensity and meet the user's needs.

[0312] Figure 4 The embodiment of the present application provides a device for determining signal strength. The device 400 may include an acquisition module 410 and a determination module 420:

[0313] The acquisition module 410 is configured to acquire the location information of the user equipment in the target area, the location information of M edge areas, and the base station transmission power, where the target area includes multiple sub-areas, the edge area is a sub-area at the boundary of the target area, and M is a positive integer greater than or equal to 1;

[0314] The determination module 420 is configured to determine the medium loss between the user equipment and each edge area respectively according to the location information of the user equipment and the location information of M edge areas; determine the target distance between the user equipment and the base station according to the location information of the user equipment and the location information of M edge areas;

[0315] The determination module 420 is further configured to determine the target total path loss between the user equipment and the base station according to the first corresponding relationship among the preset medium loss, distance, and total path loss, the medium loss, and the target distance;

[0316] The determination module 420 is further configured to determine the target signal strength of the user equipment corresponding to the target total path loss and the base station transmission power according to the second corresponding relationship among the total path loss, the transmission power, and the signal strength.

[0317] In the signal strength determination device provided by the embodiments of the present application, by obtaining the location information of user equipment in the target area, the location information of M edge areas, and the base station transmission power, where the target area includes multiple sub-areas, the edge area is a sub-area at the boundary of the target area, and M is a positive integer greater than or equal to 1. Then, according to the location information of the user equipment and the location information of the M edge areas, the medium loss between the user equipment and each edge area can be determined. At the same time, according to the location information of the edge area and the location information of the user equipment, the target distance between the user equipment and the base station can also be determined. Then, according to the first correspondence relationship among the preset medium loss, distance, and total path loss, the medium loss between the user equipment and each edge area, and the target distance, the target total path loss between the user equipment and the base station can be determined. Furthermore, according to the second correspondence relationship among the total path loss, transmission power, and signal strength, the target signal strength of the user equipment corresponding to the target total path loss and the base station transmission power can be determined. By calculating the medium loss between the user equipment and the edge area and the target distance between the user equipment and the base station in the target area, and according to the calculated medium loss, target distance, and the trained first correspondence relationship, the total path loss when the user equipment is connected to the base station can be determined, and then the signal strength of the user equipment can be determined. It is possible to accurately evaluate the cellular signal field strength at any point in the room when the distance between the user equipment and the base station is unknown.

[0318] In some embodiments, it further includes:

[0319] An acquisition module, further configured to acquire the medium distribution information in the target area;

[0320] A determination module, further configured to determine the single-area medium loss of each sub-area according to the medium distribution information;

[0321] Determining the medium loss between the user equipment and each edge area according to the location information of the user equipment and the location information of the M edge areas includes:

[0322] Determining the medium loss between the user equipment and the edge area according to the location information of the user equipment, the location information of the M edge areas, and the single-area medium loss.

[0323] In some embodiments, it further includes a calculation module:

[0324] The determination module is further configured to determine the edge areas corresponding to N minimum medium losses among the M medium losses as the target edge areas, where N is less than M;

[0325] The calculation module is configured to calculate the average value of the medium losses between the user equipment and the target edge areas to obtain the target medium loss of the user equipment in the target area;

[0326] The determination module is used to determine the target distance between the user equipment and the base station according to the location information of the user equipment and the location information of M edge regions, including:

[0327] The determination module is used to determine the target distance between the user equipment and the base station according to the location information of N target edge regions and the location information of the user equipment;

[0328] The determination module is further used to determine the target total path loss between the user equipment and the base station according to the preset first correspondence relationship of medium loss, distance, and total path loss, medium loss, and target distance, including:

[0329] The determination module is further used to determine the target total path loss between the user equipment and the base station according to the preset first correspondence relationship of medium loss, distance, and total path loss, target medium loss, and target distance.

[0330] In some embodiments, it further includes:

[0331] The acquisition module is used to acquire the first distance between each target edge region and the base station;

[0332] The calculation module is used to calculate the average value of the first distances to obtain the first average distance between the target edge region and the base station;

[0333] The determination module is further used to determine the target distance between the user equipment and the base station according to the location information of N target edge regions and the location information of the user equipment, including:

[0334] The determination module is further used to determine the second distance between the user equipment and the target edge region according to the location information of N target edge regions and the location information of the user equipment;

[0335] The calculation module is further used to calculate the average value of the second distances to obtain the second average distance between the user equipment and the target edge region;

[0336] The calculation module is further used to add the first average distance and the second average distance to obtain the target distance between the user equipment and the base station.

[0337] In some embodiments, the preset first correspondence relationship of medium loss, distance, and total path loss is:

[0338]

[0339] Among them, Lbfi is the total path loss between the user equipment and the base station, b, a, C1, δ1, are constants, C1 and δ1 are determined based on the second corresponding relationship, where di and Ci are variables, di is the distance from the user equipment to the base station, and Ci is the medium loss of the user equipment in the target area.

[0340] In some embodiments, it further includes:

[0341] The determination module is further configured to determine Q sub-areas in the multiple sub-areas of the target area as test areas, where Q is a positive integer greater than 1;

[0342] The acquisition module is further configured to acquire the actual signal strength of each test area;

[0343] The determination module is further configured to determine the test area with the highest actual signal strength as the first target test area; determine the test area with the second highest actual signal strength as the second target test area;

[0344] The determination module is further configured to determine the first actual total path loss from the first target test area to the base station according to the second corresponding relationship between the total path loss, the transmit power, and the signal strength, the base station transmit power, and the actual signal strength of the first target test area; determine the second actual total path loss from the second target test area to the base station according to the second corresponding relationship between the total path loss, the transmit power, and the signal strength, the base station transmit power, and the actual signal strength of the second target test area;

[0345] The determination module is further configured to determine the constant value of δ1 according to the first actual total path loss and the second actual total path loss.

[0346] In some embodiments, the determination module is further configured to determine the constant value of δ1 according to the first actual total path loss and the second actual total path loss, including:

[0347] The determination module is further configured to determine the first equation according to the third corresponding relationship between the preset distance, the total correction factor, and the total path loss, and the first actual total path loss; determine the second equation according to the third corresponding relationship between the preset distance, the total correction factor, and the total path loss, and the second actual total path loss; determine the third equation according to the position information of the first target test area and the second target test area;

[0348] The determination module is further configured to determine the constant value of d1 and the constant value of δ1 according to the first equation, the second equation, the third equation, and the preset fourth equation, where d1 is the distance between the first target test area and the base station, and δ1 is the total correction factor between the first target test area and the base station;

[0349] Wherein, the third corresponding relationship is:

[0350] Lbfi = b + algdi + δi

[0351] Among them, Lbfi is the total path loss between the test area and the base station, b and a are constants, di and δi are variables, di is the distance from the test area to the base station, and δi is the total correction factor from the test area to the base station.

[0352] In some embodiments, it further includes:

[0353] A determination module, further configured to determine the first historical dielectric loss between the first target test area and each edge area respectively according to the location information of the first target test area and the location information of the M edge areas;

[0354] The determination module is further configured to determine the edge areas corresponding to the N minimum first historical dielectric losses among the M first historical dielectric losses as the first historical edge areas;

[0355] A calculation module, further configured to calculate the average value of the first historical dielectric loss between the first target test area and the first historical edge area to obtain the constant value of C1, where C1 is the target historical dielectric loss of the first target test area within the target area.

[0356] In some embodiments, it further includes:

[0357] An acquisition module, further configured to acquire the test information of each test area, where the test information includes the total path loss Lbfi from each test area to the base station, the distance di from each test area to the base station, and the dielectric loss Ci of each test area when connecting to the base station within the target area;

[0358] The determination module is further configured to determine the test βi of each test area according to the test information and the preset calculation formula of βi;

[0359] The calculation module is further configured to calculate the average value of the test βi to obtain the constant value of;

[0360] Among them, the calculation formula of βi is:

[0361] βi = 1 - (Lbfi - b - algdi - δ1) / (Ci - C1)

[0362] Among them, βi is the dielectric correction coefficient within the target area, a, b, δ1, and C1 are known constants, Lbfi, di, and Ci are variables, the Lbfi, di, and Ci of each test area are different, Lbfi is the total path loss from the test area to the base station, di is the distance from the test area to the base station, and Ci is the dielectric loss of the test area when connecting to the base station within the target area.

[0363] In some embodiments, before the acquisition module is configured to acquire the test information of each test area, the device further includes:

[0364] The determination module is further configured to respectively determine the second historical dielectric losses between each test area and each edge area according to the position information of each test area and the position information of the M edge areas.

[0365] The determination module is further configured to determine the edge areas corresponding to N minimum second historical dielectric losses among the M second historical dielectric losses as the second historical edge areas.

[0366] Calculate the average value of the second historical dielectric losses between the test area and the second historical edge areas to obtain the constant value of Ci for each test area.

[0367] In some embodiments, it further includes:

[0368] The acquisition module is further configured to acquire the distance from each second historical edge area to the base station and the distance from the test area to each second historical edge area.

[0369] The determination module is further configured to calculate the average value of the distances from the second historical edge areas to the base station to obtain the first average distance; calculate the average value of the distances from the test area to each second historical edge area to obtain the second average distance.

[0370] The determination module is further configured to add the first average distance and the second average distance to obtain the constant value of di, which is the distance from the test area to the base station.

[0371] Each module in the signal strength determination device provided by the embodiments of the present application can implement Figures 1 to 3 The functions of each step of the signal strength determination method provided, and can achieve the corresponding technical effects. For the sake of brevity, they will not be described herein again.

[0372] Figure 5 FIG. shows the hardware structure diagram of the signal strength determination device provided by the embodiments of the present application.

[0373] In the signal strength determination device, it may include a processor 501 and a memory 502 storing computer program instructions.

[0374] Specifically, the above-mentioned processor 501 may include a Central Processing Unit (CPU), or an Application Specific Integrated Circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0375] The memory 502 may include a mass storage for data or instructions. By way of example and not limitation, the memory 502 may include a hard disk drive (HDD), a floppy disk drive, a flash memory, an optical disk, a magneto-optical disk, a magnetic tape, or a universal serial bus (USB) drive, or a combination of two or more of these. In a suitable case, the memory 502 may include removable or non-removable (or fixed) media. In a suitable case, the memory 502 may be inside or outside the signal strength determination device. In a particular embodiment, the memory 502 is a non-volatile solid-state memory.

[0376] The memory may include a read only memory (ROM), a random access memory (RAM), a magnetic disk storage media device, an optical storage media device, a flash memory device, an electrical, optical, or other physical / tangible memory storage device. Thus, generally, the memory includes one or more tangible (non-transitory) computer-readable storage media (e.g., memory devices) encoded with software including computer-executable instructions, and when the software is executed (e.g., by one or more processors), it is operable to perform the operations described with reference to the method according to an aspect of the present disclosure.

[0377] The processor 501 reads and executes the computer program instructions stored in the memory 502 to implement any one of the signal strength determination methods in the above embodiments.

[0378] In one example, the signal strength determination device may further include a communication interface 503 and a bus 504. Among them, as Figure 5 shown, the processor 501, the memory 502, and the communication interface 503 are connected through the bus 504 and complete communication with each other.

[0379] The communication interface 503 is mainly used to implement communication between the various modules, devices, units, and / or devices in the embodiments of the present application.

[0380] The bus 504 includes hardware, software, or both, and couples components of the signal strength determination device to each other. By way of example and not limitation, the bus may include an Accelerated Graphics Port (AGP) or other graphics bus, an Extended Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a Hyper Transport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an InfiniBand interconnect, a Low Pin Count (LPC) bus, a memory bus, a MicroChannel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (Peripheral Component Interconnect-X, PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a Video Electronics Standards Association Local (VESA Local Bus, VLB) bus, or other suitable buses or a combination of two or more of these. Where appropriate, the bus 504 may include one or more buses. Although embodiments of the present application describe and illustrate specific buses, the present application contemplates any suitable bus or interconnect.

[0381] The device may execute the signal strength determination method in the embodiments of the present application based on each unit / component in the signal strength determination device, so as to implement the combination Figures 1 to 3 of the described signal strength determination method.

[0382] In addition, in combination with the signal strength determination method in the above embodiments, embodiments of the present application may provide a computer storage medium to implement. Computer program instructions are stored on the computer storage medium; when the computer program instructions are executed by a processor, any one of the signal strength determination methods in the above embodiments is implemented.

[0383] The present application also provides a computer program product. When the instructions in the computer program product are executed by a processor of an electronic device, the electronic device is caused to execute each process of implementing any one of the above signal strength determination method embodiments.

[0384] It should be clear that the present application is not limited to the specific configurations and processes described above and shown in the figures. For the sake of brevity, detailed descriptions of known methods are omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of the present application is not limited to the specific steps described and shown. Those skilled in the art can make various changes, modifications, and additions, or change the order between steps after understanding the spirit of the present application.

[0385] The functional blocks shown in the above structural block diagrams can be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, it can be, for example, an electronic circuit, an application specific integrated circuit (ASIC), appropriate firmware, a plug-in, a functional card, and so on. When implemented in software, the elements of the present application are programs or code segments used to perform the required tasks. The program or code segment can be stored in a machine-readable medium or transmitted via a data signal carried in a carrier wave on a transmission medium or a communication link. "Machine-readable medium" can include any medium capable of storing or transmitting information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, read-only memory (ROM), flash memory, erasable read-only memory (EROM), floppy disks, compact disc read-only memory (CD-ROM), optical discs, hard disks, fiber optic media, radio frequency (RF) links, and so on. The code segment can be downloaded via a computer network such as the Internet, intranet, etc.

[0386] It should also be noted that in the exemplary embodiments mentioned in the present application, some methods or systems are described based on a series of steps or devices. However, the present application is not limited to the order of the above steps. That is, the steps can be executed in the order mentioned in the embodiments, or different from the order in the embodiments, or several steps can be executed simultaneously.

[0387] Aspects of the present disclosure have been described above with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to embodiments of the present disclosure. It should be understood that each block in the flowchart and / or block diagram, and the combinations of blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device to produce a machine, such that the instructions executed by the processor of the computer or other programmable data processing device enable the implementation of the functions / operations specified in one or more blocks of the flowchart and / or block diagram. Such a processor can be, but is not limited to, a general-purpose processor, a special-purpose processor, a special application processor, or a field programmable logic circuit. It should also be understood that each block in the block diagram and / or flowchart, and the combinations of blocks in the block diagram and / or flowchart, can also be implemented by dedicated hardware that performs the specified functions or operations, or can be implemented by a combination of dedicated hardware and computer instructions.

[0388] The above is only the specific implementation manner of the present application. Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the systems, modules, and units described above can refer to the corresponding processes in the foregoing method embodiments, and will not be elaborated herein. It should be understood that the protection scope of the present application is not limited thereto. Any person skilled in the art can easily think of various equivalent modifications or substitutions within the technical scope disclosed in the present application, and these modifications or substitutions should all be covered by the protection scope of the present application.

Claims

1. A method for determining signal strength, characterized in that Including: Obtain the location information of user equipment in the target area, the location information of M edge areas, and the base station transmission power, where the target area includes a plurality of sub-areas, the edge areas are the sub-areas at the boundary of the target area, and M is a positive integer greater than or equal to 1; Determine the dielectric loss between the user equipment and each of the edge areas respectively according to the location information of the user equipment and the location information of the M edge areas; determine the target distance between the user equipment and the base station according to the location information of the user equipment and the location information of the M edge areas; Determine the target total path loss between the user equipment and the base station according to a first correspondence relationship among the preset dielectric loss, distance, and total path loss, the dielectric loss, and the target distance; Determine the target signal strength of the user equipment corresponding to the target total path loss and the base station transmission power according to a second correspondence relationship among the total path loss, transmission power, and signal strength.

2. The method according to claim 1, wherein Also including: Obtain the dielectric distribution information in the target area; Determine the single-area dielectric loss of each sub-area according to the dielectric distribution information; The step of determining the dielectric loss between the user equipment and each of the edge areas respectively according to the location information of the user equipment and the location information of the M edge areas includes: Determine the dielectric loss between the user equipment and the edge area according to the location information of the user equipment, the location information of the M edge areas, and the single-area dielectric loss.

3. The method according to claim 1, wherein Also including: Determine the edge areas corresponding to N minimum dielectric losses among the M dielectric losses as the target edge areas, where N is less than M; Calculate the average value of the dielectric losses between the user equipment and the target edge areas to obtain the target dielectric loss of the user equipment in the target area; The step of determining the target distance between the user equipment and the base station according to the location information of the user equipment and the location information of the M edge areas includes: Determine the target distance between the user equipment and the base station according to the location information of the N target edge areas and the location information of the user equipment; The step of determining the target total path loss between the user equipment and the base station according to a first correspondence relationship among the preset dielectric loss, distance, and total path loss, the dielectric loss, and the target distance includes: Determine the target total path loss between the user equipment and the base station according to a first correspondence relationship among the preset dielectric loss, distance, and total path loss, the target dielectric loss, and the target distance.

4. The method according to claim 3, wherein Also including: Obtain the first distance between each target edge area and the base station; Calculate the average value of the first distances to obtain the first average distance between the target edge areas and the base station; The step of determining the target distance between the user equipment and the base station according to the location information of the N target edge areas and the location information of the user equipment includes: Determine a second distance between the user equipment and the target edge region according to the position information of the N target edge regions and the position information of the user equipment; Calculate an average value of the second distances to obtain a second average distance between the user equipment and the target edge region; Add the first average distance and the second average distance to obtain a target distance between the user equipment and the base station.

5. The method according to claim 1, characterized in that The preset first correspondence relationship among the medium loss, distance, and total path loss is: Lbfi = b + algdi + δ1 + (1 - β)(Ci - C1) where Lbfi is the total path loss between the user equipment and the base station, b, a, C1, δ1, β are constants, β, C1, δ1 are determined based on the second correspondence relationship, di, Ci are variables, di is the distance between the user equipment and the base station, and Ci is the medium loss of the user equipment in the target region.

6. The method according to claim 5, characterized in that, It further includes: Among the multiple sub-regions of the target region, determine Q sub-regions as test regions, where Q is a positive integer greater than 1; Obtain the actual signal strength of each test region; Determine the test region with the highest actual signal strength as the first target test region; determine the test region with the second highest actual signal strength as the second target test region; According to the second correspondence relationship among the total path loss, transmit power, and signal strength, the base station transmit power, and the actual signal strength of the first target test region, determine the first actual total path loss from the first target test region to the base station; according to the second correspondence relationship among the total path loss, transmit power, and signal strength, the base station transmit power, and the actual signal strength of the second target test region, determine the second actual total path loss from the second target test region to the base station; Determine the constant value of δ1 according to the first actual total path loss and the second actual total path loss.

7. The method according to claim 6, characterized in that The determining the constant value of δ1 according to the first actual total path loss and the second actual total path loss includes: Determine a first equation according to the preset third correspondence relationship among the distance, total correction factor, and total path loss and the first actual total path loss; determine a second equation according to the preset third correspondence relationship among the distance, total correction factor, and total path loss and the second actual total path loss; determine a third equation according to the position information of the first target test region and the second target test region; Determine the constant value of d1 and the constant value of δ1 according to the first equation, the second equation, the third equation, and a preset fourth equation, where d1 is the distance between the first target test region and the base station, and δ1 is the total correction factor between the first target test region and the base station; where the third correspondence relationship is: Lbfi = b + algdi + δi where Lbfi is the total path loss between the test region and the base station, b, a are constants, di, δi are variables, di is the distance between the test region and the base station, and δi is the total correction factor between the test region and the base station.

8. The method according to claim 7, wherein Further included are: Determine the first historical dielectric loss between the first target test area and each of the M edge areas according to the position information of the first target test area and the position information of the M edge areas; Determine the edge areas corresponding to N minimum first historical dielectric losses among the M first historical dielectric losses as the first historical edge areas; Calculate the average value of the first historical dielectric losses between the first target test area and the first historical edge areas to obtain the constant value of C1, where C1 is the target historical dielectric loss of the first target test area within the target area.

9. The method according to claim 8, characterized in that, Further included are: Obtain the test information of each test area, where the test information includes the total path loss Lbfi from each test area to the base station, the distance di from each test area to the base station, and the dielectric loss Ci of each test area when connecting to the base station within the target area; Determine the test βi of each test area according to the test information and the preset calculation formula of βi; Calculate the average value of the test βi to obtain the constant value of β; Wherein, the calculation formula of βi is: βi = 1 - (Lbfi - b - algdi - δ1) / (Ci - C1) Where βi is the dielectric correction coefficient within the target area, a, b, δ1, and C1 are known constants, Lbfi, di, and Ci are variables, and Lbfi, di, and Ci of each test area are different. Lbfi is the total path loss from the test area to the base station, di is the distance from the test area to the base station, and Ci is the dielectric loss of the test area when connecting to the base station within the target area.

10. The method according to claim 9, wherein Before obtaining the test information of each test area, the method further includes: Respectively determine the second historical dielectric loss between each test area and each edge area according to the position information of each test area and the position information of the M edge areas; Determine the edge areas corresponding to N minimum second historical dielectric losses among the M second historical dielectric losses as the second historical edge areas; Calculate the average value of the second historical dielectric losses between the test area and the second historical edge areas to obtain the constant value of Ci of each test area.

11. The method according to claim 10, wherein Further included are: Obtain the distance from each second historical edge area to the base station and the distance from the test area to each second historical edge area; Calculate the average value of the distances from the second historical edge areas to the base station to obtain the first average distance; calculate the average value of the distances from the test area to each second historical edge area to obtain the second average distance; Add the first average distance and the second average distance to obtain the constant value of di, the distance from the test area to the base station.

12. A device for determining signal strength, characterized in that Included are: An acquisition module, configured to acquire the position information of user equipment within a target area, the position information of M edge areas, and the base station transmission power, where the target area includes multiple sub-areas, the edge areas are the sub-areas at the boundary of the target area, and M is a positive integer greater than or equal to 1; A determination module, configured to determine the dielectric loss between the user equipment and each of the M edge regions according to the location information of the user equipment and the location information of the M edge regions; and determine the target distance between the user equipment and the base station according to the location information of the user equipment and the location information of the M edge regions. The determination module is further configured to determine the target total path loss between the user equipment and the base station according to a first correspondence relationship among a preset dielectric loss, distance, and total path loss, the dielectric loss, and the target distance. The determination module is further configured to determine the target signal strength of the user equipment corresponding to the target total path loss and the base station transmission power according to a second correspondence relationship among total path loss, transmission power, and signal strength.

13. An electronic device, characterized in that, The electronic device includes: a processor and a memory storing computer program instructions; when the processor executes the computer program instructions, the method for determining signal strength according to any one of claims 1 to 11 is implemented.

14. A computer-readable storage medium, characterized in that, Computer program instructions are stored on the computer-readable storage medium, and when the computer program instructions are executed by a processor, the method for determining signal strength according to any one of claims 1 to 11 is implemented.

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