CN114125896A

CN114125896A - Wireless resource load evaluation method, device and computer readable storage medium

Info

Publication number: CN114125896A
Application number: CN202111290552.7A
Authority: CN
Inventors: 金雨超; 李�一; 李菲; 李德屹; 郭省力; 李京辉; 贾玉玮; 程新洲
Original assignee: China United Network Communications Group Co Ltd
Current assignee: China United Network Communications Group Co Ltd
Priority date: 2021-11-02
Filing date: 2021-11-02
Publication date: 2022-03-01
Anticipated expiration: 2041-11-02
Also published as: CN114125896B

Abstract

The application provides a wireless resource load assessment method, a wireless resource load assessment device and a computer readable storage medium, relates to the technical field of communication, and can reflect the actual load condition of cell wireless resources in an MIMO scene. The method comprises the following steps: acquiring sampling data of a target cell in a sampling period; determining the number of available layers of a space domain of a target cell in a sampling period according to the sampling data; determining the wireless resource utilization rate of the target cell in the sampling period according to the sampling data and the number of available airspace layers of the target cell in the sampling period; wherein the radio resource utilization of the target cell is used for evaluating the radio resource load of the target cell.

Description

Wireless resource load evaluation method, device and computer readable storage medium

Technical Field

The present application relates to the field of communications technologies, and in particular, to a method and an apparatus for evaluating radio resource load, and a computer-readable storage medium.

Background

With the development of communication technology, massive multiple-input multiple-output (massive MIMO) (also referred to as massive multiple antenna) technology is widely used in wireless networks as a key technology of 5th generation mobile communication technology (5G) communication, and in a MIMO scenario, wireless resources may be spatially divided into different spatial layer numbers (layers) from an airspace dimension, or airspace layer numbers. Currently, the radio resource load condition of a cell is usually evaluated according to a calculated radio resource utilization rate of the cell. Therefore, in the MIMO scenario, when evaluating the radio resource load condition of the cell by calculating the utilization rate of the radio resource of the cell, the number of available layers in the cell airspace should be considered.

In the existing scheme, when the utilization rate of wireless resources of a cell in an MIMO scene is calculated, a space division factor (spatial factor) Alpha is introduced to represent the number of available layers of a cell airspace. Currently, the space division factor is only specified as a configured constant, and the constant is to make the radio resource utilization rate of the cell less than 1. However, in practical applications, the situations of different cells are different, and therefore the number of available layers in the spatial domain of different cells may not be the same, and the number of available layers in the spatial domain of a cell may also change with time, so that if a fixed constant is used as a space division factor to calculate the wireless resource utilization rate of a cell in an MIMO scene, the space division factor may not faithfully reflect the actual spatial (space division) capability of different cells, and further the calculated wireless resource utilization rate of the cell may not reflect the actual load condition of the wireless resource of the cell in the MIMO scene. Therefore, how to provide a method for evaluating radio resource load that can reflect the actual load situation of the radio resource of a cell in an MIMO scenario is a problem to be solved.

Disclosure of Invention

The application provides a wireless resource load evaluation method, a wireless resource load evaluation device and a computer readable storage medium, which are used for solving the problem that the actual load condition of cell wireless resources in an MIMO scene cannot be reflected really by the conventional wireless resource load evaluation method.

In order to achieve the purpose, the technical scheme is as follows:

in a first aspect, a radio resource load assessment method is provided, which may be performed by a radio resource load assessment apparatus, and includes: acquiring sampling data of a target cell in a sampling period; determining the number of available layers of a space domain of a target cell in a sampling period according to the sampling data; determining the wireless resource utilization rate of the target cell in the sampling period according to the sampling data and the number of available airspace layers of the target cell in the sampling period; wherein the radio resource utilization of the target cell is used for evaluating the radio resource load of the target cell.

The wireless resource load evaluation method provided by the application is determined based on the number of available layers in the airspace of the target cell in a sampling period when the wireless resource utilization rate of the target cell is determined. Because the number of available layers in the airspace of the target cell in the sampling period is determined according to the sampling data in the sampling period, if the cell condition changes, the number of available layers in the airspace of the target cell in the sampling period also can be automatically changed along with the change of the spatial capability of the cell. Furthermore, the actual load conditions of the cell wireless resources under different cells or different user distribution scenes can be reflected in real time according to the wireless resource utilization rate of the cell determined by the available number of layers of the airspace of the target cell in the sampling period. In summary, compared with the existing scheme that the space division factor Alpha used for representing the number of available layers of the airspace of the cell is a configured fixed constant, the scheme solves the problem that the wireless resource utilization rate cannot reflect actual resource occupation due to the fact that the space division factor Alpha is unreasonable in numerical value setting in the existing scheme, can reflect the wireless resource load condition of the cell under the MIMO scene more accurately and reasonably, solves the problem that the space division factor Alpha needs to be adjusted frequently and repeatedly along with the change of time, scene and user distribution in the existing scheme, and can reduce the artificial error caused by external interference.

With reference to the first aspect, in some embodiments of the first aspect, determining the number of spatial layers available for the target cell in the sampling period according to the sampling data includes: determining the average scheduling layer number of the service channel of the target cell corresponding to the sampling time j in the sampling period T according to the sampling data; determining the number of available layers of the airspace of the target cell in the sampling period according to the average scheduling layer number of the service channel of the target cell corresponding to the sampling time j and a first calculation rule, wherein the first calculation rule meets the following relation: lm (t) ═ MAX_j(L_avg,j) (ii) a Wherein, lm (T) represents the number of available layers in the airspace of the target cell within the sampling period T; l is_avg,jThe average scheduling layer number of the service channel of the target cell corresponding to the sampling time j in the sampling period T is represented; MAX_j(L_avg,j) Represents L corresponding to each sampling time j_avg,jIn, take the largest value of L_avg,j。

With reference to the first aspect, in certain embodiments of the first aspect, sampling data comprises: m1_i,j(T)，L_i,j(T) and PRB_j，M1_i,j(T) represents the number of physical resource blocks PRB occupied by a terminal device i accessed to a target cell corresponding to a sampling moment j in a sampling period T; l is_i,j(T) represents the number of space layers occupied by PRB scheduled by the terminal equipment i corresponding to the sampling time j in the sampling period T; PRB_jRepresenting the number of PRBs occupied by the service channel of the target cell corresponding to the sampling time j in the sampling period T; determining the average scheduling layer number of the service channel of the target cell corresponding to the sampling time j in the sampling period T according to the sampling data, wherein the average scheduling layer number comprises the following steps: determining the average scheduling layer number of the service channel of the target cell corresponding to the sampling time j in the sampling period T according to the sampling data and a second calculation rule, wherein the second calculation rule satisfies the following relation:

wherein L is_avg,jRepresents the average scheduling layer number, sigma of the service channel of the target cell corresponding to the sampling time j in the sampling period T_iIndicating summing all i.

With reference to the first aspect, in certain embodiments of the first aspect, sampling data comprises: m1_i,j(T)，L_i,j(T), N (T) and P (T), M1_i,j(T) represents the number of physical resource blocks PRB occupied by a terminal device i accessed to a target cell corresponding to a sampling moment j in a sampling period T; l is_i,j(T) represents the number of space layers occupied by PRB scheduled by the terminal equipment i corresponding to the sampling time j in the sampling period T; n (T) represents the number of sampling instants within the sampling period T; p (T) represents the number of available PRBs of each layer of traffic channel of the target cell at each sampling moment in a sampling period T; determining the wireless resource utilization rate of the target cell in the sampling period according to the sampling data and the number of available airspace layers of the target cell in the sampling period, wherein the method comprises the following steps: determining the wireless resource utilization rate of the target cell in the sampling period according to the sampling data, the number of available airspace layers of the target cell in the sampling period and a third calculation rule, wherein the third calculation rule meets the following relation:

wherein M is_E(T) represents the radio resource utilization of the target cell within the sampling period T

Represents summing all i;

indicating summing all j.

With reference to the first aspect, in some embodiments of the first aspect, the radio resource utilization rate of the target cell is an uplink radio resource utilization rate of the target cell or a downlink radio resource utilization rate of the target cell; under the condition that the utilization rate of the wireless resources of the target cell is the utilization rate of the uplink wireless resources of the target cell, the service channel is a Physical Uplink Shared Channel (PUSCH); and under the condition that the wireless resource utilization rate of the target cell is the downlink wireless resource utilization rate of the target cell, the service channel is a Physical Downlink Shared Channel (PDSCH) channel.

In a second aspect, a radio resource load assessment apparatus is provided for implementing the above radio resource load assessment method. The radio resource load evaluation device comprises corresponding modules, units or means (means) for implementing the method, and the modules, units or means can be implemented by hardware, software or hardware to execute corresponding software. The hardware or software includes one or more modules or units corresponding to the above functions.

With reference to the second aspect, in some embodiments of the second aspect, the radio resource load assessment apparatus includes: a communication module and a processing module; the communication module is used for acquiring sampling data of a target cell in a sampling period; the processing module is used for determining the number of available airspace layers of the target cell in the sampling period according to the sampling data; the processing module is also used for determining the wireless resource utilization rate of the target cell in the sampling period according to the sampling data and the number of available airspace layers of the target cell in the sampling period; wherein the radio resource utilization of the target cell is used for evaluating the radio resource load of the target cell.

With reference to the second aspect, in some embodiments of the second aspect, the processing module is configured to determine, according to the sampling data, the number of spatial layers available in the target cell in the sampling period, and includes: the processing module is used for determining the average scheduling layer number of the service channel of the target cell corresponding to the sampling time j in the sampling period T according to the sampling data; determining the number of available layers of the airspace of the target cell in the sampling period according to the average scheduling layer number of the service channel of the target cell corresponding to the sampling time j and a first calculation rule, wherein the first calculation rule meets the following relation: lm (t) ═ MAX_j(L_avg,j) (ii) a Wherein, lm (T) represents the number of available layers in the airspace of the target cell within the sampling period T; l is_avg,jThe average scheduling layer number of the service channel of the target cell corresponding to the sampling time j in the sampling period T is represented; MAX_j(L_avg,j) Represents L corresponding to each sampling time j_avg,jIn, take the largest value of L_avg,j。

With reference to the second aspect, in certain embodiments of the second aspect, sampling data comprises: m1_i,j(T)，L_i,j(T) and PRB_j，M1_i,j(T) represents the number of physical resource blocks PRB occupied by a terminal device i accessed to a target cell corresponding to a sampling moment j in a sampling period T; l is_i,j(T) represents the number of space layers occupied by PRB scheduled by the terminal equipment i corresponding to the sampling time j in the sampling period T; PRB_jRepresenting the number of PRBs occupied by the service channel of the target cell corresponding to the sampling time j in the sampling period T; the processing module is configured to determine, according to the sampling data, an average scheduling layer number of a traffic channel of the target cell corresponding to the sampling time j in the sampling period T, and includes: the processing module is configured to determine, according to the sampling data and a second calculation rule, an average scheduling layer number of a traffic channel of the target cell corresponding to the sampling time j in the sampling period T, where the second calculation rule satisfies the following relationship:

wherein L is_avg,jRepresents the average scheduling layer number, sigma of the service channel of the cell corresponding to the sampling time j in the sampling period T_iIndicating summing all i.

With reference to the second aspect, in certain embodiments of the second aspect, sampling data comprises: m1_i,j(T)，L_i,j(T), N (T) and P (T), M1_i,j(T) represents the number of physical resource blocks PRB occupied by a terminal device i accessed to a target cell corresponding to a sampling moment j in a sampling period T; l is_i,j(T) represents the number of space layers occupied by PRB scheduled by the terminal equipment i corresponding to the sampling time j in the sampling period T; n (T) represents the number of sampling instants within the sampling period T; p (T) represents the number of available PRBs of each layer of traffic channel of the target cell at each sampling moment in a sampling period T; the processing module is used for determining the wireless resource utilization rate of the target cell in the sampling period according to the sampling data and the number of the available airspace layers of the target cell in the sampling period, and comprises the following steps: a processing module for determining the sampling period according to the sampling data, the number of available layers of the airspace of the target cell in the sampling period and a third calculation ruleThe radio resource utilization rate of the target cell in the period and the third calculation rule satisfy the following relation:

wherein M is_E(T) represents the radio resource utilization of the target cell within the sampling period T,

represents summing all i;

indicating summing all j.

With reference to the second aspect, in some embodiments of the second aspect, the radio resource utilization rate of the target cell is an uplink radio resource utilization rate of the target cell or a downlink radio resource utilization rate of the target cell; under the condition that the utilization rate of the wireless resources of the target cell is the utilization rate of the uplink wireless resources of the target cell, the service channel is a Physical Uplink Shared Channel (PUSCH); and under the condition that the wireless resource utilization rate of the target cell is the downlink wireless resource utilization rate of the target cell, the service channel is a Physical Downlink Shared Channel (PDSCH) channel.

In a third aspect, an apparatus for evaluating radio resource load is provided, including: at least one processor; the processor is configured to execute a computer program or instructions to cause the radio resource load assessment apparatus to perform the method of the first aspect.

With reference to the third aspect, in certain embodiments of the third aspect, the radio resource load assessment apparatus further comprises a memory for storing necessary program instructions and data. The memory may be coupled to the processor or may be independent of the processor.

In some possible designs, the radio resource load evaluation device may be a chip or a system-on-chip. When the radio resource load evaluation device is a chip system, the radio resource load evaluation device may be constituted by a chip, or may include a chip and other discrete devices.

In a fourth aspect, a computer-readable storage medium is provided, having stored thereon computer instructions, which, when executed by a computer, cause the computer to perform the method of the first aspect described above.

In a fifth aspect, there is provided a computer program product containing instructions which, when run on a computer, cause the computer to perform the method of the first aspect described above.

For technical effects brought by any one of the design manners of the second aspect to the fifth aspect, reference may be made to the technical effects brought by different design manners of the first aspect, and details are not repeated herein.

Drawings

Fig. 1 is a schematic view of an application scenario of a radio resource load assessment method according to an embodiment of the present application;

fig. 2 is a flowchart illustrating a method for evaluating radio resource load according to an embodiment of the present application;

fig. 3 is a schematic view of resource occupation of a PDSCH channel of a cell a corresponding to a first sampling time according to an embodiment of the present application;

fig. 4 is a schematic view of resource occupation of a PDSCH channel of a cell a corresponding to a second sampling time according to the embodiment of the present application;

fig. 5 is a schematic view of resource occupation of a PDSCH channel of a cell a corresponding to a third sampling time according to the embodiment of the present application;

fig. 6 is a schematic structural diagram of a radio resource load assessment apparatus provided in the present application;

fig. 7 is a schematic structural diagram of another radio resource load evaluation apparatus provided in the present application.

Detailed Description

To facilitate understanding of the technical solutions of the embodiments of the present application, a brief description of related technologies or terms of the present application is first given as follows.

1、MIMO：

massive MIMO is widely used in wireless networks as a key technology for 5G communications. In the MIMO scenario, in addition to the time domain dimension and the frequency domain dimension, the wireless resource may be spatially divided into different spatial layers from the spatial dimension, or spatial layers.

The MIMO technology can be divided into single-user MIMO (SU-MIMO) and multi-user MIMO (MU-MIMO) by using the difference between the number of users scheduled on the same time-frequency resource.

SU-MIMO, i.e. "single user multiple input multiple output", multiple spatial layers of the same time-frequency resource are occupied by the same terminal equipment.

MU-MIMO, i.e. "multi-user multi-input multi-output", is based on SU-MIMO, a multi-user simultaneous communication mechanism is added, multiple terminal equipments can share the same time-frequency resource in a space division manner, and a network equipment and multiple terminal equipments can simultaneously utilize the same time-frequency resource for uplink and downlink data transmission, thereby obtaining additional multi-user diversity gain and improving the utilization rate of wireless resources.

2. The wireless resource load evaluation method in the 5G system comprises the following steps:

currently, the wireless resource load is generally estimated by calculating the utilization rate of a Physical Resource Block (PRB) resource on the wireless side. Considering that the PRBs in 5G can be spatially separated, in the current third Generation Partnership Project (3 GPP) protocol, the evaluation on the PRB spatial resources of the PRBs is added to the wireless resource utilization rate defined by 38.314 protocol, and the calculation formula for the wireless resource utilization rate of the target cell is given as follows:

wherein, m (T) represents the radio resource utilization rate of the target cell in the sampling period T (which may also be referred to as the radio resource utilization rate of the traffic channel of the target cell in the sampling period); m1_i,j(T) represents the number of PRBs occupied by the terminal device i corresponding to the sampling time j in the sampling period T (the terminal device i is a terminal device accessed to the target cell); l is_ij(T) represents the terminal equipment corresponding to the sampling time j in the sampling period Ti, the number of spatial layers occupied by the PRB occupied by the terminal device i (or the number of spatial layers of the PRB scheduled by the terminal device i corresponding to the sampling time j); alpha represents a space division factor; n (T) represents the number of sampling instants within the sampling period T; p (T) represents the number of available PRBs per layer (spatial layer) traffic channel of the target cell at each sampling instant in the sampling period T. Currently, p (t) is a preconfigured constant related to the frequency domain bandwidth, and may be configured to 273, for example.

For the avoidance of doubt, the meaning of some of the operators in equation (1) is explained below: in the formula (1)

Means for all, e.g.

Represents for all i; Σ denotes summation, e.g.

Represents summing all i;

indicating rounding down, e.g.

The description is not repeated herein.

From the meaning of the above parameters, it can be understood that, in formula (1),

the number of PRBs actually occupied by all terminal devices accessing the target cell in the sampling period is multiplied by the number of layers of PRBs actually scheduled, in other words, the number of PRBs is represented as the wireless resources commonly occupied by the cell in three dimensions of time domain, frequency domain and space domain in the sampling period. N (t) p (t) represents the number of available PRBs per layer of traffic channel of the target cell in the sampling period. Therefore, in order to calculate the radio resource utilization rate of the cell in the sampling period T by the formula (1), the space division factor Alpha should be characterized to mean the space domain (space) of the cellThe number of layers is used, so that n (t) p (t) Alpha can be used to represent the available radio resources of the cell in three dimensions of time domain, frequency domain and space domain in the sampling period.

For Alpha, the current protocol is specified as a configured constant, the value range is 1-100, and the value of Alpha is specified to enable the value of PRB utilization rate to be in a reasonable range (namely the value of M (T) is not more than 1).

However, in practical applications, the number of spatial layers that can be scheduled by each cell varies due to different geographic environments of each cell, different location distributions of users, different types and amounts of services carried, and the like, that is, the number of available spatial layers of the cell varies with time and space. Therefore, if the actual conditions of the cells are disregarded, unifying the Alpha of each cell as a fixed constant may cause the data of the PRB utilization rate to be abnormal, which may not reflect the actual spatial capabilities of different cells, and may not reflect the changes of the actual spatial capabilities of the cell in different scenarios for the same cell.

For example, when Alpha is configured to be a larger value, since a part of cells use an ultimate capacity (spatial capacity) that cannot be reached as a denominator, the PRB utilization calculated according to the formula (1) is continuously lower, but the actual PRB utilization is already high, which results in unreasonable estimation of radio resource load of the cells, user traffic is affected, and user experience is poor. When the Alpha is configured to be a small value, the unreasonable phenomenon that the utilization rate of the PRB exceeds one hundred occurs in some cells. Therefore, at present, in order to meet the requirement that the value of the specified Alpha is required to make the utilization rate of the PRB not exceed one hundred, the space division factor Alpha needs to be set to be larger, so that data of the wireless resource utilization rate calculated by a part of cells is abnormal, and the actual load condition of the wireless resource of the cells cannot be reflected. Therefore, how to provide a method for evaluating radio resource load that can reflect the actual load situation of the radio resource of a cell in an MIMO scenario is a problem to be solved.

The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.

Where in the description of the present application, "/" indicates a relationship where the objects associated before and after are an "or", unless otherwise stated, for example, a/B may indicate a or B; in the present application, "and/or" is only an association relationship describing an associated object, and means that there may be three relationships, for example, a and/or B, and may mean: a exists alone, A and B exist simultaneously, and B exists alone, wherein A and B can be singular or plural.

In the description of the present application, "plurality" means two or more than two unless otherwise specified. "at least one of the following" or similar expressions refer to any combination of these items, including any combination of the singular or plural items. For example, at least one (one) of a, b, or c, may represent: a, b, c, a-b, a-c, b-c, or a-b-c, wherein a, b, c may be single or multiple.

In addition, in order to facilitate clear description of technical solutions of the embodiments of the present application, in the embodiments of the present application, terms such as "first" and "second" are used to distinguish the same items or similar items having substantially the same functions and actions. Those skilled in the art will appreciate that the terms "first," "second," etc. do not denote any order or quantity, nor do the terms "first," "second," etc. denote any order or importance. Also, in the embodiments of the present application, words such as "exemplary" or "for example" are used to mean serving as examples, illustrations or illustrations. Any embodiment or design described herein as "exemplary" or "e.g.," is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word "exemplary" or "such as" is intended to present relevant concepts in a concrete fashion for ease of understanding.

It should be appreciated that reference throughout this specification to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present application. Thus, the various embodiments are not necessarily referring to the same embodiment throughout the specification. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. It should be understood that, in the various embodiments of the present application, the sequence numbers of the processes do not mean the execution sequence, and the execution sequence of the processes should be determined by the functions and the inherent logic of the processes, and should not constitute any limitation to the implementation process of the embodiments of the present application.

It is to be understood that, in the present application, "when …", "if" and "if" all refer to the corresponding processing under certain objective conditions, and are not time-limited, and do not require action that necessarily requires judgment when implemented, nor do they imply that there are other limitations.

The term "simultaneously" in this application is to be understood as being at the same point in time, as well as being within a period of time, and also being within the same period.

It is understood that some optional features in the embodiments of the present application may be implemented independently without depending on other features in some scenarios, such as a currently-based solution, to solve corresponding technical problems and achieve corresponding effects, or may be combined with other features according to requirements in some scenarios. Accordingly, the apparatuses provided in the embodiments of the present application may also implement these features or functions, which are not described herein again.

In this application, the same or similar parts between the respective embodiments may be referred to each other unless otherwise specified. In the embodiments and the implementation methods/implementation methods in the embodiments in the present application, unless otherwise specified or conflicting in logic, terms and/or descriptions between different embodiments and between various implementation methods/implementation methods in various embodiments have consistency and can be mutually cited, and technical features in different embodiments and various implementation methods/implementation methods in various embodiments can be combined to form new embodiments, implementation methods, or implementation methods according to the inherent logic relationships thereof. The following embodiments of the present application do not limit the scope of the present application.

The technical solution of the embodiment of the present application may be applied to various communication systems, which may be a third generation partnership project (3 GPP) communication system, for example, a Long Term Evolution (LTE) system, a 5G mobile communication system, an NR system, a new air interface vehicle networking (NR V2X) system, a LTE and 5G hybrid networking system, or a device-to-device (D2D) communication system, a machine-to-machine (M2M) communication system, an Internet of Things (Internet of Things, IoT), and other next-generation communication systems, or a non-3 GPP communication system, without limitation.

The technical scheme of the embodiment of the application can be applied to various communication scenes, for example, one or more of the following communication scenes: enhanced mobile broadband (eMBB), ultra-reliable low latency communication (URLLC), Machine Type Communication (MTC), massive Machine Type Communication (MTC), D2D, V2X, and IoT, among other communication scenarios.

The communication system and the communication scenario applicable to the present application are only examples, and the communication system and the communication scenario applicable to the present application are not limited thereto, and are described herein in a unified manner, and will not be described again below.

Fig. 1 is a schematic view of an application scenario of a radio resource load assessment method according to an embodiment of the present application. The application scenario includes a radio resource load evaluation apparatus 10 and a plurality of terminal devices 20. Wherein the plurality of terminal devices 20 access the target cell and there is a participation of the terminal devices 20 in MU-MIMO among the plurality of terminal devices 20.

In this application scenario, after the wireless resource load evaluation device 10 obtains the sampling data of the target cell in the sampling period, the number of available layers in the airspace of the target cell in the sampling period may be determined according to the sampling data. Then, the radio resource load evaluation device 10 determines the radio resource utilization rate of the target cell in the sampling period according to the sampling data and the number of available layers of the airspace of the target cell in the sampling period; wherein the radio resource utilization of the target cell is used for evaluating the radio resource load of the target cell. The specific implementation and technical effects of the scheme will be described in detail in the following method embodiments, and are not described herein again.

Optionally, as shown in fig. 1, the application scenario may further include an acquisition device 30. The acquisition device 30 is used for acquiring the sampling data of the target cell according to the sampling period. In the embodiment of the present application, the radio resource load evaluation device 10 may be a device independent from the acquisition device 30, in which case the radio resource load evaluation device 10 may acquire the sampling data from the acquisition device 30 (fig. 1 illustrates this case as an example). Alternatively, the radio resource load evaluation device 10 may be a module/chip in the acquisition device 30. Alternatively, the radio resource load evaluation device 10 may be integrated in the same device as the acquisition device 30. Fig. 1 is a diagram for illustrating a case where the radio resource load evaluation device 10 is a device independent of the acquisition device 30.

Optionally, the collecting device 30 in the embodiment of the present application. May be a wireless network element device.

Optionally, the terminal device 20 in the embodiment of the present application may be a device for implementing a wireless communication function, such as a terminal or a chip that can be used in the terminal. A terminal may also be referred to as a User Equipment (UE), a mobile station, a mobile terminal, etc. The terminal can be a mobile phone, a tablet computer, a computer with a wireless transceiving function, a virtual reality terminal device, an augmented reality terminal device, a wireless terminal in industrial control, a wireless terminal in unmanned driving, a wireless terminal in remote operation, a wireless terminal in a smart grid, a wireless terminal in transportation safety, a wireless terminal in a smart city, a wireless terminal in a smart home and the like. The embodiment of the present application does not limit the specific technology and the specific device form adopted by the terminal device.

Optionally, the related functions of the radio resource load evaluation apparatus 10 in the embodiment of the present application may be implemented by one device, or may be implemented by multiple devices together, or may be implemented by one or more functional modules in one device, which is not specifically limited in this embodiment of the present application. It is understood that the above functions may be network elements in a hardware device, or software functions running on dedicated hardware, or a combination of hardware and software, or virtualization functions instantiated on a platform (e.g., a cloud platform).

The radio resource load evaluation method provided by the embodiment of the present application will be described below with reference to fig. 1. As shown in fig. 2, a flowchart of a radio resource load evaluation method provided in the embodiment of the present application is shown, and the radio resource load evaluation method may be applied to the application scenario shown in fig. 1. Specifically, the method for evaluating radio resource load includes the following steps:

s201, the wireless resource load evaluation device obtains sampling data of a target cell in a sampling period.

S202, the wireless resource load evaluation device determines the number of available airspace layers of the target cell in the sampling period according to the sampling data.

S203, the wireless resource load evaluation device determines the wireless resource utilization rate of the target cell in the sampling period according to the sampling data and the number of available airspace layers of the target cell in the sampling period; wherein the radio resource utilization of the target cell is used for evaluating the radio resource load of the target cell.

For S201, in this embodiment of the present application, the radio resource load assessment apparatus may use a fixed time period as a sampling period, acquire sampling data of a target cell corresponding to each sampling time in the sampling period, and assess a radio resource load of the cell according to the acquired sampling data.

For example, the sampling period in this embodiment may be 15 minutes, but this is not limited in this embodiment.

Optionally, in this embodiment of the application, the sampling data may be Performance Management (PM) data that is acquired by the acquisition device according to a sampling period and stored in an Operation Support System (OSS) of the target cell, or may be referred to as O domain PM data that is acquired by the acquisition device according to the sampling period. In other words, the radio resource load evaluation device acquires PM data of the target cell in the sampling period from the OSS as sampling data.

For example, in this embodiment of the present application, the acquisition device may be an Operation and Maintenance Center (OMC) network element.

For S202, in a possible implementation manner, the radio resource load evaluating device may determine the number of spatial domain available layers of the target cell according to a preconfigured first calculation rule and the obtained sampling data.

To facilitate understanding of how to determine the number of spatial domain available layers of the target cell in the solution of the present application, the following describes how to determine the number of spatial domain available layers of the target cell by using the frequency domain average time domain maximum scheduling layer number, and a manner of determining the number of spatial domain available layers of the target cell (or determining the frequency domain average time domain maximum scheduling layer number) is described. It should be noted that, in the embodiment of the present application, the frequency-domain average time-domain maximum scheduling layer number is only an exemplary name of a parameter used to characterize the available number of spatial layers of the target cell, and may also be other names in a specific implementation, which is not limited in this embodiment of the present application.

In the embodiment of the present application, the first calculation rule may satisfy the following formula (2):

LM(T)＝MAX_j(L_avg,j) Formula (2)

In the above formula (2), lm (T) represents the frequency domain average time domain maximum scheduling layer number of the target cell (the number of available spatial layers of the target cell) within the sampling period T; l is_avg,jAnd the average scheduling layer number of the service channel of the target cell corresponding to the sampling time j in the sampling period T is shown. Wherein L is_avg,jMay be determined by the radio resource load evaluating means based on the sampled data.

To avoid ambiguity, the meaning of some operators in equation (2) is explained as follows: MAX denotes taking the maximum value, exemplary, MAX_j(L_avg,j) Represents L corresponding to each sampling time j_avg,jIn, take the largest value of L_avg,j. The description is not repeated herein.

It is understood that the meaning of the above formula (2) is: and determining the average scheduling layer number of the service channels of the target cell corresponding to each sampling time in the sampling period T, and taking the average scheduling layer number of the service channels of the target cell with the largest numerical value in the average scheduling layer numbers of the service channels of the target cell corresponding to all the sampling times as the maximum scheduling layer number of the frequency domain average time domain of the target cell, so as to represent the available layer number of the airspace of the target cell by the determined maximum scheduling layer number of the frequency domain average time domain.

In a possible implementation manner, the radio resource load evaluation device may determine, according to the acquired sampling data and a preconfigured second calculation rule, an average scheduling layer number of a traffic channel of the target cell corresponding to the sampling time j in the sampling period T.

Wherein the second calculation rule satisfies the following formula (3):

in the above formula (3), L_avg,jThe average scheduling layer number of the service channel of the target cell corresponding to the sampling time j in the sampling period T is represented; m1_i,j(T) represents the number of PRBs occupied by a terminal device i (the terminal device i is a terminal device accessing a target cell) corresponding to the sampling time j in the sampling period T; l is_i,j(T) represents the number of spatial layers occupied by the PRB scheduled by the terminal device i corresponding to the sampling time j in the sampling period T (or the number of spatial layers of the PRB scheduled by the terminal device i corresponding to the sampling time j); PRB_jAnd the number of PRBs occupied by the service channel of the target cell corresponding to the sampling time j in the sampling period T is represented. Wherein PRB_jThe number of PRBs actually occupied by all terminal devices accessing the target cell in the frequency domain corresponding to the sampling time j in the sampling period T can also be understood.

Among the parameters of the above formula (3), M1_i,j(T)，L_i,j(T) and PRB_jMay be determined by the acquired sample data. In other words, the target cell may be sampled within a sampling period T to determine M1_i,j(T)，L_i,j(T) and PRB_jThe numerical value of (c).

The operation sign in the formula (4) may refer to the above description of the formula (1), and is not described herein again. Σ in the above formula (3)_iCan also be replaced by

Both represent summing all i.

As can be seen from the above description, in the embodiment of the present application, the frequency domain average time domain maximum scheduling layer number of the target cell in the sampling period is a maximum value of the frequency domain average time domain maximum scheduling layer number of the target cell in the sampling period, and it can be understood that the maximum value may represent a maximum spatial layer number that can be scheduled by the target cell in the sampling period, and therefore, the frequency domain average time domain maximum scheduling layer number of the target cell may be used to represent an actual spatial domain (space) available layer number of the target cell in the sampling period, or an actual spatial capability of the target cell. Moreover, because the maximum number of frequency-domain average time-domain scheduling layers of the target cell is determined according to the sampling data corresponding to the sampling period and the predefined calculation rule, if the situation of the target cell changes, the maximum number of frequency-domain average time-domain scheduling layers of the target cell can also automatically and correspondingly change along with the change of the cell space capacity. Therefore, in the scheme, the frequency domain average time domain maximum scheduling layer number of the target cell can represent the actual available layer number of the airspace of the target cell in real time, so that the wireless resource utilization rate of the target cell can be calculated as a dynamic space division factor, and the value of Alpha does not need to be frequently configured like the conventional scheme. On the other hand, the frequency domain average time domain maximum scheduling layer number is used as a space division factor to determine the radio resource utilization rate of the cell, so that the situation that the radio resource utilization rate exceeds a hundred can be avoided, and specific reasons are introduced below.

For S203, in a possible implementation manner, after the radio resource load evaluating device determines the maximum number of frequency-domain average time-domain scheduling layers of the target cell in the sampling period, the radio resource utilization rate of the target cell in the sampling period may be determined according to the preconfigured third calculation rule, the sampling data, and the maximum number of frequency-domain average time-domain scheduling layers of the target cell in the sampling period. The radio resource load evaluation device may evaluate the radio resource load condition of the target cell according to the radio resource utilization rate of the target cell.

In the embodiment of the present application, the third calculation rule may satisfy the following formula (4):

in the above formula (4), m (T) represents the utilization rate of the radio resource of the target cell (or the traffic channel of the cell) in the sampling period T; m1_i,j(T) represents the number of PRBs occupied by the terminal device i corresponding to the sampling time j in the sampling period T (the terminal device i is a terminal device accessed to the target cell); l is_ij(T) represents the number of space layers occupied by the PRB scheduled by the terminal device i corresponding to the sampling time j in the sampling period T (or the number of space division layers of the PRB scheduled by the terminal device i at the sampling time j); n (T) represents the number of sampling instants within the sampling period T; p (T) represents the number of available PRBs of each layer (spatial layer) traffic channel of the target cell at each sampling time in the sampling period T; lm (T) represents the frequency domain average time domain maximum number of scheduling layers of the cell within the sampling period T.

Among the parameters of the above formula (4), M1_i,j(T)，L_i,j(T), n (T) may be determined by the acquired sample data. In other words, the target cell may be sampled within a sampling period T to determine M1_i,j(T)，L_i,j(T) and the numerical values of N (T). P (t) is a preconfigured constant related to frequency domain bandwidth, illustratively, p (t) is configured to 273.

The operation sign in the formula (4) may refer to the above description of the formula (1), and is not described herein again.

By reference to the above description, it will be appreciated that

It can be understood as the wireless resources occupied by the cell in three dimensions of time domain, frequency domain and space domain in the sampling period T. N (T) P (T) LM (T) may be understood as the fraction of the sampling period T within which the sample is takenThe region is the actual available wireless resource in three dimensions of time domain, frequency domain and space domain. Therefore, the radio resource utilization rate of the target cell in the sampling period can be determined by the above formula (4), so as to estimate the radio resource load of the target cell.

In addition, in the embodiment of the application, the frequency domain average time domain maximum scheduling layer number lm (t) is used as a space division factor, so that the situation that the calculated wireless resource utilization rate exceeds one hundred can be avoided.

The specific derivation process is as follows:

according to LM (T) ═ MAX_j(L_avg,j) The following formula (4) can be obtained:

according to

The following can be obtained:

observation of

PRB according to the introduction above_jThe meanings of j, N (T) and P (T) are given

Thus, it is possible to provide

Further obtain

Because of the above formula (4)

And the above derivationProcess derivation

It can be deduced that M (T). ltoreq.1 is calculated according to the above formula (4).

Therefore, the frequency domain average time domain maximum scheduling layer number is used as a space division factor to calculate the wireless resource utilization rate of the target cell, and the unreasonable situation that the calculated wireless resource utilization rate of the target cell exceeds hundreds can be avoided.

The scheme provided by the embodiment of the application can be applied to calculating the uplink wireless resource utilization rate of the target cell or the downlink wireless resource utilization rate of the target cell, and can also be synchronously applied to calculating the uplink wireless resource utilization rate of the target cell and the downlink wireless resource utilization rate of the target cell.

In the embodiment of the present application, among the parameters related to the traffic channel included in the second calculation rule and the third calculation rule, for the case of calculating the uplink radio resource utilization rate of the target cell, the traffic channel refers to a Physical Uplink Shared Channel (PUSCH) channel. For the case of calculating the downlink radio resource utilization of a cell, a traffic channel refers to a Physical Downlink Shared Channel (PDSCH) channel. For example, for the case of calculating the uplink radio resource utilization of the target cell, the PRB_jAnd the number of PRBs occupied by the PUSCH of the target cell corresponding to the sampling time j in the sampling period T is shown.

For convenience of understanding, the radio resource load assessment method provided in the embodiments of the present application is described below with a specific example.

Assuming that the target cell is a cell a, the sampling period T includes 3 sampling times, and after the wireless resource load evaluation device acquires the sampling data of the cell a within the sampling period T, it may be determined that the resource occupation condition of the PDSCH channel of the cell a corresponding to each sampling time is as follows:

at the 1 st sampling moment, there are 5 terminal devices: the UE1, the UE2, the UE3, the UE4 and the UE5 access the cell a, and the resource occupation of the PDSCH channel of the cell a is shown in fig. 3. The UE1 occupies 10 PRBs in the frequency domain, a space scheduling PRB1 layer, 30 PRBs in the UE2 frequency domain, a space scheduling PRB2 layer, 30 PRBs in the UE3 frequency domain, a space scheduling PRB3 layer, 100 PRBs in the UE4 frequency domain, a space scheduling PRB3 layer, 100 PRBs in the UE5 frequency domain, and a space scheduling PRB2 layer. Wherein, the UE1, the UE2, and the UE3 are SU-MIMO, and schedule different PRBs belonging to the UE in the frequency domain, respectively, as shown in fig. 3, the PRB spatial layers scheduled by the UE1, the UE2, and the UE3 are separated in the frequency domain and belong to different PRBs. The UE4 and the UE5 participate in MU-MIMO and jointly schedule 100 PRBs in the frequency domain, as shown in fig. 3, the PRBs respectively scheduled by the UE4 and the UE5 coincide in position in the frequency domain and belong to the same PRB. Therefore, the number of PRBs actually occupied by all UEs in the frequency domain is: 170 pieces of 10+30+30+100, namely the 1 stPRB corresponding to sample time_j＝170。

At the 2 nd sampling moment, there are 4 terminal devices: the UE1, the UE2, the UE3 and the UE4 access the cell a, and the resource occupation of the PDSCH channel of the cell a is shown in fig. 4. The UE1 occupies 60 PRBs in the frequency domain, occupies 1 layers of space scheduling PRBs, occupies 70 PRBs in the UE2 frequency domain, occupies 90 PRBs in the space scheduling PRB3 layers of UE3 frequency domain, occupies 90 PRBs in the space scheduling PRB4 layers of UE4 frequency domain, and occupies 90 PRBs in the space scheduling PRB2 layers of UE4 frequency domain. Wherein, both UE1 and UE2 are SU-MIMO, and schedule different PRBs belonging to themselves in the frequency domain, respectively, as shown in fig. 4, the PRB spatial layers scheduled by UE1 and UE2, respectively, are separated in the frequency domain and belong to different PRBs. The UE3 and the UE4 participate in MU-MIMO and jointly schedule 90 PRBs in the frequency domain, as shown in fig. 4, the PRBs respectively scheduled by the UE3 and the UE4 coincide in position in the frequency domain and belong to the same PRB. Therefore, the number of PRBs actually occupied by all UEs in the frequency domain is: 220 PRBs corresponding to 60+70+90, i.e. the 2 nd sampling time_j＝220。

At the 3rd sampling moment, there are 5 terminal devices: the UE1, the UE2, the UE3, the UE4 and the UE5 access the cell a, and the resource occupation of the PDSCH channel of the cell a is shown in fig. 5. The UE1 occupies 20 PRBs in the frequency domain, the space scheduling PRB1 layer, the UE2 occupies 30 PRBs in the frequency domain, the space scheduling PRB2 layer, the UE3 occupies 100 PRBs in the frequency domain, the space scheduling PRB2 layer, the UE4 frequency domain occupies 100 PRBs, the space scheduling PRB2 layer, the UE5 frequency domain occupies 100 PRBs, the space scheduling PRB4 layer. Wherein, both UE1 and UE2 are SU-MIMO, and schedule different PRBs belonging to themselves in the frequency domain, respectively, as shown in fig. 5, the PRB spatial layers scheduled by UE1 and UE2, respectively, are separated in the frequency domain and belong to different PRBs. The UE3, the UE4, and the UE5 participate in MU-MIMO and jointly schedule 100 PRBs in the frequency domain, as shown in fig. 5, the PRBs respectively scheduled by the UE3, the UE4, and the UE5 overlap in position in the frequency domain and belong to the same PRB. Therefore, the number of PRBs actually occupied by all UEs in the frequency domain is: 150 PRBs corresponding to 20+30+100, that is, the 3rd sampling time_j＝150。

After the radio resource load evaluation device obtains the sampling data corresponding to each sampling time, the radio resource utilization rate of the cell a can be determined according to the sampling data, the first calculation rule and the second calculation rule. The specific process is as follows:

from the above equation (3), the radio resource shared by the cell a corresponding to the 1 st sampling time in the three dimensions of the time domain, the frequency domain and the space domain is 10 × 1+30 × 2+30 × 3+100 × 3+100 × 2, or 660. I.e. sigma corresponding to the 1 st sampling instant_iM1_i,j(T)*L_i,j(T)＝660。

According to the above formula (3), the radio resource shared by the cell a corresponding to the 2 nd sampling time in the three dimensions of the time domain, the frequency domain and the space domain is 60 × 1+70 × 3+90 × 4+90 × 2, or 810. I.e. sigma corresponding to the 2 nd sampling instant_iM1_i,j(T)*L_i,j(T)＝810。

According to the above formula (3), the radio resource shared by the cell a corresponding to the 3rd sampling time in the three dimensions of the time domain, the frequency domain and the space domain is 20 × 1+30 × 2+100 × 2+100 × 4, which is 880. I.e. sigma corresponding to the 3rd sampling instant_iM1_i,j(T)*L_i,j(T)＝880。

Therefore, according to the above equation (4), the radio resource occupied by the cell a in the three dimensions of the time domain, the frequency domain and the space domain by the cell a in the sampling period T is 660+810+880, 2350. I.e. corresponding to the sampling period T

According to the above formula (3), the number of traffic channel average scheduling layers of the cell a corresponding to the 1 st sampling time is 660/170-3.88. I.e. L for the 1 st sampling instant_avg,j＝3.88。

According to the above formula (3), the average number of the traffic channel scheduling layers of the cell a corresponding to the 2 nd sampling time is 810/220-3.68. I.e. L for the 2 nd sampling instant_avg,j＝3.68。

According to the above formula (3), the number of traffic channel average scheduling layers of the cell a corresponding to the 3rd sampling time is 880/150-5.87. I.e. L for the 3rd sampling instant_avg,j＝5.87。

After acquiring the average scheduling layer number of the traffic channel of the cell a corresponding to each sampling time, the radio resource load evaluation apparatus determines that the frequency domain average time domain maximum scheduling layer number of the cell a is MAX (3.88,3.68,5.87) is 5.87 according to the above formula (2). Namely, lm (t) 5.87.

Assuming that p (T) of the configuration is 273, according to the above equation (4), available radio resources common to cell a in three dimensions of time, frequency, domain and space within the sampling period T are 273 × 5.87 × 3 and 4807.53. N (t) p (t) lm (t) 4807.53.

The radio resource load assessment device obtains the radio resources occupied by the cell a in the three dimensions of the time domain, the frequency domain and the space domain together in the sampling period T, and obtains the radio resource utilization rate of the cell a in the sampling period T, 2350/4807.53 × 100%: 48.88% according to the above formula (4) after the available radio resources shared by the cell a in the three dimensions of the time domain, the frequency domain and the space domain together in the sampling period T.

The above-mentioned scheme provided by the embodiments of the present application is introduced mainly from the perspective of the radio resource load evaluation apparatus executing the radio resource load evaluation method. In order to realize the above functions, the radio resource load evaluation apparatus includes a hardware structure and/or a software module corresponding to each function. 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 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.

In the embodiment of the present application, the wireless resource load assessment apparatus may be divided into functional modules according to the above method examples, for example, each functional module may be divided according 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. Optionally, the division of the modules in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation. Further, a "module" herein may refer to a specific application-specific integrated circuit (ASIC), a circuit, a processor and memory that execute one or more software or firmware programs, an integrated logic circuit, and/or other devices that may provide the described functionality.

In the case of functional block division, fig. 6 shows a schematic structural diagram of a radio resource load evaluation apparatus 60. As shown in fig. 6, the radio resource load evaluation apparatus 60 includes a communication module 601 and a processing module 602.

In some embodiments, the radio resource load assessment apparatus 60 may also include a memory module (not shown in fig. 6) for storing program instructions and data.

The communication module 601 is configured to obtain sampling data of a target cell in a sampling period; the processing module 602 is configured to determine, according to the sampling data, the number of available layers in the airspace of the target cell in the sampling period; the processing module 602 is further configured to determine a radio resource utilization rate of the target cell in the sampling period according to the sampling data and the number of available spatial layers of the target cell in the sampling period; wherein the radio resource utilization of the target cell is used for evaluating the radio resource load of the target cell.

As a possible implementation, the processing module 602 is configured to determine, according to the sampling data, the number of spatial layers available in the target cell in the sampling period, and includes: the processing module is used for determining the average scheduling layer number of the service channel of the target cell corresponding to the sampling time j in the sampling period T according to the sampling data; determining the number of available layers of the airspace of the target cell in the sampling period according to the average scheduling layer number of the service channel of the target cell corresponding to the sampling time j and a first calculation rule, wherein the first calculation rule meets the following relation: lm (t) ═ MAX_j(L_avg,j) (ii) a Wherein, lm (T) represents the number of available layers in the airspace of the target cell within the sampling period T; l is_avg,jThe average scheduling layer number of the service channel of the target cell corresponding to the sampling time j in the sampling period T is represented;

MAX_j(L_avg,j) Represents L corresponding to each sampling time j_avg,jIn, take the largest value of L_avg,j。

As one possible implementation, sampling data includes: m1_i,j(T)，L_i,j(T) and PRB_j，M1_i,j(T) represents the number of physical resource blocks PRB occupied by a terminal device i accessed to a target cell corresponding to a sampling moment j in a sampling period T; l is_i,j(T) represents the number of space layers occupied by PRB scheduled by the terminal equipment i corresponding to the sampling time j in the sampling period T; PRB_jRepresenting the number of PRBs occupied by the service channel of the target cell corresponding to the sampling time j in the sampling period T; the processing module 602 is configured to determine, according to the sampling data, an average scheduling layer number of a traffic channel of the target cell corresponding to the sampling time j in the sampling period T, and includes: a processing module 602, configured to determine, according to the sampling data and a second calculation rule, an average scheduling layer number of a traffic channel of the target cell corresponding to the sampling time j in the sampling period T, where the second calculation rule satisfies the following relationship:

As one possible implementation, sampling data includes: m1_i,j(T)，L_i,j(T), N (T) and P (T), M1_i,j(T) represents the number of physical resource blocks PRB occupied by a terminal device i accessed to a target cell corresponding to a sampling moment j in a sampling period T; l is_i,j(T) represents the number of space layers occupied by PRB scheduled by the terminal equipment i corresponding to the sampling time j in the sampling period T; n (T) represents the number of sampling instants within the sampling period T; p (T) represents the number of available PRBs of each layer of traffic channel of the target cell at each sampling moment in a sampling period T; the processing module 602 is configured to determine a radio resource utilization rate of a target cell in a sampling period according to the sampling data and the number of available spatial layers of the target cell in the sampling period, and includes:a processing module 602, configured to determine a radio resource utilization rate of a target cell in a sampling period according to the sampling data, the number of available spatial layers of the target cell in the sampling period, and a third calculation rule, where the third calculation rule satisfies the following relationship:

represents summing all i;

indicating summing all j.

As a possible implementation, the radio resource utilization rate of the target cell is an uplink radio resource utilization rate of the target cell or a downlink radio resource utilization rate of the target cell; under the condition that the utilization rate of the wireless resources of the target cell is the utilization rate of the uplink wireless resources of the target cell, the service channel is a Physical Uplink Shared Channel (PUSCH); and under the condition that the wireless resource utilization rate of the target cell is the downlink wireless resource utilization rate of the target cell, the service channel is a Physical Downlink Shared Channel (PDSCH) channel.

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 are not described herein again.

In the case of implementing the functions of the above functional modules in the form of hardware, fig. 7 shows a schematic structural diagram of another radio resource load evaluation apparatus 70. As shown in fig. 7, the apparatus for evaluating radio resource load includes a processor 701, a memory 702, and a bus 703. The processor 701 and the memory 702 may be connected by a bus 703.

The processor 701 is a control center of the radio resource load evaluation apparatus 70, and may be a single processor or a collective term for a plurality of processing elements. For example, the processor 701 may be a Central Processing Unit (CPU), other general-purpose processors, or the like. Wherein a general purpose processor may be a microprocessor or any conventional processor or the like.

For one embodiment, processor 701 may include one or more CPUs, such as CPU 0 and CPU 1 shown in FIG. 7.

The memory 702 may be, but is not limited to, a read-only memory (ROM) or other type of static storage device that may store static information and instructions, a Random Access Memory (RAM) or other type of dynamic storage device that may store information and instructions, an electrically erasable programmable read-only memory (EEPROM), a magnetic disk storage medium or other magnetic storage device, 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.

As a possible implementation, the memory 702 may be present separately from the processor 701, and the memory 702 may be connected to the processor 701 via the bus 703 for storing instructions or program code. The one-time id using method provided by the embodiment of the present invention can be implemented when the processor 701 calls and executes the instructions or program codes stored in the memory 702.

In another possible implementation, the memory 702 may also be integrated with the processor 701.

The bus 703 may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) 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. 7, but this is not intended to represent only one bus or type of bus.

It should be noted that the configuration shown in fig. 7 does not constitute a limitation of the radio resource load evaluation device 70. The radio resource load evaluation device 70 may include more or fewer components than those shown in fig. 7, or some components may be combined, or a different arrangement of components than those shown.

As an example, in conjunction with fig. 6, the communication module 601 and the processing module 602 in the radio resource load evaluation device 60 implement the same functions as those of the processor 701 in fig. 7.

Optionally, as shown in fig. 7, the radio resource load assessment apparatus 70 provided in this embodiment of the present application may further include a communication interface 704.

A communication interface 704 for connecting with other devices through a communication network. The communication network may be an ethernet network, a radio access network, a Wireless Local Area Network (WLAN), etc. The communication interface 704 may include a receiving unit for receiving data, and a transmitting unit for transmitting data.

In a possible implementation manner, in the radio resource load assessment apparatus 70 provided in this embodiment of the present application, the communication interface 704 may also be integrated in the processor 701, which is not specifically limited in this embodiment of the present application.

As one possible product form, the radio resource load evaluation apparatus according to the embodiment of the present application may be implemented using: one or more Field Programmable Gate Arrays (FPGAs), Programmable Logic Devices (PLDs), controllers, state machines, gate logic, discrete hardware components, any other suitable circuitry, or any combination of circuitry capable of performing the various functions described throughout this application.

Through the above description of the embodiments, it is clear for a person skilled in the art that, for convenience and simplicity of description, only the division of the above functional units is illustrated. In practical applications, the above function allocation can be performed by different functional units according to needs, that is, the internal structure of the device is divided into different functional units to perform all or part of the above described functions. For the specific working processes of the system, the apparatus and the unit described above, reference may be made to the corresponding processes in the foregoing method embodiments, and details are not described here again.

An embodiment of the present invention further provides a computer-readable storage medium, where instructions are stored in the computer-readable storage medium, and when the instructions are executed by a computer, the computer executes each step in the method flow shown in the foregoing method embodiment.

Embodiments of the present invention provide a computer program product comprising instructions which, when executed on a computer, cause the computer to perform the steps of the method flow illustrated in the above-described method embodiments.

The computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, and a hard disk. Random Access Memory (RAM), Read-Only Memory (ROM), Erasable Programmable Read-Only Memory (EPROM), registers, a hard disk, an optical fiber, a portable Compact disk Read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any other form of computer-readable storage medium, in any suitable combination, or as appropriate in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be integral to the processor. The processor and the storage medium may reside in an application specific ASIC. In embodiments of the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.

Since the radio resource load assessment apparatus, the computer-readable storage medium, and the computer program product provided in this embodiment may be applied to the radio resource load assessment method provided in this embodiment, the technical effects obtained by the method may also refer to the above method embodiment, and the embodiments of the present invention are not described herein again.

While the present application has been described in connection with various embodiments, other variations to the disclosed embodiments can be understood and effected by those skilled in the art in practicing the claimed application, from a review of the drawings, the disclosure, and the appended claims. In the claims, the word "comprising" does not exclude other elements or steps, and the word "a" or "an" does not exclude a plurality. A single processor or other unit may fulfill the functions of several items recited in the claims. The mere fact that certain measures are recited in mutually different dependent claims does not indicate that a combination of these measures cannot be used to advantage.

Although the present application has been described in conjunction with specific features and embodiments thereof, it will be evident that various modifications and combinations can be made thereto without departing from the spirit and scope of the application. Accordingly, the specification and figures are merely exemplary of the present application as defined in the appended claims and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of the present application. It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.

Claims

1. A method for radio resource load assessment, the method comprising:

acquiring sampling data of a target cell in a sampling period;

determining the number of available airspace layers of the target cell in the sampling period according to the sampling data;

determining the wireless resource utilization rate of the target cell in the sampling period according to the sampling data and the number of available airspace layers of the target cell in the sampling period; wherein the radio resource utilization of the target cell is used for evaluating the radio resource load of the target cell.

2. The method of claim 1, wherein determining the number of spatial layers available for the target cell in the sampling period based on the sampled data comprises:

determining the average scheduling layer number of the service channel of the target cell corresponding to the sampling time j in the sampling period T according to the sampling data;

determining the number of spatial domain available layers of the target cell in the sampling period according to the average scheduling layer number of the traffic channel of the target cell corresponding to the sampling time j and a first calculation rule, wherein the first calculation rule satisfies the following relation:

LM(T)＝MAX_j(L_avg，j)；

wherein, lm (T) represents the number of spatial layers available for the target cell within the sampling period T; l is_avg，jIndicating the average scheduling layer number of the service channel of the target cell corresponding to the sampling time j in the sampling period T; MAX_j(L_avg，j) Represents L corresponding to each sampling time j_avg，jIn, take the largest value of L_avg，j。

3. The method of claim 2, wherein sampling the data comprises: m1_i，j(T)，L_i，j(T) and PRB_j，M1_i，j(T) represents the number of Physical Resource Blocks (PRB) occupied by a terminal device i accessed to the target cell corresponding to the sampling time j in the sampling period T; l is_i，j(T) represents the number of spatial layers occupied by the PRB scheduled by the terminal device i corresponding to the sampling time j within the sampling period T; PRB_jRepresenting the number of PRBs occupied by the service channel of the target cell corresponding to the sampling time j in the sampling period T; determining the average scheduling layer number of the traffic channel of the target cell corresponding to the sampling time j in the sampling period T according to the sampling data, including:

determining the average scheduling layer number of the traffic channel of the target cell corresponding to the sampling time j in the sampling period T according to the sampling data and a second calculation rule, wherein the second calculation rule satisfies the following relationship:

wherein L is_avg，jRepresenting the average scheduling layer number, sigma of the service channel of the target cell corresponding to the sampling time j in the sampling period T_iIndicating summing all i.

4. The method of claim 2 or 3, wherein sampling the data comprises: m1_i，j(T)，L_i，j(T), N (T) and P (T), M1_i，j(T) represents the number of Physical Resource Blocks (PRB) occupied by a terminal device i accessed to the target cell corresponding to the sampling time j in the sampling period T; l is_i，j(T) represents the number of spatial layers occupied by the PRB scheduled by the terminal device i corresponding to the sampling time j within the sampling period T; n (T) represents the number of sampling instants within said sampling period T; p (T) represents the number of available PRBs of each layer of traffic channel of the target cell at each sampling time in the sampling period T; determining the radio resource utilization rate of the target cell in the sampling period according to the sampling data and the number of available airspace layers of the target cell in the sampling period, including:

determining the radio resource utilization rate of the target cell in the sampling period according to the sampling data, the number of available airspace layers of the target cell in the sampling period and a third calculation rule, wherein the third calculation rule satisfies the following relation:

wherein M is_E(T) represents the radio resource utilization of the target cell within the sampling period TThe ratio of the total weight of the particles,

represents summing all i;

indicating summing all j.

5. The method according to claim 2 or 3, wherein the radio resource utilization of the target cell is an uplink radio resource utilization of the target cell or a downlink radio resource utilization of the target cell;

under the condition that the wireless resource utilization rate of the target cell is the uplink wireless resource utilization rate of the target cell, the service channel is a Physical Uplink Shared Channel (PUSCH);

and under the condition that the wireless resource utilization rate of the target cell is the downlink wireless resource utilization rate of the target cell, the service channel is a Physical Downlink Shared Channel (PDSCH) channel.

6. A radio resource load evaluation apparatus, characterized in that the radio resource load evaluation apparatus comprises: a communication module and a processing module;

the communication module is used for acquiring sampling data of a target cell in a sampling period;

the processing module is used for determining the number of available airspace layers of the target cell in the sampling period according to the sampling data;

the processing module is further configured to determine a radio resource utilization rate of the target cell in the sampling period according to the sampling data and the number of available spatial layers of the target cell in the sampling period; wherein the radio resource utilization of the target cell is used for evaluating the radio resource load of the target cell.

7. The apparatus of claim 6, wherein the processing module is configured to determine the number of spatial layers available in the target cell in the sampling period according to the sampling data, and comprises:

the processing module is configured to determine, according to the sampling data, an average scheduling layer number of a traffic channel of the target cell corresponding to a sampling time j in the sampling period T; determining the number of spatial domain available layers of the target cell in the sampling period according to the average scheduling layer number of the traffic channel of the target cell corresponding to the sampling time j and a first calculation rule, wherein the first calculation rule satisfies the following relation:

LM(T)＝MAX_j(L_avg，j)；

8. The radio resource load evaluation device according to claim 7, wherein the sampling data comprises: m1_i，j(T)，L_i，j(T) and PRB_j，M1_i，j(T) represents the number of Physical Resource Blocks (PRB) occupied by a terminal device i accessed to the target cell corresponding to the sampling time j in the sampling period T; l is_i，j(T) represents the number of spatial layers occupied by the PRB scheduled by the terminal device i corresponding to the sampling time j within the sampling period T; PRB_jRepresenting the number of PRBs occupied by the service channel of the target cell corresponding to the sampling time j in the sampling period T; the processing module is configured to determine, according to the sampling data, an average number of scheduling layers of a traffic channel of the target cell corresponding to a sampling time j in the sampling period T, and includes:

the processing module is configured to determine, according to the sampling data and a second calculation rule, an average scheduling layer number of a traffic channel of the target cell corresponding to the sampling time j in the sampling period T, where the second calculation rule satisfies a relationship:

9. The radio resource load evaluation device according to claim 7 or 8, wherein the sampling data comprises: m1_i，j(T)，L_i，j(T), N (T) and P (T), M1_i，j(T) represents the number of Physical Resource Blocks (PRB) occupied by a terminal device i accessed to the target cell corresponding to the sampling time j in the sampling period T; l is_i，j(T) represents the number of spatial layers occupied by the PRB scheduled by the terminal device i corresponding to the sampling time j within the sampling period T; n (T) represents the number of sampling instants within said sampling period T; p (T) represents the number of available PRBs of each layer of traffic channel of the target cell at each sampling time in the sampling period T; the processing module is configured to determine a radio resource utilization rate of the target cell in the sampling period according to the sampling data and the number of available spatial layers of the target cell in the sampling period, and includes:

the processing module is configured to determine a radio resource utilization rate of the target cell in the sampling period according to the sampling data, the number of available spatial layers of the target cell in the sampling period, and a third calculation rule, where the third calculation rule satisfies the following relationship:

represents summing all i;

indicating summing all j.

10. The apparatus according to claim 7 or 8, wherein the radio resource utilization ratio of the target cell is an uplink radio resource utilization ratio of the target cell or a downlink radio resource utilization ratio of the target cell;

11. A radio resource load evaluation apparatus, characterized in that the radio resource load evaluation apparatus comprises: a processor;

the processor is configured to read computer-executable instructions in the memory and execute the computer-executable instructions to cause the radio resource load assessment apparatus to perform the method of any of claims 1-5.

12. A computer-readable storage medium, in which a computer program or instructions are stored, which, when executed by a radio resource load assessment apparatus, carry out the method according to any one of claims 1-5.