CN112333754B

CN112333754B - Method and device for estimating number of accessible users

Info

Publication number: CN112333754B
Application number: CN202011360955.XA
Authority: CN
Inventors: 杨艳; 冯毅; 苗守野; 张涛
Original assignee: China United Network Communications Group Co Ltd
Current assignee: China United Network Communications Group Co Ltd
Priority date: 2020-11-27
Filing date: 2020-11-27
Publication date: 2023-05-26
Anticipated expiration: 2040-11-27
Also published as: CN112333754A

Abstract

The embodiment of the application provides a method and a device for estimating the number of accessible users, which relate to the technical field of communication and can estimate the number of accessible users of a base station to be deployed when bearing corresponding services based on service guarantee requirements. The method comprises the following steps: acquiring equipment parameters and scene information of a base station to be deployed and service parameters of a target service to be deployed; planning and simulating the base station to be deployed according to the scene information and the equipment parameters to obtain a first signal parameter of at least one simulation position point in the coverage area of the base station to be deployed; determining the reserved resource duty ratio of the base station to be deployed when bearing the target service according to the service parameters; determining the number of accessible users of the base station to be deployed when bearing the target service according to the first signal parameter of at least one simulation position point, the reserved resource duty ratio and typical scene simulation data; the exemplary scene simulation data includes a second signal parameter and throughput for at least one exemplary location point.

Description

Method and device for estimating number of accessible users

Technical Field

The present invention relates to the field of communications technologies, and in particular, to a method and an apparatus for estimating the number of accessible users.

Background

Currently, as a fifth Generation mobile communication technology (5 th-Generation, 5G) communication system that is in full coverage, three functions or services, that is, an Ultra-large bandwidth (eMBB (Enhanced Mobile Broadband)), a low latency high reliability service (Ultra-reliable and Low Latency Communications), and multiple access (mMTC (massive Machine Type of Communication)), respectively, are provided. The eMBB performs guarantee and performance enhancement of communication service through a large bandwidth and MU-User Multiple-Input Multiple-Output (MU-MIMO) technology, and is generally used for carrying services such as AR (Augmented Reality ), VR (Virtual Reality), high-definition video, high-definition live broadcast and the like; the uRLLC is used for guaranteeing the communication quality of the service with higher time delay requirement, such as remote operation and fine control; mctc is generated due to the requirement of massive user access capability, and is mainly used for solving the problem that the traditional mobile communication cannot well support the application of the internet of things and the vertical industry, and is mainly used for application scenes targeting sensing and data acquisition, such as smart cities, environment monitoring, smart home and forest fire prevention, and the like, and the scenes have the characteristics of small data packets, low power consumption, massive connection and the like.

In summary, although the three types of services of the current 5G have different characteristics, there are also related contents, so for the service development situation, the service bearing capacity (the number of accessible users) of the base station to be deployed when deploying a certain service cannot be estimated by simply neglecting the service type, and the planning and configuration of network resources are completed, so that a scheme for estimating the number of accessible users of the base station to be deployed for bearing a certain service in a certain scene is needed.

Disclosure of Invention

The embodiment of the invention provides a method and a device for estimating accessible users, which can estimate the number of accessible users of a base station to be deployed when bearing corresponding services based on service guarantee requirements.

In order to achieve the above purpose, the embodiment of the present invention adopts the following technical scheme:

in a first aspect, a method for estimating a user includes: acquiring equipment parameters of a base station to be deployed, scene information of a coverage area of the base station to be deployed, and service parameters of a target service to be deployed; the scene information comprises a scene map and scene categories; the service parameters include: uplink guaranteed bandwidth, downlink guaranteed bandwidth and time delay; planning and simulating the base station to be deployed according to the scene information and the equipment parameters to obtain a first signal parameter of at least one simulation position point in the coverage area of the base station to be deployed; determining the reserved resource duty ratio of the base station to be deployed when bearing the target service according to the service parameters; the reserved resource duty ratio is the duty ratio of network resources except for the target service to the total network resources of the base station to be deployed; determining the number of accessible users of the base station to be deployed when bearing the target service according to the first signal parameter of at least one simulation position point, the reserved resource duty ratio and typical scene simulation data; the exemplary scene simulation data includes a second signal parameter and throughput for at least one exemplary location point.

Based on the above scheme, in the case that the base station to be deployed is to deploy the target service, the embodiment of the application may first acquire the equipment parameter and the scene information of the base station to be deployed and the service parameter (uplink guaranteed bandwidth, downlink guaranteed bandwidth, time delay, etc.) of the target service to be deployed. The service parameters directly influence the service guarantee degree of the target service, so in the application, the service parameters are utilized to determine the reserved resource duty ratio of the base station to be deployed when bearing the target service. The first signal parameter of at least one simulation position point (corresponding to the actual position) in the coverage area of the base station to be deployed can be obtained by utilizing the obtained equipment parameters and the scene information, so as to embody the signal light and quality of the same position in the coverage area; and finally, determining the number of accessible users (estimated result) of the base station to be deployed when bearing the target service according to all the first signal parameters, the reserved resource duty ratio and the second signal parameters and throughput of the typical position point which can be obtained from a laboratory in advance. In the technical scheme provided by the embodiment of the application, when the number of accessible users is estimated, the service parameters affecting the service guarantee requirement of the target service are fully considered, and meanwhile, the signal quality conditions of the user terminals in use at different position points in the coverage area of the base station to be deployed are considered through simulation, so that finally, the number of accessible users determined by combining the service guarantee requirement and the signal quality conditions and the typical scene simulation data is reasonable, and the purpose of estimating the number of accessible users when the base station to be deployed bears the corresponding service under a certain scene (scene information decision) based on the service guarantee requirement is achieved. Further, by combining the estimation method of the number of accessible users provided by the embodiment of the application, the number of accessible users when the base station to be deployed needs to deploy a plurality of services can be estimated to a certain extent.

In a second aspect, there is provided a predictive device creditable to a user, comprising: the system comprises an acquisition module, a simulation module, a calculation module and a processing module. The acquisition module is used for acquiring equipment parameters of the base station to be deployed, scene information of a coverage area of the base station to be deployed and service parameters of a target service to be deployed; the scene information comprises a scene map and scene categories; the service parameters include: uplink guaranteed bandwidth, downlink guaranteed bandwidth and time delay; the simulation module is used for planning and simulating the base station to be deployed according to the scene information and the equipment parameters acquired by the acquisition module so as to acquire a first signal parameter of at least one simulation position point in the coverage area of the base station to be deployed; the computing module is used for determining the reserved resource duty ratio of the base station to be deployed when bearing the target service according to the service parameters acquired by the acquiring module; the reserved resource duty ratio is the duty ratio of network resources except for the target service to the total network resources of the base station to be deployed; the processing module is used for determining the number of accessible users of the base station to be deployed when bearing the target service according to the first signal parameter of at least one simulation position point obtained by simulation of the simulation module, the reserved resource duty ratio calculated by the calculation module and typical scene simulation data; the exemplary scene simulation data includes a second signal parameter and throughput for at least one exemplary location point.

In a third aspect, an estimating device for a number of accessible users is provided, including a memory, a processor, a bus, and a communication interface; the memory is used for storing computer execution instructions, and the processor is connected with the memory through a bus; when the estimating device of the accessible user number runs, the processor executes the computer execution instructions stored in the memory, so that the estimating device of the accessible user number executes the estimating method of the accessible user number provided in the first aspect.

In a fourth aspect, there is provided a computer readable storage medium comprising computer executable instructions which, when run on a computer, cause the computer to perform the method of estimating the number of accessible users as provided in the first aspect.

It should be noted that the above-mentioned instructions may be stored in whole or in part on a computer-readable storage medium. The computer readable storage medium may be packaged together with the processor of the access network device or separately, which is not limited by the present invention.

In a fifth aspect, a computer program product is provided which, when run on a computer, causes the computer to perform the method of estimating the number of accessible users as provided in the first aspect.

It will be appreciated that the solutions of the second aspect to the fifth aspect provided above are all used to perform the corresponding method provided in the first aspect, and therefore, the advantages achieved by the solutions may refer to the advantages in the corresponding method provided in the foregoing, and are not described herein.

It should be understood that, in the present application, the names of the above-mentioned estimating devices of the number of accessible users do not limit the devices or functional modules themselves, and in actual implementation, these devices or functional modules may appear under other names. Insofar as the function of each device or function module is similar to that of the present invention, it falls within the scope of the claims of the present invention and the equivalents thereof. Additionally, the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

Fig. 1 is a schematic structural diagram of a estimating device capable of accessing a user number according to an embodiment of the present application;

fig. 2 is a flowchart of a method for estimating the number of accessible users according to an embodiment of the present application;

fig. 3 is a second flow chart of a method for estimating the number of accessible users according to the embodiment of the present application;

fig. 4 is a flowchart of a method for estimating the number of accessible users according to an embodiment of the present application;

FIG. 5 is a schematic diagram of a correlation fitting curve according to an embodiment of the present disclosure;

fig. 6 is a schematic diagram one of a correlation degree of a terminal provided in an embodiment of the present application;

fig. 7 is a schematic diagram two of a correlation degree of a terminal according to an embodiment of the present application;

fig. 8 is a flowchart of a method for estimating the number of accessible users according to an embodiment of the present application;

fig. 9 is a flowchart of a method for estimating the number of accessible users according to an embodiment of the present application;

fig. 10 is a schematic structural diagram of another estimating device capable of accessing a user number according to an embodiment of the present application.

Detailed Description

The following description of the technical solutions in the embodiments of the present application will be made clearly and completely with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

It should be noted that, in the embodiments of the present application, words such as "exemplary" or "such as" are used to mean serving as an example, instance, or illustration. Any embodiment or design described herein as "exemplary" or "for example" should not be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete fashion.

It should be noted that, in the embodiment of the present application, "english: of", "corresponding" and "corresponding" may sometimes be used in combination, and it should be noted that the meaning to be expressed is consistent when the distinction is not emphasized.

In order to clearly describe the technical solutions of the embodiments of the present application, in the embodiments of the present invention, the terms "first", "second", and the like are used to distinguish the same item or similar items having substantially the same function and effect, and those skilled in the art will understand that the terms "first", "second", and the like are not limited in number and execution order.

At present, due to different characteristics of various services of 5G, when the service bearing capacity of a base station to be deployed of 5G is estimated before the base station is deployed, the number of users which can be accessed by each base station for different services cannot be estimated by adopting a simple mode of neglecting service types. Therefore, a scheme for estimating the number of accessible users for a base station to be deployed to carry a certain service in a certain scenario is needed.

In view of the above problems, an embodiment of the present application provides a method for estimating the number of accessible users, which can estimate the number of accessible users when a base station to be deployed carries a corresponding service based on a service guarantee requirement. The method is applied to a pre-estimating device of the number of accessible users. The estimating device may be a server of an operator to which the base station to be deployed belongs, or any other feasible device with processing computing capability.

Fig. 1 is a schematic structural diagram of a estimating device capable of accessing a user number according to an embodiment of the present application. As shown in fig. 1, the estimating device may include: comprising the following steps: a memory 11, a processor 12, a bus 13 and a communication interface 14; the memory 11 is used for storing computer execution instructions, and the processor 12 is connected with the memory 11 through the bus 13; when the estimating device of the number of accessible users is running, the processor 12 executes the computer-executed instructions stored in the memory 11, so that the estimating device of the number of accessible users executes the estimating method of the number of accessible users provided in the above embodiment.

Processor 12 is a control center of a predictive device that can access the number of users and may be a central processing unit (central processing unit, CPU), a microprocessor unit, or one or more integrated circuits for controlling the execution of the routines of the present invention. In a particular implementation, as one embodiment, the processor 12 (12-1 and 12-2) may include one or more CPUs, such as CPU0 and CPU1 shown in FIG. 1. And as an example, the estimating means of the number of accessible users may include a plurality of processors 12, such as the processor 12-1 and the processor 12-2 shown in fig. 1. Each of these processors 12 may be a Single-core processor (Single-CPU) or a Multi-core processor (Multi-CPU). The processor 12 herein may refer to one or more devices, circuits, and/or processing cores for processing data (e.g., computer program instructions).

The Memory 11 may be, but is not limited to, a Read-Only Memory 11 (ROM) or other type of static storage device that can store static information and instructions, a random access Memory (Random Access Memory, RAM) or other type of dynamic storage device that can store information and instructions, or an electrically erasable programmable Read-Only Memory (Electrically Erasable Programmable Read-Only Memory, EEPROM), a compact disc (Compact Disc Read-Only Memory) or other optical disc storage, optical disc storage (including compact disc, laser disc, optical disc, digital versatile disc, blu-ray disc, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. The memory 11 may be stand alone and may be coupled to the processor 12 via a bus 13. The memory 11 may also be integrated with the processor 12.

In a specific implementation, the memory 11 is configured to store data in the present application and computer-executable instructions corresponding to executing software programs of the present application. The processor 12 may implement various functions of the predictive device that may access the number of users by running or executing a software program stored in the memory 11 and invoking data stored in the memory 11.

The communication interface 14 uses any transceiver-like means for communicating with other devices or communication networks, such as a control system, a radio access network (Radio Access Network, RAN), a wireless local area network (Wireless Local Area Networks, WLAN), etc. The communication interface 14 may include a receiving unit implementing a receiving function and a transmitting unit implementing a transmitting function.

Bus 13 may be an industry standard architecture (Industry Standard Architecture, ISA) bus, an external device interconnect (Peripheral Component Interconnect, PCI) bus, or an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, among others. The bus 13 may be classified into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in fig. 1, but not only one bus or one type of bus.

Based on the estimation device of the number of accessible users, referring to fig. 2, an embodiment of the present application provides an estimation method of the number of accessible users, including 201-204:

201. acquiring equipment parameters of a base station to be deployed, scene information of a coverage area of the base station to be deployed, and service parameters of a target service to be deployed.

Wherein the scene information comprises a scene map and a scene category; the service parameters include: uplink guaranteed bandwidth, downlink guaranteed bandwidth and time delay. The scene categories may be indoor, outdoor (urban and suburban).

Exemplary device parameters include one or more of the following: station spacing (english full name: inter-Site Distance, abbreviated as: ISD), number of sites (total number of surrounding base stations), base station antenna height, channel model, subcarrier spacing, traffic model, number of users per sector, user distribution, indoor and outdoor user distribution (different penetration loss duty ratio), user mobility, frequency band, system bandwidth, physical resource block (english full: physical Resource Block, abbreviated as PRB), frame structure, evolved Node B, eNB, antenna array number, antenna array radiation model, transceiver unit number, base station noise figure, antenna downtilt angle, UE antenna height, minimum Distance between base station and user, UE receiving antenna number, UE noise figure, UE transmitting antenna number, UE transmitting power, downlink single user multiple-in and multiple-out antenna system (abbreviated as downlink single-user-multiple-input multiple, DLSU-MIMO) maximum number, downlink multi-user multiple-out antenna system (abbreviated as downlink multiple-user-multiple input multiple-output multiple, DLMU-MIMO) maximum number, uplink single-user multiple-in and multiple-out antenna system (abbreviated as uplink single-user-multiple-input-single-system, uplink single-multiple-input single-input multiple-input single, multiple single-input single, multiple,.

The target service may be ullc service, and the service guarantee requirement of the service is low latency and high reliability, and because the latency requirement of the service is high, the service can be used on the network system quickly, so that the load requirement of the service in the network system is low, and further, the reserved resources are more. Firstly, the deployment condition of the service is estimated, so that the deployment estimation of the subsequent service can be more convenient.

Specifically, when the target service is screened, the time delay and jitter of all the services can be obtained, and the service with the time delay lower than the time delay threshold value and the jitter lower than the jitter threshold value is determined to be the service with low time delay and high reliability.

The target traffic may be, for example, traffic as shown in table 1 below.

TABLE 1

In the embodiment of the present application, the base station to be deployed may be a base station (base transceiver station, BTS) in a global system for mobile communications (global system for mobile communication, GSM), a base station (base transceiver station, BTS) in a code division multiple access (code division multiple access, CDMA), a base station (Node B, NB) in a wideband code division multiple access (wideband code division multiple access, WCDMA), a base station (evolved Node B, eNB) in a long term evolution (Long Term Evolution, LTE), an eNB in the internet of things (internet of things, ioT) or a narrowband internet of things (narrow band-internet of things, NB-IoT), a base station in a future 5G mobile communication network or a future evolved public land mobile network (public land mobile network, PLMN), which is not limited in this embodiment of the present application.

202. And planning and simulating the base station to be deployed according to the scene information and the equipment parameters so as to acquire a first signal parameter of at least one simulation position point in the coverage area of the base station to be deployed.

Illustratively, the signal parameter may be a signal-to-noise ratio (signal to interference plus noise ratio, SINR) or a reference signal received power (reference signal receiving power, RSRP); in the following embodiments, the signal parameter is taken as an example of signal-to-noise ratio.

Optionally, referring to fig. 3 in conjunction with fig. 2, step 202 may specifically include 2021 and 2022:

2021. and determining the equipment type of the base station to be deployed according to the scene type.

Specifically, the device type (e.g., 6TR,8TR,16TR, 32TR or 128 TR) of the base station is determined according to the number of transceiver modules (transmitter and receiver, TR for short) included in the base station.

By way of example, assuming that the device type includes a 4TR base station, a 32TR base station, and a 64TR base station, determining the device type of the base station to be deployed according to the scenario category includes:

in the case that the scene category is indoor, a base station of which the device type of the base station to be deployed is 4TR is determined.

In the case where the field Jing Leibie is outdoor and is an urban area, a base station whose device type is 64TR for the base station to be deployed is determined.

In the case where the field Jing Leibie is outdoor and suburban, a base station whose device type is 32TR is determined as the base station to be deployed.

2022. And planning and simulating the base station to be deployed according to the scene map, the equipment type and the equipment parameters so as to acquire a first signal parameter of at least one simulation position point in the coverage area of the base station to be deployed.

In one implementation, the scene map includes a three-dimensional (3 d) map and a planning map. The step 2022 may be obtained specifically by the following two methods:

1. scene reproduction method

Acquiring a 3D map with specified precision (such as a 3D map with the precision of 2 meters multiplied by 2 meters), after importing the 3D map into simulation software (such as Atoll), configuring equipment types and equipment parameters, carrying out user scattering point simulation, and then determining a first SINR of at least one simulation position point.

2. Scene false seeking method

The method is suitable for a scene without base station construction, and under the condition that only buildings and other building information (such as a planning chart) are known, the duty ratio conditions of different types of penetration loss need to be calculated, and the specific duty ratio conditions are shown in the following table 2:

type of penetration loss	Penetration loss duty cycle
		Outdoor (outoor)
Indoor low penetration loss
		Indoor high penetration loss

TABLE 2

Then based on the penetration loss ratio, the equipment type and the equipment parameters, simulation is performed by using system simulation software (such as matlab and the like), user scattering point simulation is performed, and then a first SINR of at least one simulation point is determined.

The penetration loss ratio is determined by scene construction by different penetration loss models defined in 38.901 standard.

203. And determining the reserved resource duty ratio of the base station to be deployed when bearing the target service according to the service parameters.

Wherein the reserved resource duty ratio is the duty ratio of network resources except for the target service to the total network resources of the base station to be deployed.

Alternatively, referring to fig. 4 in conjunction with fig. 2, the step 203 may specifically be: and calculating the reserved resource duty ratio of the base station to be deployed when bearing the target service according to the service parameters and the first preset formula.

The first preset formula is as follows:

P＝P00+P10×max(T _D ,T _U )+P10×S+P11×max(T _D ,T _U )×S+P02×S ² ；

wherein P is the reserved resource duty ratio, T _D For the downlink to guarantee the bandwidth, T _U For ensuring the bandwidth in the uplink, S is time delay, P00 is 0.4121, and P10 is-7.519 e ^-06 P01 is 0.003627 and P11 is 2.824e ^-06 P02 is 1.406e ^-05 。

The first preset formula is obtained by fitting after acquiring service parameters of multiple groups (e.g. 100 groups) of target services and actual reserved resource duty ratio as shown in table 1 in practice. Firstly, the correlation between the guaranteed bandwidth, the time delay and the jitter and the reserved resource duty ratio is analyzed according to the acquired data, and the correlation can be calculated by the following formula:

T＝max(log ₁₀ (T _U )，log ₁₀ (T _D ))；

Wherein T is the guaranteed bandwidth, T _U For up-link guaranteed bandwidth, T _D For guaranteeing the bandwidth in the downlink, N is the number of accessible users, cov () is the covariance calculation formula, D () is the variance calculation formula, delay is the time Delay, jitter is jitter. Specific correlations are shown in table 3 below.

TABLE 3 Table 3

It can be seen that the correlation between the delay and the jitter and the reserved duty ratio is high, and the correlation is strong, and the correlation is relatively large with the bandwidth, so that the present patent obtains a relatively good fitting curve by adopting a multi-element linear fitting (such as a linear fitting, an exponential fitting or a polynomial fitting), and further obtains the first preset formula. The guaranteed bandwidth and time delay are used as variables in fitting, jitter is a fitting weight, the reserved duty ratio is an output value, so that after the fitting is completed, a first preset formula is obtained, wherein the jitter is not used as a variable value, but the influence of the jitter is considered in the formula.

In the fitting process, firstly, collected data can be screened according to Gaussian distribution, effective data reaching 95% of confidence interval is obtained, and then a corresponding fitting curve is obtained according to a multi-element novel fitting method, as shown in fig. 5, YL is reserved resource duty ratio, S is time delay, B is guaranteed bandwidth, and D is jitter in fig. 5. Performing curve fitting degree R on the fitting curve ² And root mean square error (root mean squared error, RMSE) calculation, it is known that when P00 is 0.4121 and P10 is-7.519 e in the first predetermined formula ^-06 P01 is 0.003627 and P11 is 2.824e ^-06 P02 is 1.406e ^-05 The fitness was 0.9918 and rmse was 0.13, which is the optimal case.

204. Determining the number of accessible users of the base station to be deployed when bearing the target service according to the first signal parameter of at least one simulation position point, the reserved resource duty ratio and typical scene simulation data; the exemplary scene simulation data includes a second signal parameter and throughput for at least one exemplary location point.

The typical scene simulation data are obtained in a laboratory environment; the specific acquisition mode (taking the signal parameter as SINR as an example) is as follows:

in practical applications, since a single terminal and multiple terminals are placed at a single sampling point, their corresponding SINR and throughput data will change. Therefore, in order to more accurately calculate the SINR and average throughput of a single sampling point, a 4-terminal placement for each sampling point is described herein as an example.

First, different sampling points are selected. Then, more than 4 (including 4) terminals are placed at each sampling point, and SINR collected by each terminal is collected, and uplink throughput and downlink throughput of user datagram protocol (User Datagram Protocol, UDP) service are performed. The reason for choosing to place 4 UEs here is that the throughput of a base station when fully loaded can be simulated when placing 4 UEs, since one UE supports at most 4 downlink and each base station supports 16 downlink simultaneously. Of course, in practical application, when the maximum number of uplink supported by the base station is N and the maximum number of uplink supported by the UE is N, the number of supported UEs when the base station is fully loaded is N/N. When the maximum number of downlink times supported by the base station is N and the maximum number of downlink times supported by the UE is N, the number of UEs supported by the base station when fully loaded is N/N.

For example, assuming 6 points of SINR 22, SINR 18, SINR 9, SINR 6, SINR 0 and SINR-2 are sampling points, the recorded data is shown in Table 4 below.

TABLE 4 Table 4

In FIG. 6, point o is an antenna of a base station corresponding to a cell, point a is UE-a, point b is UE-b, point c is UE-c, and point d is UE-d. The point a, the point b, the point c and the point d are respectively located on the boundary of the same concentric circle o, and the SINR of each UE located on the same concentric circle is the same. Specifically, the correlation degree between the UEs can be placed according to the correlation degree actually required; for example, the correlation between UE-a and UE-b is illustrated as an example, and the calculation manner of the correlation between other UEs is the same as that of the correlation between UE-a and UE-b, which is not described here again.

Specifically, the correlation is equal to an included angle formed by connecting any two UE with the base station antenna respectively; such as: an included angle theta is formed by a connecting line of the point a in the horizontal direction and the circle center o (representing the position of the base station antenna) and a connecting line of the point b in the horizontal direction and the circle center o; or an included angle theta is formed by a connecting line of the point d in the horizontal direction and the circle center o (representing the position of the base station antenna) and a connecting line of the point b in the horizontal direction and the circle center o; alternatively, as shown in fig. 7, the angle θ is formed by the connection line between the point a and the center o in the vertical direction and the connection line between the point b and the center o in the horizontal direction.

Specifically, mode 1, mode 2, mode 3, mode 4, mode 5, and mode 6 each represent that 4 UEs (UE-a, UE-b, UE-c, and UE-d) are simultaneously placed at locations corresponding to the same SINR.

Optionally, referring to fig. 8 in conjunction with fig. 2, step 204 may specifically include 2041-2043:

2041. determining target duty ratios of a plurality of signal parameter intervals according to first signal parameters of at least one simulation position point; the target duty ratio is the duty ratio of the number of all simulation positions corresponding to the signal parameter interval to the total number of the simulation position points.

For example, taking the signal parameter as SINR, the plurality of signal parameter intervals include a third signal parameter interval [ - ≡4.5], a second signal parameter interval (4.5, 12.5), and a first signal parameter interval (12.5, fact [ -), where the target duty ratios of the plurality of signal parameter intervals are respectively:

wherein P is _G For the target duty cycle of the first signal parameter interval, P _M For the target duty cycle of the second signal parameter interval, P _B For the target duty ratio of the third signal parameter interval, N _all Is the total number of at least one simulated location point.

2042. And determining the average throughput corresponding to each signal parameter interval in the plurality of signal parameter intervals according to the second signal parameter and the throughput of at least one typical position point.

For example, taking the signal parameter as SINR, the exemplary scenario simulation data corresponding to the foregoing table 4, the plurality of signal parameter intervals include a third signal parameter interval [ - ≡4.5], a second signal parameter interval (4.5, 12.5) and a first signal parameter interval (12.5, fact [ ≡) as examples, and the specific calculation process of the average throughput corresponding to each signal parameter interval is as follows:

by measuring the corresponding throughput for SINR 22, SINR 18, SINR 9, SINR 6, SINR 0 and SINR-2 for each correlation, the SINR-average throughput curve for the same correlation is fitted. As shown in fig. 8 (SINR on the abscissa and average throughput on the ordinate), an average throughput curve of SINR at correlation of 0.3 is given; wherein the average throughput of each point is equal to the average of the throughput of each UE at the same SINR.

The SINR-average throughput curves with correlation of 0.3, 0.5 and 0.8 are finally obtained, as shown in the following formula:

T _0.3SINR (SINR)＝f ₁ (SINR)；

T _0.5SINR (SINR)＝f ₂ (SINR)；

T _0.8SINR (SINR)＝f ₃ (SINR)。

based on the formula of single correlation, calculating average throughput under single SINR:

wherein n is ₁ The number of the selected correlation degrees; since the invention selects only three correlations of 0.3, 0.5 and 0.8, n is ₁ Equal to 3.

Illustratively, the descriptions are given by taking SINR of 22, SINR of 18, SINR of 9, SINR of 6, SINR of 0, and SINR of-2, and correlation degrees of 0.3, 0.5, and 0.8 as examples:

The average throughput for SINR of 22 is:

the average throughput for SINR 18, SINR 9, SINR 6, SINR 0 and SINR-2 is calculated in the same manner as the average throughput for SINR 22, and will not be described here.

For different SINR average throughput values, calculating average throughput in a certain SINR interval:

wherein T is _{SINR_gap} For the average throughput of the SINR interval, n_gap is the number of typical location points corresponding to the SINR interval.

For example, the following table 5 illustrates that SINR intervals are [ - ≡,4.5] (third signal parameter interval), (4.5, 12.5) (second signal parameter interval) and [12.5, fact ] (first signal parameter interval), respectively, where when SINR intervals are [ - ≡,4.5], simulation points with SINR of-2, -1, 0, 1, 2, 3, 4, 5, 6 and 7 are selected as typical location points, respectively, and n_gap is equal to 10; when the SINR interval is [4.5, 12.5], simulation points with SINR of 5, 6, 7, 8, 9, 10, 11 and 12 are respectively selected as typical position points, and N_gap is equal to 8; the SINR intervals of [12.5, ] are respectively selected from the points with SINR of 13, 14, 15, 16, 17, 18, 19, 20, 21 and 22 as typical position points, where n_gap is equal to 10.

TABLE 5

From the data recorded in table 5, the average throughput for different intervals at the same SINR position can be calculated, respectively.

Based on the above calculation formula of average throughput or table 5, the uplink average throughput and the downlink average throughput of different signal parameter intervals can be obtained, as shown in table 6 below.

TABLE 6

2043. And determining the number of accessible users of the base station to be deployed when bearing the target service according to the target duty ratio, the reserved resource duty ratio, the average throughput corresponding to each signal parameter interval, the uplink guaranteed bandwidth and the downlink guaranteed bandwidth of each signal parameter interval.

Optionally, when the plurality of signal parameter intervals includes a first signal parameter interval, a second signal parameter interval, and a third signal parameter interval, and the average throughput includes an uplink average throughput and a downlink average throughput, referring to fig. 8, the 2043 step specifically includes 20431-40433:

20431. and determining the uplink accessible user number of the base station to be deployed when bearing the target service according to a second preset formula according to the target duty ratio of each signal parameter interval, the average throughput corresponding to each signal parameter interval and the uplink guaranteed bandwidth.

The second preset formula is as follows:

Wherein N is _U For the number of uplink accessible users, P is the reserved resource duty ratio, T _U For up-link guaranteed bandwidth, P _G For the target duty cycle of the first signal parameter interval, P _M For the target duty cycle of the second signal parameter interval, P _B For a target duty cycle of the third signal parameter interval,

for the uplink average throughput corresponding to the first signal parameter interval,/for>

For the uplink average throughput corresponding to the second signal parameter interval,/for>

The uplink average throughput corresponding to the third signal parameter interval is obtained; floor is rounded down.

By way of example, assuming a device type of the proposed base station of 64TR, since the SINR interval corresponding to Pg is (12.5, +++), then as can be seen from table 6, the SINR interval (12.5, + -infinity) corresponding uplink throughput is

Then->

And->

Is calculated by the method and->

The same calculation manner is not repeated here.

20432. And determining the number of downlink accessible users of the base station to be deployed when bearing the target service according to a third preset formula according to the target duty ratio of each signal parameter interval, the average throughput corresponding to each signal parameter interval and the downlink guaranteed bandwidth.

The third preset formula is as follows:

wherein N is _D For the number of users which can be accessed in the downlink, P is the ratio of reserved resources, T _D For downstream guaranteed bandwidth, P _G For the target duty cycle of the first signal parameter interval, P _M For the target duty cycle of the second signal parameter interval, P _B For a target duty cycle of the third signal parameter interval,

for the downlink average throughput corresponding to the first signal parameter interval,/for>

For the downlink average throughput corresponding to the second signal parameter interval,/for>

And the downlink average throughput corresponding to the third signal parameter interval.

Exemplary, assume that the device type of the base station to be deployed is 64TR, due to P _G The corresponding SINR interval is (12.5, in +++). It can be seen from table 6 that, the SINR interval (12.5, ++ infinity) is the corresponding downlink throughput

Then

And->

Is calculated by the method and->

The same calculation manner is not repeated here.

20433. And taking the minimum value of the uplink throughput and the downlink throughput as the accessible user number of the base station to be deployed when bearing the target service.

In the technical solution provided in the embodiment of the present application, in the case that a base station to be deployed is to deploy a target service, the embodiment of the present application may first obtain a device parameter and scenario information of the base station to be deployed and a service parameter (uplink guaranteed bandwidth, downlink guaranteed bandwidth, time delay, etc.) of the target service to be deployed. The service parameters directly influence the service guarantee degree of the target service, so in the application, the service parameters are utilized to determine the reserved resource duty ratio of the base station to be deployed when bearing the target service. The first signal parameter of at least one simulation position point (corresponding to the actual position) in the coverage area of the base station to be deployed can be obtained by utilizing the obtained equipment parameters and the scene information, so as to embody the signal light and quality of the same position in the coverage area; and finally, determining the number of accessible users (estimated result) of the base station to be deployed when bearing the target service according to all the first signal parameters, the reserved resource duty ratio and the second signal parameters and throughput of the typical position point which can be obtained from a laboratory in advance. In the technical scheme provided by the embodiment of the application, when the number of accessible users is estimated, the service parameters affecting the service guarantee requirement of the target service are fully considered, and meanwhile, the signal quality conditions of the user terminals in use at different position points in the coverage area of the base station to be deployed are considered through simulation, so that finally, the number of accessible users determined by combining the service guarantee requirement and the signal quality conditions and the typical scene simulation data is reasonable, and the purpose of estimating the number of accessible users when the base station to be deployed bears the corresponding service under a certain scene (scene information decision) based on the service guarantee requirement is achieved. Further, by combining the estimation method of the number of accessible users provided by the embodiment of the application, the number of accessible users when the base station to be deployed needs to deploy a plurality of services can be estimated to a certain extent.

The scheme provided by the embodiment of the invention is mainly introduced from the angle of the estimation device of the accessible user number. It will be appreciated that, in order to implement the above-mentioned functions, the estimating device of the number of accessible users includes a hardware structure and/or a software module for executing each function. Those of skill in the art will readily appreciate that the various illustrative algorithm steps described in connection with the embodiments disclosed herein may be implemented as hardware or combinations of hardware and computer software. Whether a function is implemented as hardware or computer software driven hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.

According to the embodiment of the invention, the function modules of the estimation device which can be accessed to the user number can be divided according to the method example, for example, each function module can be divided corresponding to each function, and two or more functions can be integrated in one processing module. The integrated modules may be implemented in hardware or in software functional modules. It should be noted that, in the embodiment of the present invention, the division of the modules is schematic, which is merely a logic function division, and other division manners may be implemented in actual implementation.

Fig. 10 shows a schematic diagram of a possible composition of the estimating apparatus of the number of accessible users in the above embodiment, where each functional module is divided by corresponding each function, and the apparatus may include: the system comprises an acquisition module 31, a simulation module 32, a calculation module 33 and a processing module 34.

Specifically, the acquiring module 31 is configured to acquire an equipment parameter of a base station to be deployed, scene information of a coverage area of the base station to be deployed, and a service parameter of a target service to be deployed; the scene information comprises a scene map and scene categories; the service parameters include: uplink guaranteed bandwidth, downlink guaranteed bandwidth and time delay;

the simulation module 32 is configured to perform planning simulation on the base station to be deployed according to the scene information and the equipment parameters acquired by the acquisition module 31, so as to acquire a first signal parameter of at least one simulation position point in the coverage area of the base station to be deployed;

a calculating module 33, configured to determine a reserved resource duty ratio of the base station to be deployed when carrying the target service according to the service parameter acquired by the acquiring module 31; the reserved resource duty ratio is the duty ratio of network resources except for the target service to the total network resources of the base station to be deployed;

The processing module 34 is configured to determine, according to the first signal parameter of the at least one simulation location point obtained by the simulation module 32, the reserved resource duty ratio calculated by the calculation module 33, and typical scene simulation data, the number of accessible users of the base station to be deployed when carrying the target service; the exemplary scene simulation data includes a second signal parameter and throughput for at least one exemplary location point.

Optionally, the simulation module 32 is specifically configured to: determining the equipment type of the base station to be deployed according to the scene type acquired by the acquisition module 31; and planning and simulating the base station to be deployed according to the equipment type, the scene map and the equipment parameters acquired by the acquisition module 31 so as to acquire the first signal parameters of at least one simulation position point in the coverage area of the base station to be deployed.

Optionally, the calculating module 33 is specifically configured to: according to the service parameters acquired by the acquisition module 31, calculating the reserved resource duty ratio of the base station to be deployed when bearing the target service according to a first preset formula; the first preset formula is as follows:

P＝P00+P10×max(T _D ,T _U )+P10×S+P11×max(T _D ,T _U )×S+P02×S ² ；

Optionally, the processing module 34 is specifically configured to: determining target duty ratios of a plurality of signal parameter intervals according to the first signal parameters of at least one simulation position point obtained through simulation by the simulation module 32; the target duty ratio is the duty ratio of the number of all simulation positions corresponding to the signal parameter interval to the total number of the simulation position points;

determining an average throughput corresponding to each of the plurality of signal parameter intervals according to the second signal parameter and the throughput of the at least one representative location point;

and determining the number of accessible users of the base station to be deployed when bearing the target service according to the target duty ratio of each signal parameter interval, the average throughput corresponding to each signal parameter interval, the reserved resource duty ratio acquired by the acquisition module 31, the uplink guaranteed bandwidth acquired by the acquisition module 31 and the downlink guaranteed bandwidth acquired by the acquisition module 31.

Optionally, when the plurality of signal parameter intervals includes a first signal parameter interval, a second signal parameter interval, and a third signal parameter interval, and the average throughput includes an uplink average throughput and a downlink average throughput, the processing module 34 is specifically configured to: determining the uplink accessible user number of the base station to be deployed when bearing the target service according to a second preset formula according to the target duty ratio of each signal parameter interval, the average throughput corresponding to each signal parameter interval and the uplink guaranteed bandwidth; the second preset formula is:

The uplink average throughput corresponding to the third signal parameter interval is obtained;

determining the number of downlink accessible users of the base station to be deployed when bearing the target service according to a third preset formula according to the target duty ratio of each signal parameter interval, the average throughput corresponding to each signal parameter interval and the downlink guaranteed bandwidth; the second preset formula is:

The downlink average throughput corresponding to the third signal parameter interval is obtained;

And taking the minimum value of the uplink throughput and the downlink throughput as the accessible user number of the base station to be deployed when bearing the target service.

Of course, the evaluation device for the number of accessible users provided in the embodiments of the present application includes, but is not limited to, the above module, for example, the evaluation device for the number of accessible users may further include a storage unit. The storage unit may be used for storing the program code of the estimating device for writing the accessible user number, and may also be used for storing data generated in the running process of the estimating device for writing the accessible user number, such as data in a request, etc.

The estimating device for the number of accessible users provided in the embodiment of the present application is mainly used for executing the estimating method for the number of accessible users provided in the foregoing embodiment, so the corresponding beneficial effects thereof can be described with reference to the foregoing embodiment and will not be described herein.

The embodiment of the application also provides a computer readable storage medium, which includes computer execution instructions, when the computer execution instructions run on a computer, the computer is caused to execute the method for estimating the number of accessible users provided in the above embodiment.

Embodiments of the present invention also provide a computer program product, where the computer program product includes a computer program for executing on a computer, where the computer program may be directly loaded into a memory and contains software code, and where the computer program is loaded and executed by a computer, where the method for estimating the number of accessible users provided in the foregoing embodiments can be implemented.

From the foregoing description of the embodiments, it will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of functional modules is illustrated, and in practical application, the above-described functional allocation may be implemented by different functional modules according to needs, i.e. the internal structure of the apparatus is divided into different functional modules to implement all or part of the functions described above.

Those skilled in the art will appreciate that in one or more of the examples described above, the functions described in the present invention may be implemented in hardware, software, firmware, or any combination thereof. When implemented in software, these functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer-readable storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.

In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described embodiments of the apparatus are merely illustrative, and the division of modules or units, for example, is merely a logical function division, and other manners of division are possible when actually implemented. For example, multiple units or components may be combined or may be integrated into another device, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form. The units described as separate parts may or may not be physically separate, and the parts shown as units may be one physical unit or a plurality of physical units, may be located in one place, or may be distributed in a plurality of different places. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units. The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a readable storage medium. Based on such understanding, the technical solution of the embodiments of the present application may be essentially or a part contributing to the prior art or all or part of the technical solution may be embodied in the form of a software product stored in a storage medium, including several instructions for causing a device (may be a single-chip microcomputer, a chip or the like) or a processor (processor) to perform all or part of the steps of the method described in the embodiments of the present invention. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk, etc.

The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any changes or substitutions easily contemplated by those skilled in the art within the scope of the present invention should be included in the present invention. Therefore, the protection scope of the invention is subject to the protection scope of the claims.

Claims

1. The estimating method of the number of accessible users is characterized by comprising the following steps:

acquiring equipment parameters of a base station to be deployed, scene information of a coverage area of the base station to be deployed, and service parameters of a target service to be deployed; the scene information comprises a scene map and scene categories; the service parameters include: uplink guaranteed bandwidth, downlink guaranteed bandwidth and time delay;

planning and simulating the base station to be deployed according to the scene information and the equipment parameters to obtain a first signal parameter of at least one simulation position point in the coverage area of the base station to be deployed; the signal parameters are at least used for indicating the signal intensity and the quality of the corresponding positions;

determining the reserved resource duty ratio of the base station to be deployed when bearing the target service according to the service parameters; the reserved resource duty ratio is the duty ratio of network resources except for the target service, which account for the total network resources of the base station to be deployed;

Determining the number of accessible users of the base station to be deployed when bearing the target service according to the first signal parameter of the at least one simulation position point, the reserved resource duty ratio and typical scene simulation data; the exemplary scene simulation data includes a second signal parameter and throughput for at least one exemplary location point;

wherein the determining, according to the first signal parameter of the at least one simulation location point, the reserved resource duty ratio, and the typical scenario simulation data, the number of accessible users of the base station to be deployed when carrying the target service includes:

determining target duty ratios of a plurality of signal parameter intervals according to the first signal parameters of the at least one simulation position point; the target duty ratio is the duty ratio of the number of all simulation positions corresponding to the signal parameter interval to the total number of the simulation position points;

determining an average throughput corresponding to each of the plurality of signal parameter intervals according to the second signal parameter and throughput of the at least one representative location point;

and determining the number of accessible users of the base station to be deployed when bearing the target service according to the target duty ratio of each signal parameter interval, the reserved resource duty ratio, the average throughput corresponding to each signal parameter interval, the uplink guaranteed bandwidth and the downlink guaranteed bandwidth.

2. The method for estimating a number of accessible users according to claim 1, wherein performing planning simulation on the base station to be deployed according to the scenario information and the device parameter to obtain a first signal parameter of at least one simulation location point in a coverage area of the base station to be deployed comprises:

determining the equipment type of the base station to be deployed according to the scene type;

and planning and simulating the base station to be deployed according to the scene map, the equipment type and the equipment parameters so as to acquire a first signal parameter of at least one simulation position point in the coverage area of the base station to be deployed.

3. The method for estimating a number of accessible users according to claim 1, wherein determining the reserved resource duty ratio of the base station to be deployed when carrying the target service according to the service parameter includes:

according to the service parameters, calculating the reserved resource duty ratio of the base station to be deployed when bearing the target service according to a first preset formula; the first preset formula is:

P＝P00+P10×max(T _D ,T _U )+P10×S+P11×max(T _D ,T _U )×S+P02×S ² ；

wherein P is the reserved resource duty ratio, T _D Guaranteeing bandwidth for the downlink, T _U For the uplink guaranteed bandwidth, S is the time delay, P00 is 0.4121, and P10 is-7.519 e ^-06 P01 is 0.003627 and P11 is 2.824e ^-06 P02 is 1.406e ^-05 。

4. The method for estimating a number of accessible users according to claim 1, wherein when the plurality of signal parameter intervals include a first signal parameter interval, a second signal parameter interval, and a third signal parameter interval, and the average throughput includes an uplink average throughput and a downlink average throughput, determining the number of accessible users of the base station to be deployed when carrying the target service according to a target duty ratio of each signal parameter interval, the reserved resource duty ratio, an average throughput corresponding to each signal parameter interval, the uplink guaranteed bandwidth, and the downlink guaranteed bandwidth includes:

according to the target duty ratio of each signal parameter interval, the average throughput corresponding to each signal parameter interval and the uplink guaranteed bandwidth, determining the uplink accessible user number of the base station to be deployed when bearing the target service according to a second preset formula; the second preset formula is:

wherein N is _U For the number of uplink accessible users, P is the reserved resource duty ratio, T _U For up-link guaranteed bandwidth, P _G For the target duty ratio of the first signal parameter interval, P _M For the target duty ratio of the second signal parameter interval, P _B For a target duty cycle of the third signal parameter interval,

determining the downlink accessible user number of the base station to be deployed when bearing the target service according to a third preset formula according to the target duty ratio of each signal parameter interval, the average throughput corresponding to each signal parameter interval and the downlink guaranteed bandwidth; the third preset formula is:

wherein N is _D For the number of users accessible in the downlink, P is the ratio of reserved resources, T _D For downstream guaranteed bandwidth, P _G For the target duty ratio of the first signal parameter interval, P _M For the target duty ratio of the second signal parameter interval, P _B For a target duty cycle of the third signal parameter interval,

And taking the minimum value of the uplink average throughput and the downlink average throughput as the accessible user number of the base station to be deployed when bearing the target service.

5. An apparatus for estimating the number of accessible users, comprising:

the acquisition module is used for acquiring equipment parameters of the base station to be deployed, scene information of a coverage area of the base station to be deployed and service parameters of a target service to be deployed; the scene information comprises a scene map and scene categories; the service parameters include: uplink guaranteed bandwidth, downlink guaranteed bandwidth and time delay;

the simulation module is used for planning and simulating the base station to be deployed according to the scene information and the equipment parameters acquired by the acquisition module so as to acquire a first signal parameter of at least one simulation position point in the coverage area of the base station to be deployed;

the calculation module is used for determining the reserved resource duty ratio of the base station to be deployed when bearing the target service according to the service parameters acquired by the acquisition module; the reserved resource duty ratio is the duty ratio of network resources except for the target service, which account for the total network resources of the base station to be deployed;

The processing module is used for determining the number of accessible users of the base station to be deployed when bearing the target service according to the first signal parameter of the at least one simulation position point obtained by simulation of the simulation module, the reserved resource duty ratio calculated by the calculation module and typical scene simulation data; the exemplary scene simulation data includes a second signal parameter and throughput for at least one exemplary location point;

the processing module is specifically configured to:

determining target duty ratios of a plurality of signal parameter intervals according to the first signal parameters of the at least one simulation position point obtained by simulation of the simulation module; the target duty ratio is the duty ratio of the number of all simulation positions corresponding to the signal parameter interval to the total number of the simulation position points;

and determining the number of accessible users of the base station to be deployed when carrying the target service according to the target duty ratio of each signal parameter interval, the average throughput corresponding to each signal parameter interval, the reserved resource duty ratio acquired by the acquisition module, the uplink guaranteed bandwidth acquired by the acquisition module and the downlink guaranteed bandwidth acquired by the acquisition module.

6. The device for estimating a number of accessible users according to claim 5, wherein the simulation module is specifically configured to:

determining the equipment type of the base station to be deployed according to the scene type acquired by the acquisition module;

and planning and simulating the base station to be deployed according to the equipment type, the scene map and the equipment parameters acquired by the acquisition module so as to acquire a first signal parameter of at least one simulation position point in the coverage area of the base station to be deployed.

7. The apparatus for estimating a number of accessible users according to claim 5, wherein the computing module is specifically configured to:

according to the service parameters acquired by the acquisition module, calculating the reserved resource duty ratio of the base station to be deployed when bearing the target service according to a first preset formula; the first preset formula is:

P＝P00+P10×max(T _D ,T _U )+P10×S+P11×max(T _D ,T _U )×S+P02×S ² ；

8. The apparatus for estimating a number of accessible users according to claim 5, wherein when the plurality of signal parameter intervals includes a first signal parameter interval, a second signal parameter interval, and a third signal parameter interval, the average throughput includes an uplink average throughput and a downlink average throughput, the processing module is specifically configured to:

/>

9. The estimating device capable of accessing the user number is characterized by comprising a memory, a processor, a bus and a communication interface; the memory is used for storing computer execution instructions, and the processor is connected with the memory through the bus; when the estimating device of the accessible user number runs, the processor executes the computer execution instructions stored in the memory, so that the estimating device of the accessible user number executes the estimating method of the accessible user number according to any one of claims 1-4.

10. A computer readable storage medium comprising computer executable instructions which, when run on a computer, cause the computer to perform the method of estimating the number of accessible users as claimed in any of claims 1-4.