CN112584416B

CN112584416B - Method and device for evaluating number of accessible users

Info

Publication number: CN112584416B
Application number: CN202011360930.XA
Authority: CN
Inventors: 杨艳; 苗守野; 钟志刚; 冯毅; 李新玥
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: 2022-09-02
Anticipated expiration: 2040-11-27
Also published as: CN112584416A

Abstract

The invention provides an evaluation method and device for the number of accessible users, relates to the technical field of communication, and solves the problem of how to estimate the service bearing capacity (the number of accessible users) of a base station bearing various different services under multiple scenes. The method comprises the steps of obtaining a scene map and configuration parameters of the proposed access network equipment and service parameters of a preset service to be accessed by the proposed access network equipment; simulating according to the scene map, and determining the signal to interference plus noise ratio SINR of at least one simulation point; determining a first rated scheduling frequency which can be borne by a Physical Downlink Control Channel (PDCCH) in a target scene according to the CCE polymerization degree of a control channel unit corresponding to each SINR interval in different SINR intervals, SINR of at least one simulation point and configuration parameters; and determining the number of users to be accessed by the access network equipment under the target scene according to the first rated scheduling frequency and the service parameters.

Description

Method and device for evaluating 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 evaluating the number of accessible users.

Background

Currently, as a fifth Generation Mobile communication technology (5th-Generation, 5G) communication system with full coverage, there are three major functions or services, i.e., Ultra-large bandwidth (embb), Low-Latency and high-reliability services (urrllc), and multiple access (mtc) (Mobile Machine Type of communication). The eMBB is used for guaranteeing communication services and enhancing performance through a large bandwidth and MU-MIMO (Multi-User Multiple-Input Multiple-Output) 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 services with higher requirements on time delay, such as remote operation and fine control; mMTC is generated due to the requirement of mass user access capacity, mainly solves the problem that traditional mobile communication cannot well support networking and vertical industry application, and is mainly oriented to application scenes which aim at sensing and data acquisition, such as smart cities, environment monitoring, smart homes, forest fire prevention and the like, and the scenes have the characteristics of small data packets, low power consumption, mass connection and the like.

In summary, the characteristics of the 3 major services are different, and the three services are not completely split, and some services comprehensively require multiple characteristics. Therefore, for the development situation of 5G devices and services, the number of users that can be allowed to access to different services by each base station cannot be estimated by simply ignoring the service type to complete network resource planning and configuration, and therefore a method for estimating service carrying capacity (number of users that can be accessed) for a base station carrying multiple different services in multiple scenarios is urgently needed.

Disclosure of Invention

The invention provides a method and a device for evaluating the number of accessible users, which solve the problem of estimating the service bearing capacity (the number of accessible users) of a base station which bears various different services under multiple scenes.

In order to achieve the purpose, the invention adopts the following technical scheme:

in a first aspect, an embodiment of the present invention provides a method for evaluating an accessible user number, including: acquiring a scene map and configuration parameters of the proposed access network equipment and service parameters of a preset service to be accessed by the proposed access network equipment; simulating according to the scene map, and determining the signal to interference plus noise ratio (SINR) of at least one simulation point; determining a first rated scheduling frequency which can be borne by a Physical Downlink Control Channel (PDCCH) in a target scene according to the CCE polymerization degree of a control channel unit corresponding to each SINR interval in different SINR intervals, the SINR of at least one simulation point and configuration parameters; and determining the number of users to be accessed by the access network equipment under the target scene according to the first rated scheduling frequency and the service parameters.

As can be seen from the above, for the situation that the base station to be deployed intends to deploy multiple different types of services to be deployed, in the embodiment of the present application, first, a scene map and configuration parameters of the access network device to be built and service parameters of a preset service to be accessed by the access network device to be built are obtained; then, simulation is carried out according to the scene map, and the signal to interference plus noise ratio SINR of at least one simulation point is determined; determining a first rated scheduling frequency which can be borne by a Physical Downlink Control Channel (PDCCH) in a target scene according to the CCE polymerization degree of a control channel unit corresponding to each SINR interval in different SINR intervals, the SINR of at least one simulation point and configuration parameters; and finally, determining the number of users to be accessed by the access network equipment under the target scene according to the first rated scheduling frequency and the service parameters. The whole technical scheme provided by the embodiment estimates the bearing capacity of the base station to be deployed by combining the estimation parameters which can influence the bearing capacity of each scene to be deployed, by taking the bearing capacity of the base station to be deployed under a specific scene into consideration through simulation, thereby reasonably estimating the service bearing capacity (the number of users capable of accessing) of the base station which bears various different services under multiple scenes.

In a second aspect, the present invention provides an apparatus for evaluating the number of accessible users, comprising: an acquisition unit and a processing unit.

Specifically, the obtaining unit is configured to obtain a scene map and configuration parameters of the proposed access network device, and service parameters of a preset service to be accessed by the proposed access network device.

The processing unit is configured to perform simulation according to the scene map acquired by the acquiring unit, and determine a signal to interference plus noise ratio SINR of at least one simulation point. The processing unit is further configured to determine a first rated scheduling frequency that the PDCCH can bear in a target scene according to the CCE aggregation level of each SINR interval in different SINR intervals, the SINR of at least one simulation point, and the configuration parameter acquired by the acquiring unit. The processing unit is further configured to determine, according to the first rated scheduling frequency and the service parameter acquired by the acquisition unit, a number of users to which the access network device is proposed to access in a target scene.

In a third aspect, the present invention provides an apparatus for evaluating the number of accessible users, comprising: communication interface, processor, memory, bus; the memory is used for storing computer execution instructions, and the processor is connected with the memory through a bus. When the accessible user number evaluation device is operated, the processor executes computer execution instructions stored in the memory, so that the accessible user number evaluation device executes the accessible user number evaluation method provided by the first aspect.

In a fourth aspect, the invention provides a computer-readable storage medium comprising instructions. When the instructions are run on a computer, the instructions cause the computer to perform the method of assessing the number of accessible users as provided in the first aspect above.

In a fifth aspect, the present invention provides a computer program product, which when run on a computer, causes the computer to execute the method for evaluating the number of accessible users according to the first aspect.

It should be noted that all or part of the above computer instructions may be stored on the first computer readable storage medium. The first computer readable storage medium may be packaged with the processor of the apparatus for evaluating the number of accessible users, or may be packaged separately from the processor of the apparatus for evaluating the number of accessible users, which is not limited in the present invention.

For the description of the second, third, fourth and fifth aspects of the present invention, reference may be made to the detailed description of the first aspect; in addition, for the beneficial effects described in the second aspect, the third aspect, the fourth aspect and the fifth aspect, reference may be made to beneficial effect analysis of the first aspect, and details are not repeated here.

In the present invention, the names of the above-mentioned evaluation apparatuses for the number of accessible users do not limit the devices or function modules themselves, and in actual implementation, these devices or function modules may appear by other names. Insofar as the functions of the respective devices or functional blocks are similar to those of the present invention, they are within the scope of the claims of the present invention and their equivalents.

These and other aspects of the invention will be more readily apparent from the following description.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.

Fig. 1 is a simplified schematic diagram of a system architecture applied to a method for evaluating an accessible user number according to an embodiment of the present invention;

fig. 2 is a flowchart illustrating a method for evaluating the number of accessible users according to an embodiment of the present invention;

fig. 3 is a schematic diagram illustrating a determining factor in a method for evaluating the number of accessible users according to an embodiment of the present invention;

fig. 4 is a second flowchart illustrating a method for evaluating the number of accessible users according to an embodiment of the present invention;

fig. 5 is a schematic structural diagram of an apparatus for evaluating the number of accessible users according to an embodiment of the present invention;

fig. 6 is a second schematic structural diagram of an apparatus for estimating the number of accessible users according to an embodiment of the present invention;

fig. 7 is a schematic structural diagram of a computer program product of a method for evaluating an accessible user number according to an embodiment of the present invention.

Detailed Description

Embodiments of the present invention will be described below with reference to the accompanying drawings.

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

For the convenience of clearly describing the technical solutions of the embodiments of the present invention, in the embodiments of the present invention, the words "first", "second", and the like are used to distinguish the same items or similar items with basically the same functions and actions, and those skilled in the art can understand that the words "first", "second", and the like do not limit the quantity and execution order.

At present, because of different characteristics of various services of 5G, when service carrying capacity of a base station to be deployed of 5G is estimated before the base station is deployed, the number of users that can be allowed to access to different services of each base station cannot be estimated by simply ignoring the service type. Therefore, a method for estimating service carrying capacity (number of accessible users) for a cell carrying multiple different services in multiple scenarios is needed.

In view of the above problems, an embodiment of the present application provides an evaluation method for an accessible user number, which is applied to an evaluation apparatus for an accessible user number. The 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 simplified schematic diagram of a system architecture to which an embodiment of the present invention may be applied, as shown in fig. 1, the system architecture may include: an access network device 1, a terminal 2 and a server 3 are proposed. The terminal 2 performs service access through the proposed access network device 1, and the server 3 is used for acquiring a scene map and configuration parameters of the proposed access network device 1 and a guaranteed bandwidth of a preset service which can be initiated by the terminal 2.

The device for evaluating the number of accessible users in the embodiment of the present invention may be the server 3 shown in fig. 1, or may be a part of the server 3. For example a system of chips in the server 3. The system-on-chip is arranged to support the server 3 to implement the functionality referred to in the first aspect and any one of its possible implementations. Such as: the method comprises the steps of obtaining a scene map and configuration parameters of the proposed access network equipment 1 and the guaranteed bandwidth of a preset service which can be initiated by the terminal 2. The chip system includes a chip and may also include other discrete devices or circuit structures.

In the embodiment of the present invention, the device intending to establish the access network may be a base station or a base station controller for wireless communication, etc. In the embodiment of the present invention, the base station may be a base station (BTS) in a global system for mobile communications (GSM), a Code Division Multiple Access (CDMA), a base station (node B, NB) in a Wideband Code Division Multiple Access (WCDMA), an eNB in a Long Term Evolution (Long Term Evolution, LTE), an eNB in an internet of things (IoT) or a narrowband internet of things (NB-IoT), a base station in a future 5G mobile communication network or a Public Land Mobile Network (PLMN) in a future Evolution, which is not limited in any way.

Terminals are used to provide voice and/or data connectivity services to users. The terminal may be referred to by different names, such as User Equipment (UE), access terminal, terminal unit, terminal station, mobile station, remote terminal, mobile device, wireless communication device, vehicular user equipment, terminal agent or terminal device, and the like. Optionally, the terminal may be various handheld devices, vehicle-mounted devices, wearable devices, and computers with communication functions, which is not limited in this embodiment of the present invention. For example, the handheld device may be a smartphone. The in-vehicle device may be an in-vehicle navigation system. The wearable device may be a smart band. The computer may be a Personal Digital Assistant (PDA) computer, a tablet computer, and a laptop computer.

The following introduces the method for evaluating the number of accessible users provided in the embodiment of the present invention, with reference to the communication system shown in fig. 1, taking an evaluation apparatus of the number of accessible users as a server 3 and a proposed access network device as a proposed base station as an example.

As shown in fig. 2, the method for evaluating the number of accessible users includes the following contents of S11-S14:

s11, the server 3 obtains a scene map and configuration parameters of the proposed access network device, and service parameters of a preset service to be accessed by the proposed access network device.

Specifically, the preset service may be a large connection service. The large connection service generally refers to a service with a high requirement on the number of Radio Resource Control (RRC) connections, and the service has a relatively low requirement on time delay and guaranteed bandwidth, which is typically a sensor service of the internet of things.

In particular, bandwidth is guaranteed by uplink to known services (S) _UL ) Downlink guaranteed bandwidth (S) _DL ) And Media Access Control (MAC) layer scheduling capability (T) _MAC ) Analysis is performed to determine a determinant (D) that distinguishes large connection traffic from non-large connection traffic. Wherein the determinant D satisfies:

as shown in fig. 3, the abscissa is the determinant of each service, and the ordinate is the large connection service (denoted by 0) and the non-large connection service (denoted by 1), and by the classification analysis, the D of the demarcation point is determined to be-1.65.

For example, taking a large class of service "real-time automation" in a certain enterprise-level (2B) scenario as an example, the guaranteed bandwidth, the time delay and the jitter value may be directly obtained by collecting service characteristic parameters of the existing real-time automation service, and specifically refer to table 1 below.

TABLE 1

Therefore, when the delay of any one service is less than or equal to the preset delay (e.g. 500ms) and the decision factor D is less than or equal to-1.65, the service is determined to be a large connection service. When the time delay of any service is larger than the preset time delay and the decision factor D is larger than-1.65, the service is determined to be a non-large connection service.

S12, the server 3 performs simulation according to the scene map, and determines a Signal to Interference plus Noise Ratio (SINR) of at least one simulation point.

Specifically, in an actual application, conventional planning software (e.g., atlol, etc.), the server 3 performs planning simulation of a single simulation point by importing a scene map (e.g., a Three-dimensional (3D) map or a planning map) to be deployed with the proposed access network device and a category (e.g., 8 Transceiver and Receiver (TR), 16TR or 32TR) of the base station, so as to summarize planning simulation data of multiple terminals and further obtain SINR of each simulation point.

Illustratively, taking the first threshold value as 12.5, the second threshold value as 4.5, and the third threshold value as 2.5 as an example, the distribution of the first interval, the second interval, the third interval, and the fourth interval is shown in table 2.

TABLE 2

Marking	Interval(s)
		T(side)	(-∞,-2.5]
T(B)	(-2.5,4.5]
		T(N)	(4.5,12.5]
T(G)	(12.5,+∞)

Then, the ratio of the simulation points in the first interval, the second interval, the third interval and the fourth interval is determined by counting the total number of the sampling points distributed in the first interval, the second interval, the third interval and the fourth interval. Wherein, the first and the second end of the pipe are connected with each other,

wherein, N (SINR)>12.5dB) represents the total number of simulation points with SINR greater than 12.5, N (4.5 dB)<SINR < 12.5dB) represents the total number of simulation points with SINR greater than 4.5 and less than or equal to 12.5, N (-2.5 dB)<SINR < 4.5dB) represents the total number of dummy points with SINR greater than-2.5 and less than or equal to 4.5, N (SINR < -2.5dB) represents the total number of dummy points with SINR less than or equal to-2.5, N _all Representing the total number of simulated points.

S13, the server 3 determines a first nominal scheduling frequency that can be carried by a Physical Downlink Control Channel (PDCCH) in a target scene according to a Control Channel Element (CCE) polymerization degree corresponding to each SINR interval in different SINR intervals, an SINR of at least one simulation point, and a configuration parameter.

Specifically, the PDCCH is mainly used for transmitting Downlink control information and UL Grant, so that the terminal correctly receives a Physical Downlink Shared Channel (PDSCH) and allocates Uplink resources for the Physical Uplink Shared Channel (PUSCH), where the allocation unit is CCE (where 1 CCE equals to 6 Resource Element Groups (REGs) and 72 Resource Elements (REs)). For one PDCCH, it is composed of one or more CCEs, and the number of CCEs allocated differs according to aggregation levels. Therefore, the embodiment of the invention calculates the dispatching capability of the PDCCH of the proposed access network equipment based on the occupation conditions of the CCE and the RB.

S14, the server 3 determines the number of users that the proposed access network device can access in the target scene according to the first rated scheduling frequency and the service parameter.

Specifically, the target scenario is a multiple access scenario. In the multi-access scenario, service packets or signaling packets need to be initiated frequently. Such as: scenarios where the number of RRC connections is greater than 100.

As can be seen from the above, for the situation that the base station to be deployed intends to deploy multiple different types of services to be deployed, in the embodiment of the present application, first, a scene map and configuration parameters of the access network device to be built and service parameters of a preset service to be accessed by the access network device to be built are obtained; then, simulation is carried out according to the scene map, and the signal to interference plus noise ratio SINR of at least one simulation point is determined; determining a first rated scheduling frequency which can be borne by a Physical Downlink Control Channel (PDCCH) in a target scene according to the CCE polymerization degree of a control channel unit corresponding to each SINR interval in different SINR intervals, the SINR of at least one simulation point and configuration parameters; and finally, determining the number of users to be accessed by the access network equipment under the target scene according to the first rated scheduling frequency and the service parameters. The whole technical scheme provided by the embodiment estimates the bearing capacity of the base station to be deployed by combining the estimation parameters of each scene to be deployed, which can influence the bearing capacity of the base station to be deployed, through simulation consideration of the bearing capacity of the base station to be deployed under a specific scene to bear various services, so that the service bearing capacity (the number of accessible users) of the base station bearing various different services under multiple scenes is reasonably estimated.

In an implementation manner, the configuration parameters include a total number of Resource Blocks (RBs), a number of slots (time slots, slots) included in the first preset time duration, and a ratio of downlink RBs, in this case, referring to fig. 2, as shown in fig. 4, the foregoing S13 may be specifically implemented by the following S130 to S132.

S130, the server 3 determines the ratio of the simulation points in each SINR interval in different SINR intervals according to the SINR of at least one simulation point.

S131, the server 3 determines an average CCE according to the CCE aggregation level corresponding to each SINR interval in different SINR intervals and the ratio of simulation points in each SINR interval in different SINR intervals.

S132, the server 3 determines a first rated scheduling frequency which can be borne by the PDCCH in the target scene according to the average CCE, the total number of RBs, the slot number contained in the first preset time and the proportion of the downlink RBs.

Specifically, the first preset time period and the second preset time period may both be 100 ms.

In an implementation manner, as shown in fig. 4, the above S131 is specifically realized in the following manner.

S131, the server 3 determines an average CCE according to the CCE polymerization degree corresponding to each SINR interval in different SINR intervals and the simulation point occupation ratio in each SINR interval in different SINR intervals.

Wherein the average CCE satisfies:

wherein, P _CCE Denotes the average CCE, P _G Represents the ratio of simulation points, P, in the first interval _M Represents the ratio of simulation points in the second interval, P _B Represents the ratio of simulation points in the third interval, P _side Representing the ratio of simulation points in a fourth interval, the first interval being an interval in which the SINR is greater than or equal to a first threshold, the second interval being an interval in which the SINR is less than the first threshold and greater than or equal to a second threshold, the third interval being an interval in which the SINR is less than the second threshold and greater than or equal to a third threshold, the fourth interval being an interval in which the SINR is less than the third threshold, and the CCE ₂ Indicating a CCE aggregation level, CCE, corresponding to the first interval ₄ Indicating the CCE aggregation level, CCE, corresponding to the second interval ₈ Represents the third intervalCorresponding CCE aggregation level, CCE ₁₆ Indicates the CCE polymerization degree, K, corresponding to the fourth interval ₁ Number of space division layers, K, indicating CCE aggregation level corresponding to first section ₂ Number of space division layers, K, indicating CCE aggregation level corresponding to second interval ₃ Number of space division layers, K, indicating CCE aggregation level corresponding to third segment ₄ Number of space division layers indicating CCE aggregation level corresponding to fourth segment, CCE _n Indicating the aggregation level of the CCE as n, n ∈ {1, 2, 4, 8, 16 }.

Exemplarily, correspondence between CCE aggregation levels, aggregation level distributions, and number of space division layers is shown in table 3.

TABLE 3

CCE aggregation level	Distribution of degree of polymerization	Number of air separation layers
			2	P _G	2
4	P _M	1
			8	P _B	1
16	P _side	1

Illustratively, assume the total number of simulation points is 100; wherein, the ratio of simulation points in the first interval is P _G Is 60% (namely the SINR collected by 60 simulation points is greater than or equal to the first threshold), and the simulation point proportion P in the second interval _M Is 25% (namely the SINR collected by 25 simulation points is greater than or equal to the second threshold value and less than the first threshold value), the simulation point proportion P in the third interval _B Is 10% (namely the SINR collected by 10 simulation points is greater than or equal to the third threshold and less than the second threshold), the simulation point proportion P in the fourth interval _side Is 5% (i.e., SINR collected by 5 simulation points is less than or equal to the third threshold), then, in conjunction with table 3, average CCE equals

In an implementation manner, as shown in fig. 4, the above S132 is specifically implemented in the following manner.

S132, the server 3 determines a first rated scheduling frequency which can be borne by the PDCCH in the target scene according to the average CCE, the total number of RBs, the slot number contained in the first preset time and the proportion of downlink RBs. Wherein the first rated scheduling frequency satisfies:

wherein N is _PDCCH Representing a first nominal scheduling frequency, N _RB Denotes the total number of RBs, P _CCE Denotes the average CCE, N _slot Indicating the slot number, P, contained in the first preset duration _DL Indicating the occupation ratio of the downlink RB.

In a practical manner, the service parameter includes a second nominal scheduling frequency of the MAC layer within a second preset time period, in this case, as shown in fig. 4 in conjunction with fig. 2, the above S14 can be specifically realized by the following S140.

S140, the server 3 determines the number of users to which the proposed access network equipment can access in the target scene according to the first rated scheduling frequency and the second rated scheduling frequency. Wherein, the user number satisfies:

wherein, N _mMTC Representing the number of users, N, which can be accessed by the proposed access network equipment in the target scene _PDCCH Indicating a first nominal scheduling frequency, T _MAC Indicating a second nominal scheduling frequency.

Specifically, the second nominal scheduling frequency is a scheduling frequency of the MAC layer within a third preset duration, and the third preset duration may be 100 ms.

Specifically, "floor ()" indicates a floor function. The function is to "round down", or "round down" or "round up to zero", i.e., to take the largest integer no greater than x.

The scheme provided by the embodiment of the invention is mainly introduced from the perspective of a method. In order to implement the above functions, it includes a hardware structure and/or a software module for performing each function. Those skilled in the art will readily appreciate that the various illustrative elements and algorithms described in connection with the embodiments disclosed herein may be implemented as hardware or combinations of hardware and computer software. Whether a function is performed in hardware or computer software drives 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.

The present invention can perform functional module division on the device for evaluating the number of accessible users according to the above method example, for example, each functional module can be divided corresponding to each function, or two or more functions can be integrated into one processing module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. It should be noted that, the division of the modules in the embodiment of the present invention is schematic, and is only a logic function division, and there may be another division manner in actual implementation.

Fig. 5 is a schematic structural diagram of an apparatus 10 for evaluating the number of accessible users according to an embodiment of the present invention. The accessible user number evaluating device 10 is used for acquiring a scene map and configuration parameters of the proposed access network equipment and service parameters of a preset service to be accessed by the proposed access network equipment; simulating according to the scene map, and determining the signal to interference plus noise ratio SINR of at least one simulation point; determining a first rated scheduling frequency which can be borne by a Physical Downlink Control Channel (PDCCH) in a target scene according to the CCE polymerization degree of a control channel unit corresponding to each SINR interval in different SINR intervals, SINR of at least one simulation point and configuration parameters; and determining the number of users of the proposed access network equipment which can be accessed in the target scene according to the first rated scheduling frequency and the service parameters. The accessible user number evaluation device 10 may comprise an acquisition unit 101 and a processing unit 102.

The obtaining unit 101 is configured to obtain a scene map and configuration parameters of the proposed access network device, and service parameters of a preset service to be accessed by the proposed access network device. For example, in connection with fig. 2, the obtaining unit 101 may be configured to execute S11.

The processing unit 102 is configured to perform simulation according to the scene map acquired by the acquiring unit 101, and determine a signal to interference plus noise ratio SINR of at least one simulation point. The processing unit 102 is further configured to determine, according to the CCE aggregation level of the control channel element corresponding to each SINR interval in different SINR intervals, the SINR of at least one simulation point, and the configuration parameter acquired by the acquiring unit 101, a first rated scheduling frequency that can be borne by the physical downlink control channel PDCCH in the target scene. The processing unit 102 is further configured to determine, according to the first rated scheduling frequency and the service parameter acquired by the acquiring unit 101, a number of users to which the access network device is proposed to access in a target scene. In conjunction with fig. 2, the fetch unit 101 may be configured to perform S12, S13, and S14. In conjunction with fig. 4, the acquisition unit 101 may be configured to perform S130, S131, S132, and S140.

All relevant contents related to the above method embodiments may be referred to the functional description of the corresponding functional module, and the functions thereof are not described herein again.

Of course, the apparatus 10 for evaluating the number of accessible users provided in the embodiment of the present invention includes, but is not limited to, the above modules, for example, the apparatus 10 for evaluating the number of accessible users may further include the storage unit 103. The storage unit 103 can be used for storing the program code of the device for evaluating the number of write-accessible users 10, and can also be used for storing data generated by the device for evaluating the number of write-accessible users 10 during operation, such as data in a write request.

Fig. 6 is a schematic structural diagram of an apparatus 10 for evaluating the number of accessible users according to an embodiment of the present invention, and as shown in fig. 6, the apparatus 10 for evaluating the number of accessible users may include: at least one processor 51, a memory 52, a communication interface 53 and a communication bus 54.

The following describes each component of the apparatus 10 for estimating the number of accessible users with reference to fig. 6:

the processor 51 is a control center of the apparatus 10 for evaluating the number of accessible users, and may be a single processor or a collective name of a plurality of processing elements. For example, the processor 51 is a Central Processing Unit (CPU), an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits configured to implement embodiments of the present invention, such as: one or more DSPs, or one or more Field Programmable Gate Arrays (FPGAs).

In particular implementations, processor 51 may include one or more CPUs such as CPU0 and CPU1 shown in fig. 6 as one embodiment. Also, as an embodiment, the accessible user number evaluation device 10 may include a plurality of processors, such as the processor 51 and the processor 55 shown in fig. 6. Each of these processors may be a Single-core processor (Single-CPU) or a Multi-core processor (Multi-CPU). A processor herein may refer to one or more devices, circuits, and/or processing cores for processing data (e.g., computer program instructions).

The Memory 52 may be a Read-Only Memory (ROM) or other type of static storage device that can store static information and instructions, a Random Access Memory (RAM) or other type of dynamic storage device that can store information and instructions, an Electrically Erasable Programmable Read-Only Memory (EEPROM), a Compact Disc Read-Only Memory (CD-ROM) 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, but is not limited to such. The memory 52 may be self-contained and coupled to the processor 51 via a communication bus 54. The memory 52 may also be integrated with the processor 51.

In a particular implementation, the memory 52 is used for storing data and software programs for implementing the present invention. The processor 51 may perform various functions of the air conditioner by running or executing software programs stored in the memory 52 and calling data stored in the memory 52.

The communication interface 53 is a device such as any transceiver, and is used for communicating with other devices or communication Networks, such as a Radio Access Network (RAN), a Wireless Local Area Network (WLAN), a terminal, and a cloud. The communication interface 53 may comprise an acquisition unit for implementing a receiving function.

The communication bus 54 may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (Extended Industry Standard Architecture) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 6, but that does not indicate only one bus or one type of bus.

As an example, in conjunction with fig. 5, the function implemented by the acquisition unit 101 in the accessible user number evaluation apparatus 10 is the same as the function of the communication interface 53 in fig. 6, the function implemented by the processing unit 102 is the same as the function of the processor 51 in fig. 6, and the function implemented by the storage unit 103 is the same as the function of the memory 52 in fig. 6.

Another embodiment of the present invention further provides a computer-readable storage medium, which stores instructions that, when executed on a computer, cause the computer to perform the method shown in the above method embodiment.

In some embodiments, the disclosed methods may be implemented as computer program instructions encoded on a computer-readable storage medium in a machine-readable format or encoded on other non-transitory media or articles of manufacture.

Fig. 7 schematically illustrates a conceptual partial view of a computer program product comprising a computer program for executing a computer process on a computing device provided by an embodiment of the invention.

In one embodiment, the computer program product is provided using a signal bearing medium 410. The signal bearing medium 410 may include one or more program instructions that, when executed by one or more processors, may provide the functions or portions of the functions described above with respect to fig. 2. Thus, for example, referring to the embodiment shown in FIG. 2, one or more features of S11-S14 may be undertaken by one or more instructions associated with the signal bearing medium 410. Further, the program instructions in FIG. 7 also describe example instructions.

In some examples, signal bearing medium 410 may include a computer readable medium 411, such as, but not limited to, a hard disk drive, a Compact Disc (CD), a Digital Video Disc (DVD), a digital tape, a memory, a read-only memory (ROM), a Random Access Memory (RAM), or the like.

In some implementations, the signal bearing medium 410 may comprise a computer recordable medium 412 such as, but not limited to, a memory, a read/write (R/W) CD, a R/W DVD, and the like.

In some implementations, the signal bearing medium 410 may include a communication medium 413, such as, but not limited to, a digital and/or analog communication medium (e.g., a fiber optic cable, a waveguide, a wired communications link, a wireless communication link, etc.).

The signal bearing medium 410 may be conveyed by a wireless form of communication medium 413, such as a wireless communication medium compliant with the IEEE 802.41 standard or other transport protocol. The one or more program instructions may be, for example, computer-executable instructions or logic-implemented instructions.

In some examples, a data writing apparatus, such as that described with respect to fig. 2, may be configured to provide various operations, functions, or actions in response to one or more program instructions via the computer-readable medium 411, the computer-recordable medium 412, and/or the communication medium 413.

Through the above description of the embodiments, it is clear to those skilled in the art that, for convenience and simplicity of description, the foregoing division of the functional modules is merely used as an example, and in practical applications, the above function distribution may be completed by different functional modules according to needs, that is, the internal structure of the device may be divided into different functional modules to complete all or part of the above described functions.

In the several embodiments provided in the present invention, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the above-described device embodiments are merely illustrative, and for example, the division of the modules or units is only one logical functional division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another device, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may be one physical unit or a plurality of physical units, that is, may be located in one place, or may be distributed in a plurality of different places. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a readable storage medium. Based on such understanding, the technical solution of the embodiments of the present invention may be substantially or partially implemented in the form of a software product, which is stored in a storage medium and includes several instructions to enable a device (which may be a single chip, a chip, or the like) or a processor (processor) to execute all or part of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a U disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk.

The above description is only an embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.

Claims

1. A method for evaluating the number of accessible users, comprising:

acquiring a scene map and configuration parameters of a proposed access network device and service parameters of a preset service to be accessed by the proposed access network device;

simulating according to the scene map, and determining the signal to interference plus noise ratio SINR of at least one simulation point;

determining a first rated scheduling frequency which can be borne by a Physical Downlink Control Channel (PDCCH) in a target scene according to the CCE polymerization degree of each SINR interval, the SINR of the at least one simulation point and the configuration parameters;

the service parameters comprise a second rated scheduling frequency of a media access control sublayer protocol MAC layer in a second preset time length;

determining the number of users accessible to the proposed access network device in the target scene according to the first rated scheduling frequency and the service parameter, including:

determining the number of users that the proposed access network equipment can access in the target scene according to the first rated scheduling frequency and the second rated scheduling frequency; wherein the number of users satisfies:

wherein, N _mMTC Representing the number of users accessible to the proposed access network equipment in the target scene, N _PDCCH Representing said first nominal scheduling frequency, T _MAC Representing the second nominal scheduling frequency.

2. The method according to claim 1, wherein the configuration parameters include total number of RBs in the resource block, slot number included in a first preset duration, and downlink RB fraction;

the determining a first rated scheduling frequency that can be borne by a Physical Downlink Control Channel (PDCCH) in a target scene according to the Control Channel Element (CCE) polymerization degree corresponding to each SINR interval in different SINR intervals, the SINR of the at least one simulation point and the configuration parameters includes:

determining the simulation point occupation ratio in each SINR interval in the different SINR intervals according to the SINR of the at least one simulation point;

determining an average CCE according to the CCE polymerization degree corresponding to each SINR interval in different SINR intervals and the ratio of simulation points in each SINR interval in the different SINR intervals;

and determining a first rated scheduling frequency which can be borne by the PDCCH under the target scene according to the average CCE, the total number of RBs, the slot number contained in the first preset time and the ratio of the downlink RBs.

3. The method according to claim 2, wherein the determining an average CCE according to the CCE aggregation level corresponding to each SINR interval in different SINR intervals and the ratio of dummy points in each SINR interval in the different SINR intervals comprises:

determining an average CCE according to the CCE polymerization degree corresponding to each SINR interval in different SINR intervals and the ratio of simulation points in each SINR interval in the different SINR intervals; wherein the average CCE satisfies:

wherein, P _CCE Denotes the average CCE, P _G Represents the ratio of simulation points, P, in the first interval _M Represents the ratio of simulation points in the second interval, P _B Represents the ratio of simulation points in the third interval, P _side Representing the ratio of simulation points in a fourth interval, the first interval is an interval in which SINR is greater than or equal to a first threshold, the second interval is an interval in which SINR is less than the first threshold and greater than or equal to a second threshold, the third interval is an interval in which SINR is less than the second threshold and greater than or equal to a third threshold, the fourth interval is an interval in which SINR is less than the third threshold, and CCE ₂ Indicating a CCE aggregation level, CCE, corresponding to the first interval ₄ Indicating a CCE aggregation level, CCE, corresponding to the second interval ₈ Indicating the CCE aggregation level, CCE, corresponding to the third interval ₁₆ Indicates the CCE polymerization degree, K, corresponding to the fourth interval ₁ Represents the firstNumber of space division layers of CCE polymerization degree corresponding to interval, K ₂ Number of space division layers, K, indicating CCE aggregation level corresponding to second interval ₃ Number of space division layers, K, indicating CCE aggregation level corresponding to third segment ₄ The number of space division layers indicating the CCE aggregation level corresponding to the fourth segment.

4. The method according to claim 2, wherein the determining a first nominal scheduling frequency that the PDCCH can carry in a target scenario according to the average CCE, the total number of RBs, the slot number included in the first preset duration, and the ratio of downlink RBs comprises:

determining a first rated scheduling frequency which can be borne by the PDCCH under a target scene according to the average CCE, the total number of RBs, the slot number contained in the first preset time and the ratio of the downlink RBs; wherein the first rated scheduling frequency satisfies:

wherein N is _PDCCH Representing a first nominal scheduling frequency, N _RB Denotes the total number of RBs, P _CCE Denotes the average CCE, N _slot Represents the slot number, P, contained in the first preset time length _DL Indicating the occupation ratio of the downlink RB.

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

the system comprises an acquisition unit, a configuration unit and a service processing unit, wherein the acquisition unit is used for acquiring a scene map and configuration parameters of proposed access network equipment and service parameters of a preset service to be accessed by the proposed access network equipment;

the processing unit is used for carrying out simulation according to the scene map acquired by the acquisition unit and determining the signal to interference plus noise ratio (SINR) of at least one simulation point;

the processing unit is further configured to determine a first rated scheduling frequency that the physical downlink control channel PDCCH can bear in a target scene according to the CCE aggregation level of each SINR interval in different SINR intervals, the SINR of the at least one simulation point, and the configuration parameter acquired by the acquiring unit;

the processing unit is further configured to determine, according to the first rated scheduling frequency and the service parameter acquired by the acquiring unit, a number of users that the proposed access network device can access in the target scene; the service parameters comprise a second rated scheduling frequency of a media access control sublayer protocol MAC layer within a second preset time length;

the processing unit is specifically configured to determine, according to the first rated scheduling frequency and the second rated scheduling frequency acquired by the acquiring unit, a number of users that the proposed access network device can access in the target scene; wherein the number of users satisfies:

wherein N is _mMTC Representing the number of users accessible to the proposed access network equipment in the target scene, N _PDCCH Representing said first nominal scheduling frequency, T _MAC Representing the second nominal scheduling frequency.

6. The apparatus for evaluating the number of accessible users according to claim 5, wherein the configuration parameters include a total number of Resource Blocks (RBs), a slot number included in a first preset time period, and a downlink RB occupation ratio;

the processing unit is specifically configured to determine, according to the SINR of the at least one dummy point, a dummy point proportion in each SINR interval in the different SINR intervals;

the processing unit is specifically configured to determine an average CCE according to a CCE aggregation level corresponding to each SINR interval in different SINR intervals and a ratio of simulation points in each SINR interval in the different SINR intervals;

the processing unit is specifically configured to determine a first rated scheduling frequency that can be borne by the PDCCH in a target scene according to the average CCE, the total number of RBs obtained by the obtaining unit, the number of slot slots included in the first preset duration obtained by the obtaining unit, and the proportion of the downlink RB obtained by the obtaining unit.

7. The apparatus according to claim 6, wherein the processing unit is specifically configured to determine an average CCE according to a CCE aggregation level corresponding to each SINR interval in different SINR intervals and a ratio of dummy points in each SINR interval in the different SINR intervals; wherein the average CCE satisfies:

wherein, P _CCE Denotes the average CCE, P _G Represents the ratio of simulation points, P, in the first interval _M Represents the ratio of simulation points in the second interval, P _B Represents the ratio of simulation points in the third interval, P _side Representing the ratio of simulation points in a fourth interval, the first interval being an interval in which the SINR is greater than or equal to a first threshold, the second interval being an interval in which the SINR is less than the first threshold and greater than or equal to a second threshold, the third interval being an interval in which the SINR is less than the second threshold and greater than or equal to a third threshold, the fourth interval being an interval in which the SINR is less than the third threshold, and the CCE ₂ Indicating a CCE aggregation level, CCE, corresponding to the first section ₄ Indicating the CCE aggregation level, CCE, corresponding to the second interval ₈ Indicating the CCE aggregation level, CCE, corresponding to the third interval ₁₆ Represents a CCE polymerization degree, K, corresponding to the fourth interval ₁ Number of space division layers, K, indicating CCE aggregation level corresponding to first section ₂ Number of space division layers, K, indicating CCE aggregation level corresponding to second interval ₃ Number of space division layers, K, indicating CCE aggregation level corresponding to third segment ₄ The number of space division layers indicating the CCE aggregation level corresponding to the fourth segment.

8. The apparatus according to claim 6, wherein the processing unit is specifically configured to determine a first nominal scheduling frequency that can be carried by the PDCCH in a target scene according to the average CCE, the total number of RBs obtained by the obtaining unit, a slot number included in the first preset duration obtained by the obtaining unit, and a proportion of the downlink RBs obtained by the obtaining unit; wherein the first rated scheduling frequency satisfies:

9. A computer-readable storage medium comprising instructions which, when run on a computer, cause the computer to perform the method for assessing the number of accessible users according to any one of claims 1 to 4.

10. An apparatus for evaluating the number of accessible users, comprising: communication interface, processor, memory, bus;

the memory is used for storing computer execution instructions, and the processor is connected with the memory through the bus;

when the accessible user number evaluation device is operated, the processor executes the computer-executable instructions stored in the memory, so that the accessible user number evaluation device executes the accessible user number evaluation method according to any one of claims 1 to 4.