CN112312448B

CN112312448B - Method and device for evaluating RRC connection number

Info

Publication number: CN112312448B
Application number: CN202011360739.5A
Authority: CN
Inventors: 杨艳; 苗守野; 冯毅; 钟志刚; 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: 2023-07-18
Anticipated expiration: 2040-11-27
Also published as: CN112312448A

Abstract

The invention provides a method and a device for evaluating RRC connection numbers, relates to the technical field of communication, and solves the problem of how to estimate service bearing capacity (RRC connection numbers) of a base station bearing a plurality of different services in multiple scenes. Acquiring a scene map and configuration parameters of a planned 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 rated scheduling frequency which can be borne by a Physical Downlink Control Channel (PDCCH) in a target scene according to the aggregation degree of control channel units (CCEs) corresponding to each SINR interval in different SINR intervals, SINR of at least one simulation point and configuration parameters; and determining the RRC connection number of the access network equipment to be built according to the rated scheduling frequency.

Description

Method and device for evaluating RRC connection number

Technical Field

The present invention relates to the field of communications technologies, and in particular, to a method and an apparatus for evaluating RRC connection numbers.

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, the characteristics of these 3 kinds of services are different, and the three are not completely split, and some services may comprehensively require multiple characteristics. Therefore, for the development of 5G devices and services, the number of RRC connections allowed to be accessed by each base station for different services cannot be estimated by simply ignoring the service type to complete network resource planning and configuration, so a method for estimating the service bearing capacity (RRC connection number) of a base station bearing multiple different services in multiple scenarios is needed.

Disclosure of Invention

The invention provides a method and a device for evaluating RRC connection numbers, which solve the problem of estimating service bearing capacity (RRC connection numbers) of a base station bearing a plurality of different services in multiple scenes.

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

in a first aspect, an embodiment of the present invention provides a method for evaluating an RRC connection number, including: acquiring a scene map and configuration parameters of the access network equipment to be built; simulating according to the scene map, and determining the signal-to-interference-plus-noise ratio SINR of at least one simulation point; determining rated scheduling frequency which can be borne by a Physical Downlink Control Channel (PDCCH) in a target scene according to the aggregation degree of control channel units (CCEs) corresponding to each SINR interval in different SINR intervals, SINR of at least one simulation point and configuration parameters; and determining the RRC connection number of the access network equipment to be built according to the rated scheduling frequency.

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

In a second aspect, the present invention provides an apparatus for evaluating the number of RRC connections, including: an acquisition unit and a processing unit.

Specifically, the acquiring unit is configured to acquire a scene map and configuration parameters of the access network device to be built.

And 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 rated scheduling frequency that the physical downlink control channel PDCCH can carry in the target scene according to the control channel element CCE aggregation degree corresponding to each SINR interval in different SINR intervals, the SINR of at least one emulation point, and the configuration parameter acquired by the acquiring unit. The processing unit is further configured to determine, according to the rated scheduling frequency, an RRC connection number of the access network device to be built.

In a third aspect, the present invention provides an apparatus for evaluating the number of RRC connections, including: 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 apparatus for estimating the number of RRC connections is running, the processor executes computer-executable instructions stored in the memory to cause the apparatus for estimating the number of RRC connections to perform the method for estimating the number of RRC connections as provided in the first aspect above.

In a fourth aspect, the present invention provides a computer-readable storage medium comprising instructions. The instructions, when executed on a computer, cause the computer to perform the method of evaluating the number of RRC connections 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 perform the method for evaluating the number of RRC connections according to the design of the first aspect.

It should be noted that the above-mentioned computer instructions may be stored in whole or in part on the first computer readable storage medium. The first computer readable storage medium may be packaged together with the processor of the RRC connection number evaluation device, or may be packaged separately from the processor of the RRC connection number evaluation device, which is not limited in the present invention.

The description of the second, third, fourth and fifth aspects of the present invention may refer to the detailed description of the first aspect; further, the advantageous effects described in the second aspect, the third aspect, the fourth aspect, and the fifth aspect may refer to the advantageous effect analysis of the first aspect, and are not described herein.

In the present invention, the names of the above-described RRC connection number evaluation means do not constitute limitations on the devices or function modules themselves, and in actual implementation, these devices or function 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.

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 invention 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 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 simplified schematic diagram of a system architecture to which an RRC connection number evaluation method according to an embodiment of the present invention is applied;

fig. 2 is a flowchart of a method for evaluating RRC connection number according to an embodiment of the present invention;

fig. 3 is a second flowchart of a method for evaluating RRC connection number according to an embodiment of the present invention;

fig. 4 is a schematic diagram of a preset relationship between the RRC connection number and the scheduling frequency that the PDCCH can carry in the method for evaluating the RRC connection number according to an embodiment of the present invention;

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

fig. 6 is a second schematic structural diagram of an apparatus for evaluating RRC connection number 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 RRC connection number according to an embodiment of the present invention.

Detailed Description

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

The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but 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.

In order to clearly describe the technical solution of the embodiments of the present invention, in the embodiments of the present invention, the terms "first", "second", etc. 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", etc. do not limit the 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 method for estimating the service bearer capability (RRC connection number) of a cell that carries multiple different services in multiple scenarios is needed.

In view of the foregoing, embodiments of the present application provide an evaluation method of RRC connection number, which is applied to an evaluation device of RRC connection number. The device can 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 the embodiment of the present invention may be applied, as shown in fig. 1, where the system architecture may include: an access network device 1, a terminal 2 and a server 3 are proposed. The terminal 2 accesses the service through the planned access network device 1, and the server 3 is used for acquiring a scene map and configuration parameters of the planned access network device 1 and a guarantee bandwidth of a preset service which can be initiated by the terminal 2.

The evaluation device of the RRC connection number in the embodiment of the present invention may be the server 3 shown in fig. 1, or may be a part of devices in the server 3. Such as a chip system in the server 3. The chip system is adapted to support the server 3 for the functions involved in implementing the first aspect and any one of its possible implementations. Such as: and acquiring a scene map and configuration parameters of the access network equipment 1 to be built, and guaranteeing the bandwidth of the 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 invention, the access network equipment to be built can be a base station or a base station controller for wireless communication, etc. In an embodiment of the present invention, the base station may be a global system for mobile communications (globalsystem for mobil ecommunication, GSM), a base station (basetransceiver station, BTS) in code division multiple access (code division multiple access, CDMA), a base station (node B, NB) in wideband code division multiple access (wideband code division multiple access, WCDMA), a base station (evolvedNode B, eNB) in long term evolution (Long Term Evolution, LTE), an eNB in the internet of things (internet of things, ioT) or narrowband internet of things (narrow band-internetof 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 invention.

The terminal is used for providing voice and/or data connectivity services to the user. The terminals may be variously named, for example, user Equipment (UE), access terminals, terminal units, terminal stations, mobile stations, remote terminals, mobile devices, wireless communication devices, vehicle user equipment, terminal agents or end devices, etc. Optionally, the terminal may be a handheld device, an in-vehicle device, a wearable device, or a computer with a communication function, which is not limited in any way in the embodiment of the present invention. For example, the handheld device may be a smart phone. The in-vehicle device may be an in-vehicle navigation system. The wearable device may be a smart bracelet. The computer may be a personal digital assistant (personal digital assistant, PDA) computer, a tablet computer, or a laptop computer (laptop computer).

The following describes the method for evaluating the RRC connection number according to the embodiment of the present invention, taking the apparatus for evaluating the RRC connection number as the server 3 and the access network device as the base station.

As shown in fig. 2, the evaluation method of the RRC connection number includes the following contents of S11-S14:

s11, the server 3 acquires a scene map and configuration parameters of the access network equipment to be built.

S12, the server 3 carries out simulation according to the scene map, and determines the signal-to-interference-plus-noise ratio SINR of at least one simulation point.

Specifically, in practical application, conventional planning software (such as Atoll, etc.), the server 3 performs planning simulation of a single simulation point by importing a scene map (such as a three-dimensional (Three dimensional map, 3D) map or a planning map) of the to-be-deployed access network device and a category (such as an 8 transceiver module (transmitter and receiver, abbreviated as TR), 16TR or 32 TR) of the base station, so as to collect planning simulation data of a plurality of terminals, and further obtain SINR of each simulation point.

Illustratively, taking the first threshold as 12.5, the second threshold as 4.5, and the third threshold as 2.5 as examples, the distributions of the first section, the second section, the third section, and the fourth section are shown in table 1.

TABLE 1

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

Then, the simulation point duty ratios in the first section, the second section, the third section, and the fourth section are determined by counting the total number of sampling points distributed in the first section, the second section, the third section, and the fourth section. Wherein, the liquid crystal display device comprises a liquid crystal display device,

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

S13, the server 3 determines rated scheduling frequency which can be carried by the physical downlink control channel PDCCH in the target scene according to the control channel element CCE aggregation degree corresponding to each SINR interval in different SINR intervals, SINR of at least one simulation point and configuration parameters.

Specifically, the PDCCH is mainly used for transmitting downlink control information and UL Grant, so that the terminal can correctly receive a physical downlink physical shared channel (Physical Downlink Shared Channel, PDSCH) and allocate uplink resources for an uplink physical shared channel (Physical Uplink Shared Channel, PUSCH), where the allocation unit is CCE (1 CCE equals 6 Resource Element groups (Resource Element group, REG) equals 72 Resource Elements (REs)). For one PDCCH, it consists of one or more CCEs, and the number of CCEs allocated varies according to the aggregation level. Therefore, the embodiment of the invention calculates the scheduling capability of the PDCCH of the proposed access network equipment based on the occupation conditions of CCE and RB.

S14, the server 3 rated scheduling frequency determines the RRC connection number of the access network equipment to be built.

Specifically, the target scene is a multiple access scene. Wherein, the service packet or the signaling packet needs to be frequently initiated in the multi-access scene. Such as: a scenario where the RRC connection number is greater than 100 or more.

In an embodiment, the configuration parameter includes a total number of Resource Blocks (RBs), a number of time slots (slots) included in the first preset duration, and a ratio of downlink RBs, in this case, as shown in fig. 2 and fig. 3, S13 may be specifically implemented through S130 to S132 described below.

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

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

S132, the server 3 determines 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 number of slots contained in the preset duration and the duty ratio of the downlink RBs.

Specifically, the preset duration may be 100ms.

In one embodiment, in conjunction with fig. 2, as shown in fig. 3, the average CCEs in the above S131 embodiment satisfy:

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

Illustratively, the correspondence of CCE aggregation level, aggregation level distribution, and number of spatial division layers is shown in table 2.

TABLE 2

CCE aggregation degree	Distribution of polymerization degree	Number of space layering
			2	P _G	2
4	P _M	1
			8	P _B	1
16	P _side	1

Illustratively, assume that the total number of simulation points is 100; wherein the simulation point in the first interval has a duty ratio P _G 60% (i.e. SINR acquired by 60 simulation points is greater than or equal to the first threshold value), the simulation point in the second interval occupies a ratio P _M 25% (i.e. the SINR acquired by 25 simulation points is greater than or equal to the second threshold and less than the first threshold), the simulation point duty cycle P in the third interval _B At 10% (i.e. SINR acquired with 10 simulation points is greater than or equal to the third threshold and less than the second threshold), the simulation point duty cycle P in the fourth interval _side For 5% (i.e., SINR acquired with 5 simulation points is less than or equal to the third threshold), then, in conjunction with table 2, the average CCE is equal to

In one embodiment, referring to fig. 2, as shown in fig. 3, the nominal scheduling frequency in S132 satisfies:

wherein N is _PDCCH Indicating the rated scheduling frequency, N _RB Representing the total number of RBs, P _CCE Represents average CCE, N _slot Representing the slot number and P of time slots contained in preset duration _DL Indicating the duty cycle of the downlink RB.

Specifically, the duty ratio of the downlink RB may be set according to actual situations, for example: 80%.

Specifically, the rated scheduling frequency is the scheduling frequency of the MAC layer within a preset duration. The preset duration may be, for example, 100ms.

In an embodiment, in conjunction with fig. 2, as shown in fig. 3, S14 may be specifically implemented by S140 described below.

And S140, the server 3 determines the RRC connection number of the access network equipment to be built according to the corresponding relation between the preset scheduling frequency and the RRC connection number of the radio resource control and the rated scheduling frequency. Wherein, the RRC connection number satisfies:

wherein RRC represents the RRC connection count, N _PDCCH Indicating the nominal scheduling frequency.

Specifically, in practical application, in order to more accurately analyze the corresponding relation between the scheduling frequency and the RRC connection number, the invention analyzes the correlation between the scheduling frequency and the RRC connection number through measurement report (Measurement Report, MR) data of more than one month extracted from a network management platform. By calculating the correlation between the RRC connection number and the scheduling frequency which can be borne by the PDCCH, the strong correlation between the RRC connection number and the scheduling frequency is found. The correlation between the RRC connection number and the scheduling frequency that the PDCCH can carry is shown in table 3.

TABLE 3 Table 3

Index (I)	Correlation coefficient with PDCCH channel occupancy value
		Number of RRC connection successes	0.76
Maximum RRC connection count	0.73

The correlation degree between the RRC connection success times and the scheduling frequency which can be borne by the PDCCH meets the following conditions:

the correlation between the maximum RRC connection number and the scheduling frequency that the PDCCH can carry satisfies:

wherein Corr _{Number of RRC connection successes} Represents the correlation between the number of RRC connection successes and the scheduling frequency that the PDCCH can carry, corr _{Maximum RRC connection count} The correlation between the maximum RRC connection number and the scheduling frequency that the PDCCH can carry is represented, COV represents Covariance (Covariance), and D represents variance (variance).

For example, taking the RRC connection number of a plurality of cells under the specified province and the scheduling frequency that the PDCCH can carry as an example, the process of determining the correspondence between the scheduling frequency and the RRC connection number is as follows:

and establishing a preset relation between the RRC connection number and the scheduling frequency which can be borne by the PDCCH according to the exponential function. Wherein, the preset relation satisfies:

RRC＝f(N _PDCCH )。

further, the preset relation is determined to be satisfied by inputting the RRC connection number and the scheduling frequency that the PDCCH can carry corresponding to each time in the MR data into the preset relation:

in practical applications, the coefficient R may be obtained by ² Determining the accuracy of the preset relationship; wherein R is ² The method meets the following conditions:

wherein RRC is a Radio Resource Control (RRC) _real Representing the actually acquired RRC _fit Indicating RRC determined according to a preset relationship, RRC _mean The average value of the RRC actually acquired is shown.

Specifically, the operator can perform iterative update of the multiple data samples by updating the MR data, thereby improving the accuracy of the preset relationship.

For example, the preset relationship between the RRC connection number and the scheduling frequency that the PDCCH can carry is shown in fig. 4.

The foregoing description of the solution provided by the embodiments of the present invention has been mainly presented in terms of a method. To achieve the above functions, it includes corresponding hardware structures and/or software modules that perform the respective functions. Those of skill in the art will readily appreciate that the various illustrative elements and 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.

The embodiment of the invention can divide the functional modules of the evaluation device of the RRC connection number according to the method example, for example, each functional 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. 5 is a schematic structural diagram of an apparatus 10 for evaluating RRC connection number according to an embodiment of the present invention. The evaluation device 10 of the RRC connection number is configured to obtain a scene map and configuration parameters of the access network device to be built; simulating according to the scene map, and determining the signal-to-interference-plus-noise ratio SINR of at least one simulation point; determining rated scheduling frequency which can be borne by a Physical Downlink Control Channel (PDCCH) in a target scene according to the aggregation degree of control channel units (CCEs) corresponding to each SINR interval in different SINR intervals, SINR of at least one simulation point and configuration parameters; and determining the RRC connection number of the access network equipment to be built according to the corresponding relation between the preset scheduling frequency and the radio resource control RRC connection number and the rated scheduling frequency. The evaluation device 10 of the RRC connection number may include an acquisition unit 101 and a processing unit 102.

An obtaining unit 101, configured to obtain a scene map and configuration parameters of the access network device to be built. For example, in connection with fig. 2, the acquisition unit 101 may be used to perform S11.

And a processing unit 102, configured to perform simulation according to the scene map acquired by the acquisition 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 a rated scheduling frequency that the physical downlink control channel PDCCH can carry in the target scenario according to the control channel element CCE aggregation level corresponding to each SINR interval in different SINR intervals, the SINR of at least one emulation point, and the configuration parameter acquired by the acquiring unit 101. The processing unit 102 is further configured to determine, according to the rated scheduling frequency, the RRC connection number of the access network device to be built. For example, in connection with fig. 2, the processing unit 102 may be used to perform S12, S13 and S14. In connection with fig. 3, the processing unit 102 may be configured to perform S130, S131, S132, and S140.

All relevant contents of each step related to the above method embodiment may be cited to the functional descriptions of the corresponding functional modules, and their effects are not described herein.

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

Fig. 6 is a schematic structural diagram of an apparatus 10 for evaluating the number of RRC connections according to an embodiment of the present invention, and as shown in fig. 6, the apparatus 10 for evaluating the number of RRC connections 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 RRC connection number estimating apparatus 10 in detail with reference to fig. 6:

the processor 51 is a control center of the RRC connection number evaluation device 10, and may be one processor or a plurality of processing elements. For example, processor 51 is a central processing unit (Central Processing Unit, CPU), but may also be an integrated circuit (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 (Field Programmable Gate Array, FPGAs).

In a particular implementation, processor 51 may include one or more CPUs, such as CPU0 and CPU1 shown in FIG. 6, as an example. Also, as an example, the evaluation device 10 of the RRC connection number 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, but is not limited to, a Read-Only Memory (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, an electrically erasable programmable Read-Only Memory (Electrically Erasable Programmable Read-Only Memory, EEPROM), a compact disc (Compact Disc Read-Only Memory, CD-ROM) or other optical disk storage, optical disk 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 52 may be stand alone and be coupled to the processor 51 via a communication bus 54. Memory 52 may also be integrated with processor 51.

In a specific implementation, the memory 52 is used to store data in the present invention and to execute software programs of the present invention. The processor 51 may perform various functions of the air conditioner by running or executing a software program stored in the memory 52 and calling data stored in the memory 52.

The communication interface 53 uses any transceiver-like means for communicating with other devices or communication networks, such as a radio access network (Radio Access Network, RAN), a wireless local area network (Wireless Local Area Networks, WLAN), a terminal, a cloud, etc. The communication interface 53 may include a receiving unit implementing a receiving function and a transmitting unit implementing a transmitting function.

The communication bus 54 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 may be classified as an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in fig. 6, but not only one bus or one type of bus.

As an example, in connection with fig. 5, the acquiring unit 101 in the evaluation device 10 of rrc connection number realizes the same function as the communication interface 53 in fig. 6, the processing unit 102 realizes the same function as the processor 51 in fig. 6, and the storage unit 103 realizes the same function as the memory 52 in fig. 6.

Another embodiment of the present invention also provides a computer-readable storage medium having stored therein instructions which, when executed on a computer, cause the computer to perform the method shown in the above-described 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 provided by an embodiment of the invention, the computer program product comprising a computer program for executing a computer process on a computing device.

In one embodiment, a computer program product is provided using 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 functionality or portions of the functionality 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 carried by one or more instructions associated with signal bearing medium 410. Further, the program instructions in fig. 7 also describe example instructions.

In some examples, signal bearing medium 410 may comprise a computer readable medium 411 such as, but not limited to, a hard disk drive, compact Disk (CD), digital Video Disk (DVD), digital tape, memory, read-only memory (ROM), or random access memory (random access memory, RAM), among others.

In some implementations, the signal bearing medium 410 may include a computer recordable medium 412 such as, but not limited to, memory, read/write (R/W) CD, 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., fiber optic cable, waveguide, wired communications link, wireless communications link, etc.).

The signal bearing medium 410 may be conveyed by a communication medium 413 in wireless form (e.g., a wireless communication medium conforming to the IEEE 802.41 standard or other transmission 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 described with respect to fig. 2 may be configured to provide various operations, functions, or actions in response to program instructions through one or more of computer-readable medium 411, computer-recordable medium 412, and/or communication medium 413.

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.

In the several embodiments provided by the present invention, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the modules or units is merely a logical functional division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another apparatus, 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 displayed 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 invention 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 specific embodiments of the present invention, and the scope of the present invention is not limited thereto, but any changes or substitutions within the technical scope of the present invention should be covered by the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. A method for evaluating the number of RRC connections, comprising:

acquiring a scene map and configuration parameters of the access network equipment to be built;

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

determining rated scheduling frequency which can be carried by a Physical Downlink Control Channel (PDCCH) in a target scene according to the aggregation degree of control channel units (CCEs) corresponding to each SINR interval in different SINR intervals, SINR of the at least one simulation point and the configuration parameter;

determining the RRC connection number of the access network equipment to be built according to the corresponding relation between the preset scheduling frequency and the radio resource control RRC connection number and the rated scheduling frequency; wherein the RRC connection number satisfies:

2. The method for evaluating the RRC connection number according to claim 1, wherein the configuration parameter includes a total number of resource blocks RBs, a slot number included in a preset duration, and a duty ratio of downlink RBs;

the determining the rated scheduling frequency that the physical downlink control channel PDCCH can carry in the target scene according to the control channel element CCE aggregation degree corresponding to each SINR interval in different SINR intervals, the SINR of the at least one emulation point, and the configuration parameter includes:

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

determining average CCE according to CCE aggregation degree corresponding to each SINR interval in different SINR intervals and simulation point duty ratio in each SINR interval in the different SINR intervals;

and determining the 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 number of time slots contained in the preset time length and the duty ratio of the downlink RBs.

3. The method for evaluating the RRC connection number according to claim 2, wherein the determining an average CCE according to the CCE aggregation level corresponding to each SINR interval of the different SINR intervals and the simulated point occupation ratio in each SINR interval of the different SINR intervals includes:

determining average CCE according to CCE aggregation degree corresponding to each SINR interval in different SINR intervals and simulation point duty ratio in each SINR interval in the different SINR intervals; wherein the average CCE satisfies:

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

4. The method for evaluating the RRC connection number according to claim 2, wherein the determining the rated scheduling frequency that the PDCCH can carry in the target scenario according to the average CCE, the total number of RBs, the number of slots included in the preset duration, and the duty ratio of the downlink RBs includes:

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

5. An apparatus for evaluating the number of RRC connections, comprising:

the acquisition unit is used for acquiring a scene map and configuration parameters of the access network equipment to be built;

the processing unit is used for simulating 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 rated scheduling frequency that can be carried by a physical downlink control channel PDCCH in a target scene according to the control channel element CCE aggregation degree corresponding to each SINR interval in different SINR intervals, the SINR of the at least one emulation point, and the configuration parameter acquired by the acquiring unit;

the processing unit is further configured to determine, according to a preset correspondence between a scheduling frequency and a radio resource control RRC connection number, and the rated scheduling frequency, an RRC connection number of the access network device to be built; wherein the RRC connection number satisfies:

6. The apparatus for evaluating the RRC connection number according to claim 5, wherein the configuration parameter includes a total number of resource blocks RBs, a number of slots included in a preset duration, and a ratio of downlink RBs;

the processing unit is specifically configured to determine, according to the SINR of the at least one emulation point, an emulation point duty ratio in each of the SINR intervals;

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

the processing unit is specifically configured to determine a rated scheduling frequency that can be carried by a PDCCH in a target scenario according to the average CCE, the total number of RBs acquired by the acquiring unit, the number of slots included in the preset duration acquired by the acquiring unit, and the duty ratio of the downlink RBs acquired by the acquiring unit.

7. The apparatus for evaluating the RRC connection number 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 of different SINR intervals and a simulated point occupation ratio in each SINR interval of the different SINR intervals; wherein the average CCE satisfies:

wherein P is _CCE Represents average CCE, P _G Representing the simulated point duty ratio, P, in the first interval _M Representing the simulated point duty ratio, P, in the second interval _B Representing the simulated point duty ratio, P, in the third interval _side Representing the simulated point duty ratio in the fourth interval, wherein the first interval is an interval with SINR greater than or equal to the first threshold value, and the second interval is an interval with SINR less thanA section where the first threshold value is equal to or greater than a second threshold value, a third section where the SINR is equal to or less than the second threshold value, a fourth section where the SINR is equal to or less than the third threshold value, and CCE ₂ Representing the CCE aggregation degree corresponding to the first interval and CCE ₄ Indicating the CCE aggregation degree corresponding to the second interval and CCE ₈ Indicating the CCE aggregation degree corresponding to the third interval and CCE ₁₆ Represents the CCE aggregation degree, K corresponding to the fourth interval ₁ Space division layer number K representing CCE aggregation degree corresponding to first interval ₂ Space division layer number K representing CCE aggregation degree corresponding to second interval ₃ Space division layer number K representing CCE aggregation degree corresponding to third interval ₄ The number of space division layers indicating the CCE aggregation level corresponding to the fourth segment.

8. The apparatus for evaluating the RRC connection number according to claim 6, wherein the processing unit is specifically configured to determine a rated scheduling frequency that can be carried by a PDCCH in a target scenario according to the average CCE, the total number of RBs acquired by the acquiring unit, the number of slots included in the preset duration acquired by the acquiring unit, and the duty ratio of the downlink RBs acquired by the acquiring unit; wherein the nominal scheduling frequency satisfies:

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

10. An apparatus for evaluating the number of RRC connections, 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 means for evaluating the RRC connection number is operated, the processor executes the computer-executable instructions stored in the memory to cause the means for evaluating the RRC connection number to perform the method for evaluating the RRC connection number according to any of the preceding claims 1-4.