CN110708708A - Wireless resource optimization method and device - Google Patents

Abstract

The application discloses a wireless resource optimization method and device, relates to the field of 5G communication, and is used for optimizing the performance of network slices in a 5G network. The method comprises the following steps: the element management system EMS sends a first preset request to the central unit CU, so that the CU sends the network parameters of the user equipment UE within the management range to the EMS after receiving the first preset request. And the network parameter is used for reflecting the network performance of the UE in the working process. And the EMS determines whether the operation parameter of the network slice to which the UE belongs reaches a preset index or not according to the received network parameter of the UE. And if the operation parameters do not reach the preset indexes, the EMS generates an optimization instruction and sends the optimization instruction to the CU. The optimization instructions are used for optimizing the performance of the network slice to which the UE belongs. According to the embodiment of the application, the resource allocation of the network slice can be adjusted in real time according to the network state information of the UE.

Description

Method and device for optimizing radio resources

technical field

The present invention relates to the field of communications, and in particular, to a method and device for optimizing radio resources based on network slicing.

Background technique

In the future, the business of 5G technology will present multi-scenario and differentiated features. For example, mobile Internet services focus on bandwidth, autonomous driving services require low latency and high reliability, and IoT services need to support a huge number of connections. In this regard, the 5G wireless access network and core network have been functionally reconstructed, the physical deployment location of the equipment processing unit is changed according to the type of service, and independent end-to-end end-to-end services are constructed on the same physical network through network slicing. logical network.

Different network slices use different network deployments to achieve different performances. For a RAN (radio access network, radio access network), its own resources are allocated to different network slices. Most of the existing technical solutions allocate RAN time-frequency resources to different services by means of fixed or shared resources. This method of pre-allocation of RAN resources is difficult to achieve in the face of changes in service requirements. Real-time optimization of slice network resource allocation.

SUMMARY OF THE INVENTION

Embodiments of the present application provide a radio resource optimization method and apparatus for optimizing the performance of network slicing.

To achieve the above object, the embodiments of the present application adopt the following technical solutions:

In a first aspect, a radio resource optimization method is provided, and the method includes:

The network element management system EMS sends the first preset request to the centralized unit CU, so that after receiving the first preset request, the CU sends the network parameters of the user equipment UE within the management range to the EMS; the network parameters are used to reflect the UE The network performance in the working process; the EMS determines whether the operating parameters of the network slice to which the UE belongs meet the preset indicators according to the network parameters received by the UE; if the operating parameters do not reach the preset indicators, the EMS generates an optimization instruction and sends it to the CU ; The optimization instruction is used to optimize the performance of the network slice to which the UE belongs.

In a second aspect, a radio resource optimization method is provided, and the method includes:

The centralized unit CU receives the first preset request sent by the network element management system EMS; after receiving the first preset request, the CU obtains the network parameters of the user equipment UE within the management range; the CU sends the obtained network parameters of the UE to EMS; so that the EMS determines, according to the received network parameters of the UE, whether the operating parameters of the network slice to which the UE belongs reaches the preset index; if the running parameters do not reach the preset index, the EMS generates an optimization instruction and sends it to the CU; the CU receives the The optimization instruction sent by the EMS optimizes the performance of the network slice to which the UE belongs according to the optimization instruction.

In a third aspect, an EMS server is provided, the device includes: a sending unit, a receiving unit, a determining unit, and a generating unit; and a sending unit, configured to send a first preset request to a centralized unit CU, so that the CU receives the first preset request. After a preset request, the network parameters of the user equipment UE within the management range are sent to the EMS server; the network parameters are used to reflect the network performance of the UE in the working process; the receiving unit is used to receive the network parameters of the UE sent by the CU; The determining unit is configured to determine whether the operating parameters of the network slice to which the UE belongs has reached the preset target according to the received network parameters of the UE; the generating unit is configured to generate and send an optimization instruction when the operating parameters do not reach the preset target CU; the optimization instruction is used to optimize the performance of the network slice to which the UE belongs.

In a fourth aspect, a centralized unit CU is provided, and the device includes: a receiving unit, an obtaining unit, a sending unit, and an executing unit; a receiving unit for receiving a first preset request sent by a network element management system EMS; an obtaining unit for After the receiving unit receives the first preset request, obtain the network parameters of the user equipment UE within the management range; the sending unit is configured to send the network parameters of the UE to the EMS after the obtaining unit obtains the network parameters of the UE, so that The EMS determines, according to the received network parameters of the UE, whether the operating parameters of the network slice to which the UE belongs have reached the preset target; if the operating parameters do not reach the preset target, the EMS generates an optimization instruction and sends it to the CU; the receiving unit is also used for Receive the optimization instruction sent by the EMS; the execution unit is configured to optimize the performance of the network slice to which the UE belongs according to the optimization instruction after the receiving unit receives the optimization instruction sent by the EMS.

The radio resource optimization method and device provided by the embodiments of the present application, by acquiring the network performance parameters of the terminal device, perform real-time optimization for different types of network slices, realize the real-time performance of radio resource allocation, and meet the requirements of different user equipment on the network. Requirements.

Description of drawings

1 is a schematic diagram of a network architecture provided by an embodiment of the present application;

FIG. 2 is a flowchart of a radio resource optimization method provided by an embodiment of the present application;

3 is a flowchart of another radio resource optimization method provided by an embodiment of the present application;

FIG. 4 is a second flowchart of a method for optimizing radio resources according to an embodiment of the present application;

5 is a schematic structural diagram of an EMS server provided by an embodiment of the present application;

6 is a schematic structural diagram of a centralized unit CU provided by an embodiment of the present application;

FIG. 7 is a schematic structural diagram of another radio resource optimization apparatus provided by an embodiment of the present application;

FIG. 8 is a schematic structural diagram of still another radio resource optimization apparatus according to an embodiment of the present application.

Detailed ways

Hereinafter, some concepts involved in the embodiments of the present application will be briefly introduced, and the technical solutions in the embodiments of the present application will be described clearly and completely with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only Some embodiments of the present application, but not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

In the description of this application, unless otherwise stated, "/" means "or", for example, A/B can mean A or B. In this article, "and/or" is only an association relationship to describe the associated objects, which means that there can be three kinds of relationships, for example, A and/or B, which can mean that A exists alone, A and B exist at the same time, and B exists alone these three situations. Further, "at least one" means one or more, and "plurality" means two or more. The words "first" and "second" do not limit the quantity and execution order, and the words "first", "second" and the like do not limit certain differences.

The following is a brief explanation of the technical terms involved in this application:

5G (5th generation mobile networks, fifth generation mobile communication technology) network slicing refers to the implementation of network data distribution management, and the existing physical network is logically divided into multiple different types of virtual networks, according to different users. The service requirements are divided by indicators such as delay level, bandwidth size, reliability strength, etc., so as to cope with complex and changeable application scenarios.

At present, 5G network slicing is divided according to three typical application scenarios of 5G, namely eMBB (enhanced mobile broadband), mMTC (massive Machine Type of Communication, massive machine type communication (also known as large-scale Internet of Things)), URLLC ( ultra reliable low latency communications, ultra reliable ultra low latency communications). Different types of network slicing respond to different application scenarios, are isolated from each other, and do not affect each other to meet the network requirements of different terminal devices.

The new generation of 5G base station CU (cntralized unit, centralized unit)-DU (distributed unit, distributed unit) architecture distributes baseband functions to two physical devices, CU and DU, which together complete the 5G baseband unit. Both CU and DU can be implemented by independent hardware, and some core network functions can be moved down to CU or even DU to implement mobile edge computing to reduce the burden on the core network.

Based on the above-mentioned network architecture, for the resource allocation methods of different types of network slices, different time-frequency resources are currently allocated mainly according to the types of network slices. However, this allocation method cannot meet the real-time requirements of more refined services and real-time adjustment of resource allocation according to the needs of user equipment. For example, after resource allocation is completed, if a large number of user equipments are newly connected, network resources are preempted, and wireless resource re-allocation cannot be performed in real time to meet the needs of the user equipments for the wireless network.

Therefore, the present application proposes a radio resource allocation method to solve the above problems.

Example 1:

This embodiment provides a radio resource allocation method, which is applied in a 5G network. Exemplarily, as shown in FIG. 1 , it is a schematic diagram of a network architecture to which a radio resource allocation method provided by the present application is applicable. Among them, the RAN EMS (element management system, network element management system) is mainly used to manage specific types of network elements, in this embodiment, it is mainly used to analyze the collected network parameters of UE (user equipment, user equipment), and formulate optimization Program. RANNSSMF (network slice subnet management function, network slice subnet management function) is used in this embodiment to query the network slice type and template information to which the UE belongs. NFVO (network function virtualization orchestrator) decouples hardware and software and abstracts functions, so that network device functions no longer depend on dedicated hardware, and resources can be fully and flexibly shared, enabling rapid development and deployment of new services. Automatic deployment, elastic scaling, fault isolation, and self-healing based on actual business requirements. VNFM (virtualised network function Manager, virtual network function management) is mainly used to coordinate and manage the virtualized network architecture. The centralized unit CU can support dozens or even hundreds of distributed units DU at the same time, which provides conditions for a large amount of data collection and analysis of different services.

Based on the network architecture shown in FIG. 1 , this embodiment provides a method for allocating radio resources. As shown in FIG. 2 , a flowchart of a method for optimizing radio resources provided in this embodiment of the present application specifically includes:

S101. The EMS sends a first preset request to the CU, so that the CU sends the network parameters of the UE within the management range to the EMS after receiving the first preset request.

Wherein, the network parameter is used to reflect the network performance of the UE in the working process.

S102: The EMS determines, according to the received network parameters of the UE, whether the operating parameters of the network slice to which the UE belongs reaches the preset index.

S103. If the operating parameters do not reach the preset index, the EMS generates an optimization instruction and sends it to the CU. The optimization instruction is used to optimize the performance of the network slice to which the UE belongs.

Specifically, if the network parameters do not meet the preset index, the EMS generates an optimization solution, and sends an optimization instruction to the CU, so that the CU executes the optimization solution. The optimization scheme generated by the EMS is used to optimize the network performance of the UE, so that the network performance of the UE meets the preset index.

In an implementation manner, the network parameters of the UE may be determined by the following methods:

The EMS acquires the network slice selection assistance information S-NSSAI (Single Network Slice Selection Assistance Information, network slice selection assistance information) of the UE sent by the CU. Wherein, S-NSSAI represents the ID of the network slice to which the UE belongs. The EMS generates a second preset request according to the S-NSSAI, and sends the second preset request to the RANNSSMF. The second preset request is used to obtain the network slice type corresponding to the S-NSSAI. The EMS receives the network slice type fed back by the RAN NSSMF after receiving the second preset request, and determines the required network parameters according to the network slice type.

In an implementation manner, the required network parameters are determined according to the network slice type, including:

The EMS sends a third preset request to the RAN NSSMF. The third preset request is used to obtain template information of the network slice to which the UE belongs. The template information of the network slice to which the UE belongs is used to indicate the requirements of the network slice on the wireless network performance. After receiving the template information sent by the RAN NSSMF after receiving the third preset request, the EMS determines network parameters to be acquired according to the template information.

In order to more clearly understand the interaction process between the network elements in this embodiment, as shown in FIG. 3 , a flowchart of another radio resource optimization method provided by the present application specifically includes:

S201. The CU sends the S-NSSAI of the UE within its management scope to the EMS;

S202. After receiving the S-NSSAI of the UE sent by the CU, the EMS sends a second preset request to the RAN NSSMF;

S203. After receiving the second preset request sent by the EMS, the RAN NSSMF sends the network slice type corresponding to the S-NSSAI to the EMS;

S204. After the EMS receives the network slice type corresponding to the S-NSSAI sent by the RAN NSSMF, in order to determine the network parameters of the UE that can reflect the performance of the network slice to which the UE belongs, the EMS sends a third preset request to the RAN NSSMF;

S205. After receiving the third preset request sent by the EMS, the RAN NSSMF sends the template information of the network slice to which the UE belongs to the EMS;

S206. The EMS determines, according to the received template information of the network slice of the UE, that network parameters of the UE need to be acquired, and sends a first preset request to the CU;

S207. After receiving the first preset request sent by the EMS, the CU sends the network parameters of the UE to the EMS;

S208. After receiving the network parameters of the UE, the EMS determines whether the preset indicators are met, and if the preset indicators are not met, an optimization solution is generated, and an optimization instruction is sent to the CU.

Exemplarily, for different types of network slices, determine the network parameters of the UE that need to be acquired, specifically including: the network slice eMBB requires that the real-time rate is not lower than the preset value, and at the same time, in order to ensure the real-time acquisition of AR or VR images, it is also necessary to ensure certain time delay. Therefore, the network parameters obtained by the UE whose slice type is eMBB may include: the signal quality of the UE, the data packet rate, and the data packet delay. The network slicing URLLC has high requirements on end-to-end delay, as well as processing delay and reliability on the wireless side, but the data packets are small and the rate requirements are not very high. Therefore, the network parameters obtained by the UE whose slice type is URLLC may include: the scheduling period of the data packet, the data packet delay, and the packet error rate. Network slicing mMTC has relatively low requirements on rate and delay, but requires a high number of connections, and also needs to consider the energy consumption of user equipment. Therefore, the network parameters obtained by the UE whose slice type is mMTC may include: transmit power and terminal activity time ratio. At the same time, it is also necessary to count the number of terminal connections whose slice type is mMTC.

In an implementation manner, the optimization scheme generated by the EMS specifically includes: if the network slice type to which the UE belongs is eMBB, the resources allocated by the slice can be increased, or its MIMO (multiple-input multiple-output, multiple-input multiple-output) can be adjusted. ) multiplexing mode to ensure its network speed. If the network slice type of the UE is URLLC, it can be optimized by means of PDCP (packet data convergence protocol, packet data convergence protocol) packet replication to reduce the packet error rate, or to reduce delay by preemptive access. If the network slice type to which E belongs is mMTC, the power consumption of the UE can be reduced by configuring a reasonable sleep time.

The wireless resource optimization method provided by this embodiment determines whether the network performance parameters of the terminal device meet the preset indicators by obtaining the network performance parameters. If not, real-time optimization is performed for different types of network slices, thereby realizing the real-time performance of wireless resource allocation. , which satisfies the network usage requirements of different user equipments, and makes up for the defect that real-time allocation of radio resources cannot be performed in the prior art.

Embodiment 2:

This embodiment provides a radio resource optimization method, which is applied to a 5G network and is used to optimize the resource allocation of network slices in the 5G network in real time. The specific method is shown in Figure 4, including:

S301. The centralized unit CU receives a first preset request sent by the network element management system EMS. After receiving the first preset request, the CU obtains network parameters of the user equipment UE within the management range.

Wherein, the network parameter is used to reflect the network performance of the UE in the working process. The specific method for determining the network parameters of the UE has been described in detail in Embodiment 1 of the present application, and will not be repeated here.

S302: The CU sends the acquired network parameters of the UE to the EMS, so that the EMS determines whether the operating parameters of the network slice to which the UE belongs reach the preset target according to the received network parameters of the UE.

If the operating parameters do not reach the preset target, the EMS generates an optimization instruction and sends it to the CU.

Specifically, if the network parameters do not meet the preset index, the EMS generates an optimization solution, and sends an optimization instruction to the CU, so that the CU executes the optimization solution. The optimization scheme generated by the EMS is used to optimize the network performance of the UE, so that the network performance of the UE meets the preset index.

S303. The CU receives the optimization instruction sent by the EMS, and optimizes the performance of the network slice to which the UE belongs according to the optimization instruction.

The specific network slicing optimization solution has been described in detail in Embodiment 1 of this application, and will not be repeated here.

Embodiment three:

This embodiment provides an EMS server, which is applied in a 5G network and used to optimize the resource allocation of network slices in the 5G network in real time. As shown in FIG. 5 , it specifically includes: a sending unit 401 , a receiving unit 402 , a determining unit 403 , and a generating unit 404 .

A sending unit 401, configured to send a first preset request to the centralized unit CU, so that after receiving the first preset request, the CU sends the network parameters of the user equipment UE within the management scope to the EMS server;

Wherein, the network parameter is used to reflect the network performance of the UE in the working process;

A receiving unit 402, configured to receive network parameters of the UE sent by the CU;

A determination unit 403, configured to determine, according to the received network parameters of the UE, whether the operating parameters of the network slice to which the UE belongs have reached a preset index;

The generating unit 404 is configured to generate an optimization instruction when the operating parameter does not reach the preset index; the optimization instruction is used to optimize the performance of the network slice to which the UE belongs.

The sending unit 401 is further configured to send the optimization instruction to the CU.

Specifically, if the network parameters do not meet the preset index, the generating unit 404 generates an optimization solution, and the sending unit 401 sends the optimization instruction generated by the generating unit 404 to the CU, so that the CU executes the optimization solution.

The generating unit 404 generates an optimization scheme for optimizing the network performance of the UE, so that the network performance of the UE meets the preset index.

In an implementation manner, the network parameters of the UE may be determined by the following methods:

The receiving unit 402 receives network slice selection assistance information S-NSSAI (Single Network Slice Selection Assistance Information, network slice selection assistance information) of the UE sent by the CU. Wherein, S-NSSAI represents the ID of the network slice to which the UE belongs.

The generating unit 404 generates a second preset request according to the S-NSSAI, and sends the second preset request to the RAN NSSMF through the sending unit 401 . Wherein, the second preset request is used to obtain the network slice type corresponding to the S-NSSAI.

The receiving unit 402 receives the network slice type fed back by the RAN NSSMF after receiving the second preset request sent by the sending unit 401 .

The determining unit 403 determines the required network parameters according to the network slice type received by the receiving unit 402 .

In an implementation manner, the required network parameters are determined according to the network slice type, including:

The sending unit 401 sends a third preset request to the RAN NSSMF. The third preset request is used to obtain template information of the network slice to which the UE belongs. The template information of the network slice to which the UE belongs is used to indicate the requirements of the network slice on the wireless network performance.

The receiving unit 402 receives the template information sent by the RAN NSSMF after receiving the third preset request sent by the sending unit 401 .

The determining unit 403 determines the network parameters to be acquired according to the template information received by the receiving unit 402 .

Exemplarily, for different types of network slices, determine the network parameters of the UE that need to be acquired, specifically including: the network slice eMBB requires that the real-time rate is not lower than the preset value, and at the same time, in order to ensure the real-time acquisition of AR or VR images, it is also necessary to ensure certain time delay. Therefore, the network parameters obtained by the UE whose slice type is eMBB may include: the signal quality of the UE, the data packet rate, and the data packet delay. The network slicing URLLC has high requirements on end-to-end delay, as well as processing delay and reliability on the wireless side, but the data packets are small and the rate requirements are not very high. Therefore, the network parameters obtained by the UE whose slice type is URLLC may include: the scheduling period of the data packet, the data packet delay, and the packet error rate. Network slicing mMTC has relatively low requirements on rate and delay, but requires a high number of connections, and also needs to consider the energy consumption of user equipment. Therefore, the network parameters obtained by the UE whose slice type is mMTC may include: transmit power and terminal activity time ratio. At the same time, it is also necessary to count the number of terminal connections whose slice type is mMTC.

In an implementation manner, the optimization scheme generated by the generating unit 404 specifically includes: if the type of network slice to which the UE belongs is eMBB, the resources allocated by the slice can be increased, or the MIMO (multiple-input multiple-output, multiple-input multiple-output) can be adjusted. more) multiplexing mode to ensure its network speed. If the network slice type of the UE is URLLC, it can be optimized by means of PDCP (packet data convergence protocol, packet data convergence protocol) packet replication to reduce the packet error rate, or to reduce delay by preemptive access. If the network slice type to which E belongs is mMTC, the power consumption of the UE can be reduced by configuring a reasonable sleep time.

Embodiment 4:

This embodiment provides a centralized unit CU, which is applied in a 5G network and used to optimize the resource allocation of network slices in the 5G network in real time. As shown in FIG. 6 , it includes: a receiving unit 501 , an obtaining unit 502 , a sending unit 503 , and an executing unit 504 .

A receiving unit 501, receiving a first preset request sent by a network element management system EMS;

The obtaining unit 502, after the receiving unit 501 receives the first preset request, obtains the network parameters of the user equipment UE within the management scope;

Wherein, the network parameter is used to reflect the network performance of the UE in the working process. The specific method for determining the network parameters of the UE has been described in detail in Embodiment 1 of the present application, and will not be repeated here.

The sending unit 503, after the obtaining unit 502 obtains the network parameters of the UE, sends the network parameters of the UE to the EMS, so that the EMS determines, according to the received network parameters of the UE, whether the operating parameters of the network slice to which the UE belongs have reached a preset value index;

If the operating parameters do not reach the preset indicators, the EMS generates optimization instructions and sends them to the CU;

Specifically, if the network parameters do not meet the preset index, the EMS generates an optimization solution, and sends an optimization instruction to the CU, so that the CU executes the optimization solution. The optimization scheme generated by the EMS is used to optimize the network performance of the UE, so that the network performance of the UE meets the preset index.

The receiving unit 501 receives the optimization instruction sent by the EMS;

The executing unit 504, after the receiving unit 501 receives the optimization instruction sent by the EMS, optimizes the performance of the network slice to which the UE belongs according to the optimization instruction.

The specific network slicing optimization solution has been described in detail in Embodiment 1 of this application, and will not be repeated here.

In this embodiment of the present application, the network priority evaluation apparatus may be divided into functional modules or functional units according to the foregoing method examples. For example, each functional module or functional unit may be divided corresponding to each function, or two or more functions may be integrated. in a processing module. The above-mentioned integrated modules can be implemented in the form of hardware, and can also be implemented in the form of software function modules or functional units. Wherein, the division of modules or units in the embodiments of the present application is schematic, and is only a logical function division, and there may be other division manners in actual implementation.

In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are only illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components may be combined or Can be integrated into another system, or some features can be ignored, or not implemented.

In the case of using an integrated unit, FIG. 7 shows a possible structural schematic diagram of the above-mentioned EMS server or the centralized unit CU. The control device 60 includes: a storage unit 601, a processing unit 602 and an interface unit 603. The processing unit 602 is used to control and manage the operation of the control device 60 . The storage unit 601 is used for program codes and data of the control device. The interface unit 603 is used to connect with other external devices to receive input content.

The processing unit is the processor, the storage unit is the memory, and the interface unit is the transceiver as an example. The EMS server or centralized unit CU may refer to device 70 in FIG. 8 , including transceiver 703 , processor 702 , memory 701 and bus 704 .

The processor 702 may be a general-purpose central processing unit (Central Processing Unit, CPU), a microprocessor, an application-specific integrated circuit (Application-Specific Integrated Circuit, ASIC), or one or more processors for controlling the execution of the programs of the present application. integrated circuit.

The memory 701 may be a read-only memory (Read-Only Memory, ROM) or other types of static storage devices that can store static information and instructions, a random access memory (Random Access Memory, RAM) or other types that can store information and instructions The dynamic storage device can also be an Electrically Erasable Programmable Read-only Memory (EEPROM), a Compact Disc Read-Only Memory (CD-ROM), or other optical disk storage, optical disk storage ( including compact discs, laser discs, compact discs, digital versatile discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or capable of carrying or storing desired program code in the form of instructions or data structures and capable of being stored by a computer any other medium taken, but not limited to this. The memory can exist independently and be connected to the processor through a bus. The memory can also be integrated with the processor.

Wherein, the memory 701 is used for storing the application code for executing the solution of the present application, and the execution is controlled by the processor 702 . The transceiver 703 is used to receive the content input by the external device, and the processor 702 is used to execute the application program code stored in the memory 701, so as to realize the judgment of whether the network parameters of the UE meet the preset conditions and the generation of an optimization scheme in the embodiment of the present application. step.

In the above-mentioned embodiments, it may be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using a software program, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on the computer, all or part of the processes or functions described in the embodiments of the present application are generated. The computer may be a general purpose computer, special purpose computer, computer network, or other programmable device. The computer instructions may be stored in or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be downloaded from a website site, computer, server, or data center The transmission is carried out to another website site, computer, server or data center by wire (eg coaxial cable, optical fiber, Digital Subscriber Line, DSL) or wireless (eg infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or data storage devices including one or more servers, data centers, etc. that can be integrated with the medium. The usable media may be magnetic media (eg, floppy disks, hard disks, magnetic tapes), optical media (eg, DVD), or semiconductor media (eg, Solid State Disk (SSD)), and the like.

The above are only specific embodiments of the present application, but the protection scope of the present application is not limited to this. should be covered within the scope of protection of this application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims (10)

1. A radio resource optimization method, comprising: The network element management system EMS sends a first preset request to the centralized unit CU, so that the CU sends the network parameters of the user equipment UE within the management range to the EMS after receiving the first preset request; The network parameters are used to reflect the network performance of the UE in the working process; The EMS determines, according to the received network parameters of the UE, whether the operating parameters of the network slice to which the UE belongs have reached a preset index; If the operating parameter does not reach the preset index, the EMS generates an optimization instruction and sends it to the CU; the optimization instruction is used to optimize the performance of the network slice to which the UE belongs. 2. The radio resource optimization method according to claim 1, wherein the method further comprises: obtaining, by the EMS, the network slice selection assistance information S-NSSAI of the UE sent by the CU; The EMS generates a second preset request according to the S-NSSAI, and sends the second preset request to the radio access network network slice subnet management function RAN NSSMF; the second preset request is used to obtain the network slice type corresponding to the S-NSSAI; receiving, by the EMS, the network slice type fed back by the RAN NSSMF after receiving the second preset request; According to the network slice type, the required network parameters are determined. 3. The radio resource optimization method according to claim 2, wherein the determining the required network parameters according to the network slice type specifically comprises: The EMS sends a third preset request to the RAN NSSMF; the third preset request is used to obtain template information of a network slice to which the UE belongs; the template information is used to indicate that the network slice affects the wireless network performance requirements; receiving, by the EMS, the template information sent by the RAN NSSMF after receiving the third preset request; The EMS determines the network parameters to be acquired according to the template information. 4. The radio resource optimization method according to claim 1, wherein if the operating parameter does not reach the preset index, the EMS generates an optimization instruction and sends it to the CU, specifically comprising: If the network parameter does not meet the preset index, the EMS generates an optimization solution, and sends an optimization instruction to the CU, so that the CU executes the optimization solution; The optimization scheme is used to optimize the network performance of the UE, so that the network performance of the UE meets the preset index. 5. A radio resource optimization method, comprising: The centralized unit CU receives the first preset request sent by the network element management system EMS; after receiving the first preset request, the CU acquires network parameters of the user equipment UE within the management scope; The CU sends the acquired network parameters of the UE to the EMS; so that the EMS determines, according to the received network parameters of the UE, whether the operating parameters of the network slice to which the UE belongs have reached a preset value index; if the operating parameter does not reach the preset index, the EMS generates an optimization instruction and sends it to the CU; The CU receives the optimization instruction sent by the EMS, and optimizes the performance of the network slice to which the UE belongs according to the optimization instruction. 6. An EMS server, comprising: a sending unit, a receiving unit, a determining unit, and a generating unit; The sending unit is configured to send a first preset request to the centralized unit CU, so that after receiving the first preset request, the CU sends the network of the user equipment UE within the management range to the EMS server parameter; the network parameter is used to reflect the network performance of the UE in the working process; the receiving unit, configured to receive the network parameter of the UE sent by the CU; The determining unit is configured to determine, according to the received network parameters of the UE, whether the operating parameters of the network slice to which the UE belongs have reached a preset index; The generating unit is configured to generate an optimization instruction when the operating parameter does not reach the preset index; the optimization instruction is used to optimize the performance of the network slice to which the UE belongs; The sending unit is further configured to send the optimization instruction to the CU. 7. EMS server according to claim 6, is characterized in that, The receiving unit is further configured to receive the network slice selection assistance information S-NSSAI of the UE sent by the CU; The generating unit is further configured to generate a second preset request according to the S-NSSAI; The sending unit is further configured to send the second preset request to the radio access network network slice subnet management function RAN NSSMF after the generating unit generates the second preset request; the second preset request The preset request is used to obtain the network slice type corresponding to the S-NSSAI; The determining unit is further configured to determine required network parameters according to the network slice type. 8. The EMS server according to claim 7, wherein the determining unit determines required network parameters according to the network slice type, specifically comprising: The sending unit is further configured to send a third preset request to the RAN NSSMF; the third preset request is used to obtain template information of a network slice to which the UE belongs; the template information is used to indicate the network Slicing requirements for wireless network performance; The receiving unit is further configured to receive the template information sent by the RAN NSSMF after receiving the third preset request; The determining unit is further configured to determine network parameters to be acquired according to the template information. 9. The EMS server according to claim 6, wherein the generating unit is configured to generate an optimization instruction and send it to the CU when the operating parameter does not reach the preset index, specifically comprising: If the network parameter does not meet the preset index, the generating unit is further configured to generate an optimization plan; The sending unit is further configured to send an optimization instruction to the CU after the generation unit generates the optimization solution, so that the CU executes the optimization solution; The optimization scheme is used to optimize the network performance of the UE, so that the network performance of the UE meets the preset index. 10. A centralized unit CU, characterized by comprising: a receiving unit, an obtaining unit, a sending unit, and an executing unit; the receiving unit, configured to receive the first preset request sent by the network element management system EMS; the obtaining unit, configured to obtain the network parameters of the user equipment UE within the management scope after the receiving unit receives the first preset request; The sending unit is configured to send the network parameters of the UE to the EMS after the obtaining unit obtains the network parameters of the UE, so that the EMS determines the network parameters of the UE according to the received network parameters Whether the operating parameter of the network slice to which the UE belongs reaches the preset index; if the operating parameter does not reach the preset index, the EMS generates an optimization instruction and sends it to the CU; The receiving unit is further configured to receive the optimization instruction sent by the EMS; The executing unit is configured to, after the receiving unit receives the optimization instruction sent by the EMS, optimize the performance of the network slice to which the UE belongs according to the optimization instruction.

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