CN110708708B

CN110708708B - Wireless resource optimization method and device

Info

Publication number: CN110708708B
Application number: CN201910827580.4A
Authority: CN
Inventors: 刘珊; 黄蓉; 王友祥
Original assignee: China United Network Communications Group Co Ltd
Current assignee: China United Network Communications Group Co Ltd
Priority date: 2019-09-03
Filing date: 2019-09-03
Publication date: 2022-10-25
Anticipated expiration: 2039-09-03
Also published as: CN110708708A

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 to optimize 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

Wireless resource optimization method and device

Technical Field

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

Background

The future 5G technology service will present the characteristics of multi-scene and differentiation. For example, the mobile internet service emphasizes bandwidth, the automatic driving service needs low-delay and high-reliability guarantee, and the internet of things service needs to support a huge number of connections. In this regard, the 5G radio access network and the core network are functionally reconfigured, the physical deployment location of the device processing unit is changed according to the service type, and an independent end-to-end logical network is constructed for different types of services on the same physical network through network slices.

Different network slices implement different performances by using different network deployments, and for a Radio Access Network (RAN), resources of the RAN are allocated to the different network slices. In the prior art, RAN time frequency resources are mostly allocated to different services in a fixed or shared resource manner in a fixed allocation manner, and it is difficult to optimize the allocation of slice network resources in real time in the face of service demand changes in such a manner that RAN resources are allocated in advance.

Disclosure of Invention

The embodiment of the application provides a method and a device for optimizing wireless resources, which are used for optimizing the performance of a network slice.

In order to achieve the above purpose, the embodiment of the present application adopts the following technical solutions:

in a first aspect, a method for optimizing radio resources is provided, where the method includes:

the method comprises the steps that an element management system EMS sends a first preset request to a central unit CU, so that the CU sends network parameters of user equipment UE within a management range to the EMS after receiving the first preset request; the network parameter is used for reflecting the network performance of the UE in the working process; 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; 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.

In a second aspect, a method for optimizing radio resources is provided, the method including:

a central unit CU receives a first preset request sent by a network element management system EMS; after receiving the first preset request, the CU acquires network parameters of User Equipment (UE) in a management range; the CU sends the acquired network parameters of the UE to the EMS; enabling the EMS to determine whether the operation parameters of the network slice to which the UE belongs reach preset indexes or not according to the received network parameters of the UE; if the operation parameters do not reach the preset indexes, the EMS generates an optimization instruction and sends the optimization instruction to the CU; and the CU receives an optimization instruction sent by the EMS, and 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 apparatus including: the device comprises a sending unit, a receiving unit, a determining unit and a generating unit; a sending unit, configured to send a first preset request to a central unit CU, so that the CU sends a network parameter of the user equipment UE within a management range to the EMS server after receiving the first preset request; the network parameter is used for reflecting the network performance of the UE in the working process; a receiving unit, configured to receive a network parameter of the UE sent by the CU; the determining unit is used for determining whether the operation parameters of the network slice to which the UE belongs reach preset indexes or not according to the received network parameters of the UE; the generating unit is used for generating an optimization instruction and sending the optimization instruction to the CU when the operation parameter does not reach the preset index; the optimization instructions are used to optimize performance of the network slice to which the UE belongs.

In a fourth aspect, a concentration unit CU is provided, the apparatus comprising: the device comprises a receiving unit, an obtaining unit, a sending unit and an executing unit; the device comprises a receiving unit, a processing unit and a processing unit, wherein the receiving unit is used for receiving a first preset request sent by an element management system EMS; the acquiring unit is used for acquiring the network parameters of the user equipment UE in the management range after the receiving unit receives the first preset request; the sending unit is used for sending the network parameters of the UE to the EMS after the network parameters of the UE are obtained by the obtaining unit, so that the EMS can determine whether the operation parameters of the network slice to which the UE belongs reach preset indexes or not according to the received network parameters of the UE; 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 receiving unit is also used for receiving an optimization instruction sent by EMS; and the execution unit is used for optimizing 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.

According to the method and the device for optimizing the wireless resources, the network performance parameters of the terminal device are obtained, and real-time optimization is performed on different types of network slices, so that the real-time performance of wireless resource allocation is realized, and the use requirements of different user equipment on the network are met.

Drawings

Fig. 1 is a schematic diagram of a network architecture according to an embodiment of the present application;

fig. 2 is a flowchart of a radio resource optimization method according to an embodiment of the present application;

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

fig. 4 is a flowchart of a radio resource optimization method according to an embodiment of the present application;

fig. 5 is a schematic structural diagram of an EMS server according to an embodiment of the present application;

fig. 6 is a schematic structural diagram of a centralized unit CU according to an embodiment of the present disclosure;

fig. 7 is a schematic structural diagram of another radio resource optimization apparatus according to an embodiment of the present application;

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

Detailed Description

The following briefly introduces some concepts related to the embodiments of the present application, and the technical solutions in the embodiments of the present application will be clearly and completely described with reference to the drawings in the embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

In the description of this application, "/" means "or" unless otherwise stated, for example, A/B may mean A or B. "and/or" herein is merely 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. Further, "at least one" means one or more, "a plurality" means two or more. The terms "first," "second," and the like do not denote any order or importance, but rather the terms "first," "second," and the like do not denote any order or importance.

The technical terms referred to in this application are briefly explained below:

the 5G (5 th generation mobile communication technology) network slice is to perform stream division management on network data, divide a physical network which exists in reality into a plurality of virtual networks of different types on a logic level, and divide the virtual networks into indexes such as delay height, bandwidth size, reliability strength and the like according to service requirements of different users, so as to cope with complex and variable application scenarios.

Currently, 5G network slices are divided according to three general application scenarios of 5G, namely, eMBB (enhanced mobile broadband), mtc (passive Machine Type of Communication, mass Machine Type Communication (also called large-scale internet of things)), URLLC (ultra reliable low latency Communication). The network slices of different types are corresponding to different application scenes, are isolated from each other and do not influence each other, and the requirements of different terminal devices on the network are met.

A new generation of 5G base station CU (centralized unit) -DU (distributed unit) architecture distributes the baseband functions to two physical devices, namely CU and DU, which together complete the formation of a 5G baseband unit. Both CUs and DUs can be implemented by independent hardware, and part of the core network functions can be moved down to CUs and even DUs for implementing mobile edge computation to reduce the burden on the core network.

Based on the network architecture, different time-frequency resources are allocated to different types of network slices mainly according to the types of the network slices. However, the allocation formula cannot meet the real-time requirement of more refined services and real-time resource allocation adjustment according to the requirement of the user equipment. For example, after the resource allocation is completed, if a large number of user equipments are newly accessed, the network resources are preempted, and the radio resources cannot be reallocated in real time, so as to meet the requirement of the user equipments on the radio network.

Therefore, the present application provides a radio resource allocation method to solve the above problem.

The first embodiment is as follows:

the embodiment provides a radio resource allocation method, which is applied to a 5G network. For example, as shown in fig. 1, a schematic diagram of a network architecture to which a radio resource allocation method provided in the present application is applicable is shown. The RAN EMS (element management system) is mainly used to manage a specific type of network element, and in this embodiment, is mainly used to analyze collected network parameters of the UE (user equipment) and make an optimization scheme. The RAN NSSMF (network slice subnet management function) is used in this embodiment to query the type of the network slice to which the UE belongs and the template information. The NFVO (network function virtualization orchestrator) decouples and abstracts functions of network devices by software and hardware, so that the functions of the network devices do not depend on dedicated hardware any more, resources can be shared sufficiently and flexibly, rapid development and deployment of new services are realized, and automatic deployment, elastic expansion, fault isolation, self-healing and the like are performed based on actual service requirements. VNFM (virtual network function Manager) is mainly used to coordinate management of a virtualized network architecture. The central unit CU can simultaneously support dozens or even hundreds of distribution units DU, providing conditions for the collection and analysis of a large amount of data for different services.

Based on the network architecture shown in fig. 1, the present embodiment provides a radio resource allocation method, and as shown in fig. 2, a flowchart of a radio resource optimization method provided in the present embodiment specifically includes:

s101, the EMS sends a first preset request to the CU, so that the CU sends the network parameters of the UE in the management range to the EMS after receiving the first preset request.

The network parameter is used for reflecting the network performance of the UE in the working process.

S102, the EMS determines whether the operation parameters of the network slice to which the UE belongs reach preset indexes or not according to the received network parameters of the UE.

S103, 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 instruction is used for optimizing the performance of the network slice to which the UE belongs.

Specifically, if the network parameter does not meet the preset index, the EMS generates an optimization scheme and sends an optimization instruction to the CU, so that the CU executes the optimization scheme. And the optimization scheme generated by the EMS is used for optimizing the network performance of the UE so that the network performance of the UE meets the preset index.

In one implementation, the network parameters of the UE may be determined by:

the EMS acquires Network Slice Selection Assistance Information S-NSSAI (Network Slice Selection Assistance Information) of the UE, which is 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 RAN NSSMF. The second preset request is used for acquiring a network slice type corresponding to the S-NSSAI. And 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 one implementation, determining the required network parameter according to the type of the network slice specifically includes:

the EMS sends a third preset request to the RAN NSSMF. And the third preset request is used for acquiring the 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 for representing the requirement of the network slice on the performance of the wireless network. After receiving 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.

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

s201, the CU sends S-NSSAI of the UE in the management range of the CU 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 a second preset request sent by the EMS, the RAN NSSMF sends a network slice type corresponding to the S-NSSAI to the EMS;

s204, after receiving the network slice type corresponding to the S-NSSAI sent by the RAN NSSMF, the EMS sends a third preset request to the RAN NSSMF in order to determine the network parameters of the UE capable of reflecting the network slice performance of the UE;

s205, after receiving a third preset request sent by the EMS, the RAN NSSMF sends template information of the network slice to which the UE belongs to the EMS;

s206, the EMS determines that the network parameters of the UE need to be acquired according to the received template information of the network slice of the UE, and sends a first preset request to the CU;

s207, after receiving a first preset request sent by the EMS, the CU sends the network parameters of the UE to the EMS;

and S208, after receiving the network parameters of the UE, the EMS judges whether the network parameters meet preset indexes, if not, generates an optimization scheme and sends an optimization instruction to the CU.

For example, for different types of network slices, determining the network parameters of the UE to be acquired specifically includes: the network slice eMBB requires that the real-time rate is not lower than a preset value, and meanwhile, a certain time delay needs to be ensured in order to ensure real-time acquisition of the AR or VR picture. Therefore, the network parameters acquired by the UE with the slice type of eMBB may include: signal quality, packet rate, packet delay of the UE. The network slice URLLC has high requirements for end-to-end delay, processing delay and reliability at the wireless side, but the data packet is very small and the requirement for rate is not very high. Therefore, the network parameters obtained by the UE with slice type URLLC may include: scheduling period of data packets, data packet delay and packet error rate. The network slice mtc has relatively low requirements on rate and delay, but requires a high number of connections, and also needs to consider energy consumption of the user equipment. Therefore, the network parameters obtained by the UE with slice type mtc may include: transmit power, terminal active time ratio. Meanwhile, the number of terminal connections with slice type of mtc also needs to be counted.

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

According to the method for optimizing the wireless resources, whether the network performance parameters of the terminal equipment meet the preset indexes or not is judged by obtaining the network performance parameters of the terminal equipment, if the network performance parameters do not meet the preset indexes, real-time optimization is carried out on different types of network slices, the real-time performance of wireless resource allocation is achieved, the use requirements of different user equipment on the network are met, and the defect that the wireless resources cannot be allocated in real time in the prior art is overcome.

Example two:

the embodiment provides a wireless resource optimization method, which is applied to a 5G network and used for optimizing resource allocation of network slices in the 5G network in real time. The specific method is shown in fig. 4, and comprises the following steps:

s301, the central unit CU receives a first preset request sent by the element management system EMS. And after receiving the first preset request, the CU acquires the network parameters of the user equipment UE in the management range.

The network parameter is used for reflecting the network performance of the UE in the working process. The specific method for determining the network parameter of the UE has been described in detail in the first embodiment of the present application, and is not described herein again.

S302, the CU sends the acquired network parameters of the UE to the EMS, so that the EMS can determine whether the operation parameters of the network slice to which the UE belongs reach preset indexes or not according to the received network parameters 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.

S303, the CU receives an 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 slice optimization scheme has already been described in detail in the first embodiment of the present application, and is not described again here.

Example three:

the embodiment provides an EMS server, which is applied to a 5G network and used for optimizing resource allocation of network slices in the 5G network in real time. As shown in fig. 5, the method specifically includes: transmitting section 401, receiving section 402, determining section 403, and generating section 404.

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

the network parameters are used for reflecting the network performance of the UE in the working process;

a receiving unit 402, configured to receive a network parameter of the UE sent by the CU;

a determining unit 403, configured to determine, according to the received network parameter of the UE, whether an operation parameter of a network slice to which the UE belongs reaches a preset index;

a generating unit 404, configured to generate an optimization instruction when the operation parameter does not reach a preset index; the optimization instructions are used for optimizing 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 parameter does not satisfy the preset index, the generating unit 404 generates an optimization scheme, 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 scheme.

The generating unit 404 is configured to generate an optimization scheme for optimizing the network performance of the UE, so that the network performance of the UE meets a preset index.

In one implementation, the network parameters of the UE may be determined by:

the receiving unit 402 receives Network Slice Selection Assistance Information S-NSSAI (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. The second preset request is used for acquiring a 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 one implementation, determining the required network parameter according to the network slice type specifically includes:

the sending unit 401 sends a third preset request to the RAN NSSMF. The third preset request is used for acquiring template information of a network slice to which the UE belongs. The template information of the network slice to which the UE belongs is used for representing the requirement of the network slice on the performance of the wireless network.

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.

For example, for different types of network slices, determining the network parameters of the UE that need to be acquired specifically includes: the network slice eMBB requires that the real-time rate is not lower than a preset value, and meanwhile, a certain time delay needs to be ensured in order to ensure real-time acquisition of the AR or VR picture. Therefore, the network parameters acquired by the UE with the slice type of eMBB may include: signal quality, packet rate, packet delay of the UE. The network slice URLLC has high requirements for end-to-end delay, processing delay and reliability at the wireless side, but the data packet is very small and the requirement for rate is not very high. Therefore, the network parameters acquired by the UE with slice type URLLC may include: scheduling period of data packets, data packet delay and packet error rate. The network slice mtc has relatively low requirements on rate and delay, but requires a high number of connections, and also needs to consider energy consumption of the user equipment. Therefore, the network parameters obtained by the UE with slice type mtc may include: transmit power, terminal active time ratio. Meanwhile, the number of terminal connections with slice type of mtc also needs to be counted.

In an implementation manner, the optimization scheme generated by the generating unit 404 specifically includes: if the network slice type to which the UE belongs is the eMBB, resources allocated by the slice may be increased, or a MIMO (multiple-input multiple-output) multiplexing mode of the UE may be adjusted to ensure a network rate of the UE. If the network slice type of the UE is URLLC, the network slice type may be optimized by Packet Data Convergence Protocol (PDCP) packet replication, so as to reduce packet error rate, or 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 reasonable sleep time.

Example four:

the embodiment provides a centralized unit CU, which is applied to a 5G network and is used for optimizing resource allocation of network slices in the 5G network in real time. As shown in fig. 6, includes: receiving section 501, acquiring section 502, transmitting section 503, and executing section 504.

A receiving unit 501, configured to receive a first preset request sent by an element management system EMS;

an obtaining unit 502, configured to obtain a network parameter of the UE within the management range after the receiving unit 501 receives the first preset request;

A sending unit 503, configured to send the network parameter of the UE to the EMS after the obtaining unit 502 obtains the network parameter of the UE, so that the EMS determines, according to the received network parameter of the UE, whether an operation parameter of a network slice to which the UE belongs reaches a preset index;

if the operation parameters do not reach the preset indexes, the EMS generates an optimization instruction and sends the optimization instruction to the CU;

A receiving unit 501, which receives an 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 slice optimization scheme has already been described in detail in the first embodiment of the present application, and is not described herein again.

In the embodiment of the present application, the network priority evaluation device may be divided into the functional modules or the functional units according to the above 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 into one processing module. The integrated module may be implemented in a form of hardware, or may be implemented in a form of a software functional module or a functional unit. The division of the modules or units 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.

In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed.

In case of an integrated unit, fig. 7 shows a possible structural schematic of the EMS server or the concentration unit CU described above. 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. A memory unit 601 for controlling the program codes and data of the apparatus. The interface unit 603 is used for connecting with other external devices to receive input content.

For example, the processing unit is a processor, the storage unit is a memory, and the interface unit is a transceiver. The EMS server or the central unit CU may, as shown with reference to the device 70 in fig. 8, comprise a transceiver 703, a processor 702, a memory 701 and a bus 704, the transceiver 703 and the processor 702 being connected to the memory 701 via the bus 704.

The processor 702 may be a general-purpose Central Processing Unit (CPU), a microprocessor, an Application-Specific Integrated Circuit (ASIC), or one or more Integrated circuits configured to control the execution of programs in accordance with the present invention.

The Memory 701 may be a Read-Only Memory (ROM) or other type of static storage device that can store static information and instructions, a Random Access Memory (RAM) or other type of dynamic storage device that can store information and instructions, an Electrically Erasable Programmable Read-Only Memory (EEPROM), a Compact Disc Read-Only Memory (CD-ROM) or other optical Disc storage, optical Disc storage (including Compact Disc, laser Disc, optical Disc, digital versatile Disc, blu-ray Disc, etc.), a magnetic Disc 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, but is not limited to these. The memory may be self-contained and coupled to the processor via a bus. The memory may also be integral to the processor.

The memory 701 is used for storing application program codes for executing the scheme of the application, and the processor 702 is used for controlling the execution. The transceiver 703 is configured to receive content input by an external device, and the processor 702 is configured to execute an application program code stored in the memory 701, so as to implement the steps of determining whether a network parameter of the UE satisfies a preset condition and generating an optimization scheme in this embodiment of the application.

In the above embodiments, all or part of the implementation may be realized by software, hardware, firmware, or any combination thereof. When implemented using a software program, may 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. The procedures or functions described in accordance with the embodiments of the application are all or partially generated when the computer program instructions are loaded and executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website, computer, server, or data center to another website, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or can comprise one or more data storage devices, such as a server, a data center, etc., that can be integrated with the medium. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid State Disk (SSD)), among others.

The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. A method for optimizing radio resources, comprising:

a network element management system EMS acquires network slice selection assistance information S-NSSAI of UE sent by a central unit CU; the UE is user equipment in a management range;

the EMS generates a second preset request according to the S-NSSAI, and sends the second preset request to a radio access network slice subnet management function (RAN NSSMF); the second preset request is used for acquiring a 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;

the EMS determines required network parameters according to the type of the network slice;

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 network parameter of the UE;

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 instruction is used for optimizing the performance of the network slice to which the UE belongs.

2. The method for optimizing radio resources according to claim 1, wherein the determining the required network parameters according to the network slice type specifically includes:

the EMS sends a third preset request to the RAN NSSMF; the third preset request is used for acquiring template information of a network slice to which the UE belongs; the template information is used for representing the requirement of the network slice on the performance of the wireless network;

the EMS receives the template information sent by the RAN NSSMF after receiving the third preset request;

and the EMS determines the network parameters required to be acquired according to the template information.

3. The method of claim 1, wherein if the operating parameter does not reach the preset index, the EMS generates an optimization instruction and sends the optimization instruction to the CU, and specifically includes:

if the network parameters do not meet the preset indexes, the EMS generates an optimization scheme and sends an optimization instruction to the CU, so that the CU executes the optimization scheme;

the optimization scheme is used for optimizing the network performance of the UE so that the network performance of the UE meets the preset index.

4. A method for optimizing radio resources, comprising:

a central unit CU sends network slice selection assistance information S-NSSAI of UE to an element management system EMS (element management system), so that the EMS generates a second preset request according to the S-NSSAI, sends the second preset request to a radio access network slice subnet management function RAN NSSMF (network slice management function), receives the network slice type fed back by the RAN NSSMF after receiving the second preset request, and determines required network parameters according to the network slice type; the second preset request is used for the EMS to acquire a network slice type corresponding to the S-NSSAI; the UE is user equipment in a management range;

the CU acquires network parameters of the UE;

the CU sends the acquired network parameters of the UE to the EMS; enabling the EMS to determine whether the operation parameters of the network slice to which the UE belongs reach preset indexes or not according to the received network parameters of the UE; if the operation parameters do not reach the preset indexes, the EMS generates an optimization instruction and sends the optimization instruction to the CU;

and 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.

5. An EMS server, comprising: the device comprises a sending unit, a receiving unit, a determining unit and a generating unit;

the receiving unit is used for receiving network slice selection assisting information S-NSSAI of the UE sent by the central unit CU; the UE is user equipment in a management range;

the generating unit is used for generating a second preset request according to the S-NSSAI;

the sending unit is further configured to send the second preset request to a RAN NSSMF (radio access network slice subnet management function) after the generating unit generates the second preset request; the second preset request is used for acquiring a network slice type corresponding to the S-NSSAI;

the determining unit is used for determining the required network parameters according to the network slice type;

the receiving unit is further configured to receive the network parameter of the UE sent by the CU;

the determining unit is further configured to determine whether an operating parameter of a network slice to which the UE belongs reaches a preset index according to the received network parameter of the UE;

the generating unit is further used for generating an optimization instruction when the operation parameter does not reach the preset index; the optimization instruction is used for optimizing 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.

6. The EMS server of claim 5, wherein the determining unit determines the required network parameter according to the network slice type, specifically including:

the sending unit is further configured to send a third preset request to the RAN NSSMF; the third preset request is used for acquiring template information of a network slice to which the UE belongs; the template information is used for representing the requirement of the network slice on the performance of the wireless network;

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 a network parameter to be acquired according to the template information.

7. The EMS server of claim 5, wherein the generating unit is configured to generate an optimization instruction and send the optimization instruction to the CU when the operating parameter does not reach the preset index, and specifically includes:

if the network parameter does not meet the preset index, the generating unit is further configured to generate an optimization scheme;

the sending unit is further configured to send an optimization instruction to the CU after the generating unit generates the optimization scheme, so that the CU executes the optimization scheme;

8. A Central Unit (CU), comprising: the device comprises a receiving unit, an obtaining unit, a sending unit and an executing unit;

the transmitting unit is configured to transmit network slice selection assistance information S-NSSAI of the UE to an element management system EMS, so that the EMS generates a second preset request according to the S-NSSAI, transmits the second preset request to a radio access network slice subnet management function RAN NSSMF, receives the network slice type fed back by the RAN NSSMF after receiving the second preset request, and determines a required network parameter according to the network slice type; the second preset request is used for the EMS to acquire the network slice type corresponding to the S-NSSAI; the UE is user equipment in a management range;

the receiving unit is configured to receive a network parameter of the UE;

the acquiring unit is used for acquiring the network parameters of the user equipment UE within the management range after the receiving unit receives the first preset request;

the sending unit is further configured to send the network parameter of the UE to the EMS after the obtaining unit obtains the network parameter of the UE, so that the EMS determines, according to the received network parameter of the UE, whether an operation parameter of a network slice to which the UE belongs reaches a preset index; 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 receiving unit is further configured to receive the optimization instruction sent by the EMS;

the execution unit is configured to, after the receiving unit receives the optimization instruction sent by the EMS, optimize performance of a network slice to which the UE belongs according to the optimization instruction.