CN112312448A

CN112312448A - Method and device for evaluating RRC (radio resource control) connection number

Info

Publication number: CN112312448A
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: 2021-02-02
Anticipated expiration: 2040-11-27
Also published as: CN112312448B

Abstract

The invention provides a method and a device for evaluating the number of Radio Resource Control (RRC) connections, relates to the technical field of communication, and solves the problem of how to pre-estimate the service bearing capacity (the number of RRC connections) 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 access network planning equipment; simulating according to the scene map, and determining the signal to interference plus noise ratio SINR of at least one simulation point; determining the rated scheduling frequency which can be borne by the physical downlink control channel PDCCH under a target scene according to the CCE polymerization degree of each SINR interval, the SINR of at least one simulation point and configuration parameters; and determining the number of RRC connections of the access network equipment to be built according to the rated scheduling frequency.

Description

Method and device for evaluating RRC (radio resource control) 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 number.

Background

Currently, a fully-covered fifth-Generation (5th-Generation, 5G) communication system has three major functions or services, namely, Ultra-large bandwidth (embb), Low-Latency and high-reliability service (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 RRC connections that can be allowed to be accessed by each base station for different services cannot be estimated in a simple manner of ignoring the service type to complete network resource planning and configuration, and therefore a method for estimating service carrying capacity (number of RRC connections) 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 Radio Resource Control (RRC) connections, which solve the problem of how to pre-estimate the service bearing capacity (the number of RRC connections) of a base station bearing 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 a number of RRC connections, including: acquiring a scene map and configuration parameters of the access network planning equipment; simulating according to the scene map, and determining the signal to interference plus noise ratio SINR of at least one simulation point; determining the rated scheduling frequency which can be borne by the physical downlink control channel PDCCH under a target scene according to the CCE polymerization degree of each SINR interval, the SINR of at least one simulation point and configuration parameters; and determining the number of RRC connections of the access network equipment to be built according to the rated scheduling frequency.

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, the embodiment of the present application first obtains the scene map and configuration parameters of the access network planning device; 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 the rated scheduling frequency which can be borne by the physical downlink control channel PDCCH under a target scene according to the CCE polymerization degree of the 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 RRC connections of the access network equipment to be built according to the rated scheduling frequency. 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 (RRC connection number) of the base station bearing various different services under multiple scenes.

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 obtaining unit is configured to obtain a scene map and configuration parameters of 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 rated scheduling frequency that the physical downlink control channel PDCCH can bear in a target scene according to the control channel element CCE aggregation level corresponding to 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 the number of RRC connections of the access network device to be established according to the rated scheduling frequency.

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 evaluating the number of RRC connections is operating, the processor executes the computer-executable instructions stored in the memory to cause the apparatus for evaluating the number of RRC connections to perform the method for evaluating the number of RRC connections as provided in the first aspect above.

In a fourth aspect, the 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 execute the method for evaluating the number of RRC connections 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 RRC connections, or may be packaged separately from the processor of the apparatus for evaluating the number of RRC connections, 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 name of the above-mentioned device for evaluating the number of RRC connections does not limit the device or the functional module itself, and in practical implementation, the device or the functional module 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 diagram of a system architecture applied to a method for evaluating the number of RRC connections according to an embodiment of the present invention;

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

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

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

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

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

fig. 7 is a schematic structural diagram of a computer program product of a method for evaluating the number of RRC connections 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 types of 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 in a simple mode of ignoring service types. Therefore, a method for estimating service carrying capacity (RRC connection number) for a cell carrying multiple different services in multiple scenarios is needed.

In view of the above problem, an embodiment of the present application provides a method for evaluating the number of RRC connections, which is applied to an apparatus for evaluating the number of RRC connections. 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 RRC connections 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 bracelet. The computer may be a Personal Digital Assistant (PDA) computer, a tablet computer, and a laptop computer.

In the following, the method for evaluating the number of RRC connections provided by the embodiment of the present invention is described with reference to the communication system shown in fig. 1, taking an evaluation device of the number of RRC connections as a server 3 and a proposed access network device as a proposed base station.

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

s11, the server 3 obtains the scene map and the configuration parameters of the proposed access network equipment.

S12, the server 3 simulates according to the scene map and determines the 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 1.

TABLE 1

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 content of the first and second substances,

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

S13, the server 3 determines the rated scheduling frequency that the physical downlink control channel PDCCH can bear in the target scene according to the CCE polymerization degree 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 parameters.

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 scheduling 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 RRC connection number of the access network equipment to be built according to the rated scheduling frequency.

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.

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. 3, 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 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.

S132, the server 3 determines 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 slot number contained in the preset time and the proportion of the downlink RBs.

Specifically, the preset time period may be 100 ms.

In an implementable manner, referring to fig. 2, as shown in fig. 3, the average CCE in S131 specifically satisfies:

wherein, P_CCEDenotes the average CCE, P_GRepresents the ratio of simulation points, P, in the first interval_MRepresents the ratio of simulation points in the second interval, P_BRepresents the ratio of simulation points in the third interval, P_sideIndicating 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, the CCE₂Indicates the CCE aggregation level, CCE, corresponding to the first interval₄Indicates the CCE aggregation level, CCE, corresponding to the second interval₈Indicates the CCE aggregation level, CCE, corresponding to the third interval₁₆Indicates the CCE aggregation level, K, corresponding to the fourth interval₁Number of space division layers, K, indicating CCE aggregation level corresponding to first section₂Number of space division layers, K, indicating CCE aggregation level corresponding to second interval₃Number of space division layers, K, indicating CCE aggregation level corresponding to third segment₄The number of space division layers indicating the CCE aggregation level corresponding to the fourth segment.

Exemplarily, the correspondence relationship between the CCE aggregation level, the aggregation level distribution, and the number of space division layers is shown in table 2.

TABLE 2

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

For example, assume that the total number of simulation points is 100; wherein, the ratio of simulation points P in the first interval_GIs 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_MIs 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_BIs 10% (i.e. SINR collected by 10 simulation points is greater than or equal to the third threshold and less than the second threshold), in the fourth intervalRatio of simulation points P_sideIs 5% (i.e. SINR collected by 5 simulation points is less than or equal to the third threshold), then, in conjunction with table 2, average CCE is equal to

In an implementable manner, referring to fig. 2, as shown in fig. 3, the nominal scheduling frequency in S132 described above satisfies:

wherein N is_PDCCHIndicating nominal scheduling frequency, N_RBDenotes the total number of RBs, P_CCEDenotes the average CCE, N_slotIndicating the slot number, P, contained in a preset duration_DLIndicating the occupation ratio of the downlink RB.

Specifically, the occupation ratio of the downlink RB may be set according to an actual situation, such as: 80 percent.

Specifically, the nominal scheduling frequency is the scheduling frequency of the MAC layer within a preset time duration. For example, the preset time period may be 100 ms.

In an implementation manner, referring to fig. 2, as shown in fig. 3, S14 described above can be specifically realized by S140 described below.

S140, the server 3 determines the RRC connection number of the proposed access network equipment according to the preset corresponding relation between the 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 number of RRC connections, N_PDCCHIndicating the nominal scheduling frequency.

Specifically, in practical applications, in order to more accurately analyze the corresponding relationship between the scheduling frequency and the RRC connection number, the present invention performs correlation analysis between the scheduling frequency and the RRC connection number by using Measurement Report (MR) data of more than the last month extracted from a network management platform. By calculating the correlation between the RRC connection number and the scheduling frequency which can be carried by the PDCCH, the strong correlation between the RRC connection number and the scheduling frequency is found. The correlation between the number of RRC connections and the scheduling frequency that the PDCCH can carry is shown in table 3.

TABLE 3

Index (I)	Correlation coefficient with PDCCH channel occupancy
		Number of successful RRC connections	0.76
Maximum number of RRC connections	0.73

Wherein, the correlation between the RRC connection success times and the dispatching frequency which can be carried by the PDCCH meets the following requirements:

the correlation between the maximum RRC connection number and the scheduling frequency carried by the PDCCH meets the following requirements:

wherein, Corr_{Number of successful RRC connections}Indicating the correlation between the number of successful RRC connections and the scheduling frequency that the PDCCH can carry, Corr_{Maximum number of RRC connections}Indicating the correlation, COV, between the maximum number of RRC connections and the scheduling frequency that the PDCCH can carryCovariance (Covariance) is represented and variance (variance) is represented by D.

For example, taking the number of RRC connections of a plurality of cells in a given 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 number of RRC connections 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 relationship satisfies:

RRC＝f(N_PDCCH)。

further, the preset relationship is input by the number of RRC connections corresponding to each time in the MR data and the scheduling frequency that the PDCCH can carry, and it is determined that the preset relationship satisfies:

in practical applications, the coefficient R can be obtained by sensing²Determining the accuracy of the preset relationship; wherein R is²Satisfies the following conditions:

wherein RRC is_realRepresenting the actually acquired RRC, RRC_fitIndicating RRC, RRC determined according to a predetermined relationship_meanRepresents the average of the actually collected RRC.

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

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

The scheme provided by the embodiment of the invention is mainly introduced from the perspective of a method. To implement the above functions, it includes hardware structures and/or software modules for performing the respective functions. Those of skill in the art will readily appreciate that the present invention can be implemented in hardware or a combination of hardware and computer software, with the exemplary elements and algorithm steps described in connection with the embodiments disclosed herein. Whether a function is performed as 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 embodiment of the present invention may perform functional module division on the device for evaluating the number of RRC connections according to the above method example, for example, each functional module may be divided corresponding to each function, or two or more functions may 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 RRC connections according to an embodiment of the present invention. The evaluation device 10 of the RRC connection number is used for acquiring a scene map and configuration parameters of 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 the rated scheduling frequency which can be borne by the physical downlink control channel PDCCH under a target scene according to the CCE polymerization degree of each SINR interval, the SINR of at least one simulation point and configuration parameters; and determining the number of RRC connections of the access network equipment to be built according to the corresponding relation between the preset scheduling frequency and the number of RRC connections for controlling the radio resources and the rated scheduling frequency. The apparatus 10 for evaluating the number of RRC connections may include an obtaining 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. For example, in conjunction 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 the at least one simulation point, and the configuration parameter acquired by the acquiring unit 101, a 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 rated scheduling frequency, the number of RRC connections of the access network device to be established. For example, in conjunction with FIG. 2, the processing unit 102 may be configured to perform S12, S13, and S14. In conjunction 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 referred to the functional description of the corresponding functional module, and the function thereof is not described herein again.

Of course, the apparatus 10 for evaluating the number of RRC connections 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 RRC connections may further include the storage unit 103. The storage unit 103 may be configured to store the program code of the evaluation apparatus 10 for writing the RRC connection number, and may also be configured to store data generated by the evaluation apparatus 10 for writing the RRC connection number 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 RRC connections according to an embodiment of the present invention, 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 evaluation apparatus 10 in detail with reference to fig. 6:

the processor 51 is a control center of the apparatus 10 for evaluating the number of RRC connections, and may be a single processor or a collective term for 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 example. Also, as an embodiment, the apparatus 10 for evaluating the number of RRC connections 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 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 (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 this is not intended to represent only one bus or type of bus.

As an example, in conjunction with fig. 5, the acquiring unit 101 in the device 10 for evaluating the number of RRC connections implements the same function as the communication interface 53 in fig. 6, the processing unit 102 implements the same function as the processor 51 in fig. 6, and the storage unit 103 implements the same function as 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-implementing 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 embodiments provided in the present invention, it should be understood that the disclosed apparatus and method may be implemented in other ways. 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 essentially or partially contributed to by the prior art, or all or part of the technical solution may be embodied in the form of a software product, where the software product 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 steps 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 intended to 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 appended claims.

Claims

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

acquiring a scene map and configuration parameters of the access network planning equipment;

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

determining the rated scheduling frequency which can be borne by the physical downlink control channel PDCCH under a target scene according to the CCE polymerization degree of the control channel unit corresponding to each SINR interval in different SINR intervals, the SINR of the at least one simulation point and the configuration parameters;

and determining the RRC connection number of the proposed access network equipment according to the rated scheduling frequency.

2. The method according to claim 1, wherein the configuration parameters include a total number of Resource Blocks (RBs), slot numbers included in a preset duration, and a downlink RB ratio;

the determining, according to the control channel element CCE aggregation level corresponding to each SINR interval in different SINR intervals, the SINR of the at least one simulation point, and the configuration parameter, a nominal scheduling frequency that can be borne by the physical downlink control channel PDCCH in a target scene 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 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 slot number contained in the preset time and the ratio of the downlink RBs.

3. The method of claim 2, wherein the determining the 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_CCEDenotes the average CCE, P_GRepresents the ratio of simulation points, P, in the first interval_MRepresents the ratio of simulation points in the second interval, P_BRepresents the ratio of simulation points in the third interval, P_sideRepresenting 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 CCE₂Indicating a CCE aggregation level, CCE, corresponding to the first interval₄Indicating the CCE aggregation level, CCE, corresponding to the second interval₈Indicating the CCE aggregation level, CCE, corresponding to the third interval₁₆Indicates the CCE polymerization degree, K, corresponding to the fourth interval₁Number of space division layers, K, indicating CCE aggregation level corresponding to first section₂Number of space division layers, K, indicating CCE aggregation level corresponding to second interval₃Number of space division layers, K, indicating CCE aggregation level corresponding to third segment₄The number of space division layers indicating the CCE aggregation level corresponding to the fourth segment.

4. The method for evaluating the number of RRC connections according to claim 2, wherein the determining a 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 preset duration, and the ratio of the downlink RBs comprises:

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

5. The method of claim 1, wherein the determining the number of RRC connections of the proposed access network device according to the nominal scheduling frequency comprises:

determining the number of RRC connections of the proposed access network equipment according to the corresponding relation between the preset scheduling frequency and the number of RRC connections for controlling the radio resources and the rated scheduling frequency; wherein the RRC connection number satisfies:

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

the device comprises an acquisition unit, a configuration unit and a processing unit, wherein the acquisition unit is used for acquiring a scene map and configuration parameters of the access network planning 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 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;

and the processing unit is further configured to determine the number of RRC connections of the proposed access network device according to the rated scheduling frequency.

7. The apparatus for evaluating the number of RRC connections according to claim 6, wherein the configuration parameters include a total number of resource blocks RB, a slot number 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 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 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 slot number included in the preset time duration obtained by the obtaining unit, and the proportion of the downlink RBs obtained by the obtaining unit.

8. The apparatus according to claim 7, 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 simulated points in each SINR interval in the different SINR intervals; wherein the average CCE satisfies:

9. The apparatus for evaluating the number of RRC connections according to claim 7, wherein the processing unit is specifically configured to determine a nominal 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, a slot number included in the preset time duration obtained by the obtaining unit, and a duty ratio of the downlink RB obtained by the obtaining unit; wherein the rated scheduling frequency satisfies:

wherein N is_PDCCHIndicating nominal schedulingFrequency, N_RBDenotes the total number of RBs, P_CCEDenotes the average CCE, N_slotIndicating the slot number, P, contained in a preset duration_DLIndicating the occupation ratio of the downlink RB.

10. The apparatus according to claim 6, wherein the processing unit is specifically configured to determine the number of RRC connections of the proposed access network device according to a preset corresponding relationship between a scheduling frequency and a number of radio resource control RRC connections and the rated scheduling frequency; wherein the RRC connection number satisfies:

11. A computer-readable storage medium comprising instructions which, when executed on a computer, cause the computer to perform the method of assessing the number of RRC connections according to any one of claims 1 to 5.

12. 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 device for evaluating the number of RRC connections is operating, the processor executes computer-executable instructions stored in the memory to cause the device for evaluating the number of RRC connections to perform the method for evaluating the number of RRC connections according to any one of claims 1 to 5.