Method for fitting distance from mobile terminal to cell through electromagnetic wave receiving intensity

Abstract

The invention discloses a method for fitting the distance from a mobile terminal to a cell through electromagnetic wave receiving intensity, and belongs to the technical field of mobile communication. Comprising the following steps: S1, acquiring the receiving power of each cell reference signal measured by a mobile terminal; s2, calculating the path loss of the wireless signal in the spatial propagation process from the base station to the mobile terminal according to the received power of the reference signal; and S3, based on the relationship between the probability of path loss and the propagation distance in the outdoor macro coverage scene, fitting to obtain the distance from the mobile terminal to the cell. The technical scheme has the beneficial effects that the distance from the mobile terminal to the cell is calculated by using the reference signal receiving power received by the mobile terminal, the method can be used in 4G and 5G network environments, special auxiliary equipment is not needed, and the implementation cost is low.

Description

Technical Field

[0001] The present invention relates to the field of mobile communication technology, and in particular to a method for fitting the distance from a mobile terminal to a cell. Background Art

[0002] In the network optimization and market development of the telecommunications industry, there is a widespread demand for positioning of ordinary mobile terminals (such as mobile phones). As a common mobile phone positioning method, triangulation positioning uses the signal multipath information of multiple cells measured by the mobile terminal to determine the terminal position through geometric calculation. This method is widely used in early mobile standard scenarios such as 2G / 3G mainly because of its low cost and ability to locate ordinary mobile phone users. The triangulation positioning method estimates the distance between the mobile terminal and the cells by measuring the propagation time between the mobile terminal and multiple cells. Since the speed of light propagation in space is constant, the distance between the mobile terminal and the base station can be calculated by the propagation time. These measurement results (usually the propagation time of 1 to 6 cells) will be reported through the user's call detail record, and after distance conversion, they will be applied to triangulation positioning to obtain the terminal's location information.

[0003] However, under the new generation of mobile communication standards such as 4G and 5G, the positioning method of ordinary mobile phones has changed. In these standards, the user call detail record only reports the propagation time of the service cell (ie, the "Tadv" time advance), and no longer reports the propagation time of the non-service cell. Due to the lack of measurement data from multiple cells, the traditional triangulation positioning method cannot be effectively applied in the 4G and 5G network environment, resulting in the inability to accurately locate the position of ordinary mobile terminals through this method; although high-precision positioning technologies such as GPS (Global Positioning System), Beidou positioning, fingerprint algorithm positioning and beacon positioning can provide more accurate location information, these technologies are often subject to multiple restrictions such as legal regulations, equipment costs and additional hardware requirements, and are difficult to popularize in network optimization and market development in the telecommunications industry. Summary of the invention

[0004] The purpose of the present invention is to provide a method for fitting the distance from a mobile terminal to a cell by electromagnetic wave reception intensity to solve the above technical problems;

[0005] A method for fitting the distance from a mobile terminal to a cell by electromagnetic wave reception intensity, comprising:

[0006] Step S1, obtaining the received power of the reference signal of each cell measured by the mobile terminal;

[0007] Step S2, calculating the path loss of the wireless signal in the spatial propagation process from the base station to the mobile terminal according to the received power of the reference signal;

[0008] Step S3: Based on the relationship between the probability of the path loss and the propagation distance in the outdoor macro coverage scenario, the distance from the mobile terminal to the cell is obtained by fitting.

[0009] Preferably, step S1 comprises,

[0010] Step S11, the base station sends a reference signal to an area of ​​the outdoor macro coverage scenario;

[0011] Step S12, the mobile terminal receives and measures the received power of the reference signal to form a user call record measurement report;

[0012] Step S13: Acquire the received power of the reference signal according to the user call record measurement report reported by the mobile terminal.

[0013] Preferably, step S2 comprises,

[0014] Step S21, calculating the path loss of the wireless signal propagating in space according to an electromagnetic wave link budget formula;

[0015] Step S22: setting a recommended value of a variable affecting the path loss based on the wireless scenario and the first recommended value setting strategy.

[0016] Preferably, the electromagnetic wave link budget formula in step S21 is:

[0017] PL b1 =Pt-Pr-PL tw -PLsf-PLf+Gt+Gr-Lc;

[0018] Among them, PL b1 Represents the path loss of the wireless signal propagating in space;

[0019] Pt represents the transmit power of the reference signal;

[0020] Pr represents the reception level of the reference signal;

[0021] PL tw represents the penetration loss;

[0022] PLsf represents shadow fading;

[0023] PLf represents the feeder loss of the base station;

[0024] Gt represents the transmitting antenna gain;

[0025] Gr represents the receiving antenna gain;

[0026] Lc represents the attenuation of the cable and the cable head.

[0027] Preferably, the wireless scenarios in step S22 include dense urban areas, urban areas, suburban areas and rural areas;

[0028] The transmit power of the reference signal is obtained by querying the configuration data of the cell;

[0029] The reception level of the reference signal is obtained according to the reception power of the reference signal.

[0030] Preferably, in step S22, the first recommended value setting strategy is to determine the variable recommended value according to the distribution information of the base stations, the building distribution information, the user aggregation information, the configuration parameters of the base stations, and the antenna type and gain of the base stations;

[0031] The distribution information of the base stations includes the spacing, type and height of the base stations;

[0032] The building distribution information includes building density and building height;

[0033] The user aggregation information includes the number of users and user distribution;

[0034] The configuration parameters of the base station include the transmit power of the reference signal.

[0035] Preferably, step S3 comprises,

[0036] Step S31, obtaining the path loss in the outdoor macro coverage scenario through a probability model;

[0037] Step S32, obtaining the distance from the mobile terminal to the base station based on the deformation of the probability model;

[0038] Step S33: setting a recommended value of a calculation factor affecting the distance based on a second recommended value setting strategy.

[0039] Preferably, the probability model in step S31 is processed using the following formula to obtain the path loss in the outdoor macro coverage scenario:

[0040]

[0041] Among them, PL b2 represents the path loss in the outdoor macro coverage scenario;

[0042] W represents the width of the street;

[0043] h represents the building height;

[0044] h BS represents the actual antenna height of the base station;

[0045] d 3D represents the 3D distance between the mobile terminal and the base station;

[0046] f c Indicates the carrier center frequency;

[0047] h UT Indicates the user equivalent height.

[0048] Preferably, the second recommended value setting strategy in step S33 is:

[0049] The recommended value of the calculation factor is determined according to the distribution information of the base stations, the building distribution information, and the average height of users.

[0050] Preferably, the actual antenna height of the base station is obtained by querying basic data of the base station, and the carrier center frequency is obtained by querying basic data of the cell.

[0051] The beneficial effects of the present invention are: the distance from the mobile terminal to the cell is calculated by using the reference signal reception power received by the mobile terminal, which can be used in 4G and 5G network environments, does not require special auxiliary equipment, and has low implementation costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 It is a step diagram of a method for fitting the distance between a mobile terminal and a cell by electromagnetic wave reception intensity according to the present invention;

[0053] Figure 2 is a schematic diagram of step S1 of the present invention;

[0054] Figure 3 is a schematic diagram of step S2 of the present invention;

[0055] Figure 4 It is a schematic diagram of step S3 of the present invention. DETAILED DESCRIPTION

[0056] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0057] It should be noted that, in the absence of conflict, the embodiments of the present invention and the features in the embodiments may be combined with each other.

[0058] The present invention will be further described below with reference to the accompanying drawings and specific embodiments, but they are not intended to limit the present invention.

[0059] A method for fitting the distance from a mobile terminal to a cell by electromagnetic wave reception intensity, such as Figure 1 As shown, including,

[0060] Step S1, obtaining the received power of the reference signal of each cell measured by the mobile terminal;

[0061] Step S2, calculating the path loss of the wireless signal in the spatial propagation process from the base station to the mobile terminal according to the received power of the reference signal;

[0062] Step S3, based on the relationship between the probability of path loss and propagation distance in the outdoor macro coverage scenario, the distance between the mobile terminal and the cell is obtained by fitting.

[0063] Specifically, the present invention provides a method for fitting the distance from a mobile terminal to a cell by means of electromagnetic wave reception intensity, and calculates the distance from the mobile terminal to the cell by means of the reference signal reception power (RSRP) received by the mobile terminal. The method can be applied to the location positioning of ordinary mobile terminals in existing networks, does not require special auxiliary equipment, and has low implementation cost.

[0064] In a preferred embodiment, referring to Figure 2 , step S1 comprises,

[0065] Step S11, the base station sends a reference signal to an area of ​​an outdoor macro coverage scenario;

[0066] Step S12, the mobile terminal receives and measures the received power of the reference signal, and forms a user call record measurement report;

[0067] Step S13: Acquire the received power of the reference signal according to the user call record measurement report reported by the mobile terminal.

[0068] Specifically, the reference signal received powers of the serving cell and the non-serving cell measured by the mobile terminal are queried according to the user call detail record measurement report (MR, Measurement Report).

[0069] According to the basic principle of electromagnetic wave propagation, the signal strength (reference signal received power) is inversely proportional to the propagation distance. During the spatial propagation of the reference signal transmitted by the base station, the farther away from the base station, the weaker the signal strength received by the mobile terminal. By obtaining the reference signal received power of multiple cells, it is equivalent to obtaining multiple distance-related information.

[0070] By obtaining the reference signal received power of the serving cell and the non-serving cell, the location of the mobile terminal can be comprehensively considered from the perspective of multiple signal sources. The base stations of different cells are located at different locations, and the signal strengths received by the mobile terminal from different cells are also different. Using this information, the location of the mobile terminal within the coverage of multiple cells can be more accurately located, rather than relying solely on the signal of a serving cell, thereby improving the accuracy of positioning.

[0071] In an actual communication network, a mobile terminal may be in an overlapping area covered by signals of multiple cells. Obtaining the reference signal received powers of multiple cells (including serving cells and non-serving cells) can better adapt to such a complex network environment.

[0072] For example, in a city center, base stations are densely distributed and signal coverage areas overlap with each other. At this time, considering the signal strengths of multiple cells helps to more accurately determine the position of the mobile terminal relative to each cell.

[0073] In a preferred embodiment, referring to Figure 3 , step S2 comprises,

[0074] Step S21, calculating the path loss of the wireless signal propagating in space according to the electromagnetic wave link budget formula;

[0075] Step S22: setting a recommended value of a variable affecting the path loss based on the wireless scenario and the first recommended value setting strategy.

[0076] Specifically, in different wireless scenarios, factors affecting path loss vary greatly. The variable recommended value is set based on the wireless scenario and the first recommended value setting strategy in order to be more in line with the actual situation.

[0077] In a preferred embodiment, the electromagnetic wave link budget formula in step S21 is:

[0078] PL b1 =Pt-Pr-PL tw -PLsf-PLf+Gt+Gr-Lc;

[0079] Among them, PL b1 Represents the path loss of wireless signal propagation in space;

[0080] Pt represents the transmit power of the reference signal;

[0081] Pr represents the received level of the reference signal;

[0082] PL tw represents the penetration loss;

[0083] PLsf represents shadow fading;

[0084] PLf represents the feeder loss of the base station;

[0085] Gt represents the transmitting antenna gain;

[0086] Gr represents the receiving antenna gain;

[0087] Lc represents the attenuation of the cable and the cable head.

[0088] In a preferred embodiment, the wireless scenarios in step S22 include dense urban areas, urban areas, suburban areas, and rural areas;

[0089] The transmit power of the reference signal is obtained by querying the configuration data of the cell;

[0090] The received level of the reference signal is obtained based on the received power of the reference signal;

[0091] The first recommended value setting strategy in step S22 is to determine the variable recommended value based on the distribution information of the base station, the building distribution information, the user aggregation information, the configuration parameters of the base station, and the antenna type and gain of the base station;

[0092] The base station distribution information includes the spacing, type and height of the base stations;

[0093] Building distribution information includes building density and building height;

[0094] User aggregation information includes the number of users and user distribution;

[0095] The configuration parameters of the base station include the transmit power of the reference signal.

[0096] Specifically, in mobile communications, different scenarios are distinguished according to actual wireless environments such as base station spacing, building height, user distribution, etc. In different scenarios, factors that affect the attenuation of electromagnetic wave spatial propagation paths present different values.

[0097] The present invention adopts a scene classification method commonly used in mobile communications to divide the existing network wireless environment into four categories: dense urban area, urban area, suburban area and rural area.

[0098] For these four scenarios, the recommended values ​​of various factors affecting the path loss of electromagnetic wave space propagation are set respectively, as shown in the following table.

[0099]

[0100]

[0101] The recommended values ​​for each of the above factors are as follows:

[0102] (1) The reference signal transmission power Pt is obtained according to the transmission power of the cell reference signal.

[0103] (2) The reference signal reception level Pr is obtained based on the reference signal reception power of the serving cell and the non-serving cell.

[0104] Among them, the RSRP fields reported by MRs of different manufacturers are different. For example, the RSRP reported by Huawei MR includes the primary cell RSRP field "LteScRSRP" and the neighbor cell RSRP field "LteScRSRP".

[0105] (3) The principles for setting the recommended values ​​of other influencing factors include but are not limited to the following:

[0106] a. Construction status of existing base stations, such as base station spacing, base station type and base station height.

[0107] b. Distribution of terrain and landforms, such as building density and building height.

[0108] c. User aggregation, such as the number of users and user distribution.

[0109] d. Existing network base station configuration parameters, such as the transmit power of the cell reference signal.

[0110] e. Base station antenna type and gain.

[0111] It is necessary to consider all the above principles and then set the recommended values.

[0112] For example, in a city with 4G LTE (Fourth-Generation Long-Term Evolution) network, the following settings can be used:

[0113] The penetration loss in dense urban areas is value1_13=0 (db).

[0114] The penetration loss in urban areas is value1_23=0 (db).

[0115] The shadow fading in the urban area is value1_24=15(db).

[0116] The suburban shadow fading is value1_34=6(db).

[0117] The transmission gain of the base station antenna in a densely populated urban area is value1_15=17 (dbi).

[0118] The transmission gain of the base station antenna in the urban area is value1_25=17 (dbi).

[0119] In a preferred embodiment, referring to Figure 4 , step S3 comprises,

[0120] Step S31, obtaining the path loss in an outdoor macro coverage scenario through a probability model;

[0121] Step S32, obtaining the distance from the mobile terminal to the base station after deformation based on the probability model;

[0122] Step S33: setting a recommended value of a calculation factor affecting the distance based on a second recommended value setting strategy.

[0123] Specifically, in outdoor environments, the propagation of wireless signals is affected by many random factors, such as the distribution and height of buildings, terrain undulations, weather conditions, etc. The probability model describes the relationship between path loss and propagation distance in a statistical way by considering these random factors.

[0124] When the signal strength information received by the mobile terminal is known (such as the reference signal received power), the path loss can be inferred by substituting it into the probability model, and then the distance from the mobile terminal to the base station can be solved by model deformation. This makes full use of the inherent connection between various factors and conforms to the propagation law of wireless signals in complex outdoor environments.

[0125] In a preferred embodiment, the probability model in step S31 uses the following formula to obtain the path loss in the outdoor macro coverage scenario:

[0126]

[0127] Among them, PL b2 represents the path loss in outdoor macro coverage scenario;

[0128] W represents the width of the street;

[0129] h represents the building height;

[0130] h BS Indicates the actual antenna height of the base station;

[0131] d 3D Indicates the 3D distance between the mobile terminal and the base station;

[0132] f c Indicates the carrier center frequency;

[0133] h UT Indicates the user equivalent height.

[0134] Specifically, in step S32, the distance from the mobile terminal to the base station is obtained based on the deformation of the probability model, and the formula of the probability model is deformed to:

[0135]

[0136] In a preferred embodiment, the second recommended value setting strategy in step S33 is:

[0137] Determine the recommended value of the calculation factor based on the base station distribution information, building distribution information, and the average height of users;

[0138] The actual antenna height of the base station is obtained by querying the basic data of the base station, and the carrier center frequency is obtained by querying the basic data of the cell.

[0139] Specifically, the recommended values ​​are set for the key calculation factors of the distance between the mobile terminal and the base station, as shown in the following table:

[0140]

[0141] The recommended values ​​for each of the above factors are as follows:

[0142] (1) Antenna height h of the macro base station BS You can query the basic data of base stations to obtain it.

[0143] (2) The carrier center frequency fc can be obtained by querying the basic data of the cell.

[0144] Taking the 4G LTE network of a certain city as an example, the frequency point (GHz) field can be obtained by querying the "frequency band" field in the basic data table "LTE_cell_info".

[0145] (3) The principles for setting the recommended values ​​of other influencing factors include but are not limited to the following:

[0146] a. Construction status of existing base stations, such as base station spacing, base station type and base station height.

[0147] b. Distribution of terrain and landforms, such as building density, building height, and street width.

[0148] c. The average height of users.

[0149] You need to consider all the above principles and then set the recommended values. For example, taking the 4G LTE network in a certain city as an example, you can set:

[0150] The street width is value2_11=20(m).

[0151] The user equivalent height is value2_15=1.5 (m).

[0152] The present invention utilizes the power attenuation law of electromagnetic wave propagation in space, and integrates methods such as electromagnetic wave link budget, electromagnetic wave space propagation path loss and setting recommended values ​​of key parameters, and finally uses the reference signal receiving power received by the mobile terminal to calculate the distance from the mobile terminal to the cell.

[0153] The present invention is applicable to mobile standards using OFDM (Orthogonal Frequency-Division Multiplexing) technology, such as position positioning calculation of ordinary mobile terminals in 4G and 5G networks; and no special auxiliary equipment is required, and the implementation cost is extremely low.

[0154] Taking the 4G wireless network of a certain city as an example, the specific implementation process of a method for fitting the distance between the mobile terminal and the cell using the reference signal received power in 4G and 5G is as follows:

[0155] Step 1: Tadv (time advance) is the time difference caused by the distance between the terminal and the base station, which is directly counted by the network management. It is not affected by factors such as shadow fading and penetration loss, and has higher accuracy. Therefore, in the LTE MR data, the Tadv of the primary service cell is used to calculate the distance as much as possible; if there is no Tadv in the primary service cell, RSRP is used to fit the distance:

[0156] D = Tadv × 78m;

[0157] Step 2: The transmit power of the RS reference signal can be obtained through the configuration data of the LTE cell:

[0158] The transmit power parameter of the RS reference signal of Huawei equipment is "PDSCHCfg":

[0159] Reference signal power = ReferenceSignalPwr / 10 (dBm);

[0160] Step 3: Perform measurement report optimization (MRO) in advance to extract the RSRP (dBm) of the serving cell and neighboring cells.

[0161] Step 4: Calculate the path loss;

[0162] (1) Path loss (dB) = reference signal transmission power (dBm) - reference signal reception level RSRP (dBm) - penetration loss (dB) - shadow fading (dB) - base station feeder loss (dB) + base station antenna transmission gain (dBi) + terminal antenna reception gain (dBi) - terminal reception cable and human body loss (dB);

[0163] (2) The methods for obtaining relevant parameters and the recommended value settings are shown in the following table:

[0164]

[0165]

[0166] Step 5: Calculate the access distance between the mobile phone and the base station antenna based on the RS reference signal transmission power and reception level;

[0167] (1) According to the link budget formula, the access distance can be calculated by path loss: D = 10^((path loss (dB)-161.04+7.1*log 10 (20)-7.5*log 10 (20)+(24.37-3.7*(20 / antenna height (m))^2)*log 10 (Antenna height (m))-20*log 10 (frequency (GHz))+(3.2*(log 10 (11.75*UE height (m)))^2-4.97)+3*(43.42-3.1*log 10 (Antenna height (m)))) / (43.42-3.1*log 10 (Antenna height (m))));

[0168] (2) The methods for obtaining relevant parameters and the recommended value settings are shown in the following table:

[0169]

[0170] Step 6: Current network effect. Through the current network test, 49 outdoor road test samples were collected. The test results show that after using the present invention in combination with other methods:

[0171] A. The positioning accuracy has been increased from 526.3 meters before the invention was used to 146.18 meters, an increase of 72.22%.

[0172]

[0173] B. The positioning accuracy of 80% of the test samples can reach 56.71 meters.

[0174] The present invention is aimed at the field of mobile communications. Based on basic data and detailed records of user calls, the reference signal receiving power is used to fit the distance from the mobile terminal to the cell. It is also applicable to 5G and a mobile standard that adopts OFDM technology.

[0175] The above description is only a preferred embodiment of the present invention, and does not limit the implementation mode and protection scope of the present invention. For those skilled in the art, it should be aware that all solutions obtained by equivalent substitutions and obvious changes made using the description and illustrations of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for fitting the distance from a mobile terminal to a cell by electromagnetic wave reception intensity, characterized in that: include, Step S1, obtaining the received power of the reference signal of each cell measured by the mobile terminal; Step S2, calculating the path loss of the wireless signal in the spatial propagation process from the base station to the mobile terminal according to the received power of the reference signal; Step S3: Based on the relationship between the probability of the path loss and the propagation distance in the outdoor macro coverage scenario, the distance from the mobile terminal to the cell is obtained by fitting.

2. The method for fitting the distance from a mobile terminal to a cell by electromagnetic wave reception intensity according to claim 1, characterized in that: Step S1 comprises, Step S11, the base station sends a reference signal to an area of ​​the outdoor macro coverage scenario; Step S12, the mobile terminal receives and measures the received power of the reference signal to form a user call record measurement report; Step S13: Acquire the received power of the reference signal according to the user call record measurement report reported by the mobile terminal.

3. The method for fitting the distance from a mobile terminal to a cell by electromagnetic wave reception intensity according to claim 1, characterized in that: Step S2 comprises, Step S21, calculating the path loss of the wireless signal propagating in space according to an electromagnetic wave link budget formula; Step S22: setting a recommended value of a variable affecting the path loss based on the wireless scenario and the first recommended value setting strategy.

4. The method for fitting the distance from a mobile terminal to a cell by electromagnetic wave reception intensity according to claim 3, characterized in that: The electromagnetic wave link budget formula in step S21 is: PL b1 =Pt-Pr-PL tw -PLsf-PLf+Gt+Gr-Lc; Among them, PL b1 Represents the path loss of the wireless signal propagating in space; Pt represents the transmit power of the reference signal; Pr represents the reception level of the reference signal; PL tw represents the penetration loss; PLsf represents shadow fading; PLf represents the feeder loss of the base station; Gt represents the transmitting antenna gain; Gr represents the receiving antenna gain; Lc represents the attenuation of the cable and the cable head.

5. The method for fitting the distance from a mobile terminal to a cell by electromagnetic wave reception intensity according to claim 3, characterized in that: The wireless scenarios in step S22 include dense urban areas, urban areas, suburban areas, and rural areas; The transmit power of the reference signal is obtained by querying the configuration data of the cell; The reception level of the reference signal is obtained according to the reception power of the reference signal.

6. The method for fitting the distance from a mobile terminal to a cell by electromagnetic wave reception intensity according to claim 3, characterized in that: In step S22, the first recommended value setting strategy is to determine the variable recommended value according to the distribution information of the base station, the building distribution information, the user aggregation information, the configuration parameters of the base station, and the antenna type and gain of the base station; The distribution information of the base stations includes the spacing, type and height of the base stations; The building distribution information includes building density and building height; The user aggregation information includes the number of users and user distribution; The configuration parameters of the base station include the transmit power of the reference signal.

7. The method for fitting the distance from a mobile terminal to a cell by electromagnetic wave reception intensity according to claim 6, characterized in that: Step S3 comprises, Step S31, obtaining the path loss in the outdoor macro coverage scenario through a probability model; Step S32, obtaining the distance from the mobile terminal to the base station based on the deformation of the probability model; Step S33: setting a recommended value of a calculation factor affecting the distance based on a second recommended value setting strategy.

8. The method for fitting the distance from a mobile terminal to a cell by electromagnetic wave reception intensity according to claim 7, characterized in that: The probability model in step S31 is processed using the following formula to obtain the path loss in the outdoor macro coverage scenario: Among them, PL b2 represents the path loss in the outdoor macro coverage scenario; W represents the width of the street; h represents the building height; h BS represents the actual antenna height of the base station; d 3D represents the 3D distance between the mobile terminal and the base station; f c Indicates the carrier center frequency; h UT Indicates the user equivalent height.

9. The method for fitting the distance from a mobile terminal to a cell by electromagnetic wave reception intensity according to claim 7, characterized in that: The second recommended value setting strategy in step S33 is: The recommended value of the calculation factor is determined according to the distribution information of the base stations, the building distribution information, and the average height of users.

10. The method for fitting the distance from a mobile terminal to a cell by electromagnetic wave reception intensity according to claim 8, characterized in that: The actual antenna height of the base station is obtained by querying the basic data of the base station, and the carrier center frequency is obtained by querying the basic data of the cell.

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