WO2020156053A1 - 部署nRT RIC功能的方法和设备 - Google Patents

部署nRT RIC功能的方法和设备 Download PDF

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Publication number
WO2020156053A1
WO2020156053A1 PCT/CN2020/070661 CN2020070661W WO2020156053A1 WO 2020156053 A1 WO2020156053 A1 WO 2020156053A1 CN 2020070661 W CN2020070661 W CN 2020070661W WO 2020156053 A1 WO2020156053 A1 WO 2020156053A1
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Prior art keywords
function
nrt ric
network side
side device
deployed
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PCT/CN2020/070661
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English (en)
French (fr)
Inventor
孙军帅
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中国移动通信有限公司研究院
中国移动通信集团有限公司
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Publication of WO2020156053A1 publication Critical patent/WO2020156053A1/zh

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W28/00—Network traffic management; Network resource management
    • H04W28/16—Central resource management; Negotiation of resources or communication parameters, e.g. negotiating bandwidth or QoS [Quality of Service]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/10—Protocols in which an application is distributed across nodes in the network
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/10—Protocols in which an application is distributed across nodes in the network
    • H04L67/1097—Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/02—Resource partitioning among network components, e.g. reuse partitioning
    • H04W16/10—Dynamic resource partitioning
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W28/00—Network traffic management; Network resource management
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W28/00—Network traffic management; Network resource management
    • H04W28/02—Traffic management, e.g. flow control or congestion control
    • H04W28/08—Load balancing or load distribution
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/04—Wireless resource allocation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W88/00—Devices specially adapted for wireless communication networks, e.g. terminals, base stations or access point devices
    • H04W88/08—Access point devices
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

Definitions

  • the present disclosure relates to the field of communication technology, and in particular to a method and device for deploying nRT RIC functions.
  • the so-called O-RAN or Open RAN
  • the radio access network has evolved from D-RAN (distributed RAN) to C-RAN (centralized RAN), and then to v-RAN (virtualized or cloud-based RAN).
  • D-RAN distributed RAN
  • C-RAN centralized RAN
  • v-RAN virtualized or cloud-based RAN
  • O-RAN Open RAN
  • nRT RIC Near Real-Time Radio Intelligent Controller
  • RRM Radio Resource Management
  • DRA Dynamic Resource Allocation
  • nRT RIC function of nRT RIC function
  • How to deploy nRT RIC has become the key to prove the rationality of nRT RIC.
  • the present disclosure provides a method and device for deploying nRT RIC functions to solve the problem that there is no nRT RIC deployment solution in related technologies.
  • a method for deploying nRT RIC functions includes:
  • the network side device determines that it needs to perform the nRT RIC function
  • the network side device executes the nRT RIC function deployed on the network side device; wherein the nRT RIC function deployed on the network side device is a function that satisfies the nRT RIC distributed deployment characteristic value condition in radio resource management .
  • the above method based on the existing hardware and computing resources on the network side equipment, deploys the function of the radio resource management that satisfies the adjustment of the nRT and RIC distribution deployment characteristic values on the network side equipment, thereby minimizing the base station hardware cost;
  • the functions of the RIC function except those deployed on the network side device are deployed on the cloud platform or all the functions of nRT RIC are deployed on the cloud platform, and the functional requirements of large storage and large calculation are solved through IT technology.
  • the distributed hardware function of the cloud platform realizes the controllable expansion of the scale of the cloud platform, thereby realizing the flexible expansion of the cloud platform part and the flexible growth of computing and storage capabilities, and filling the gap in the nRT RIC deployment plan in the O-RAN alliance.
  • the function that satisfies the nRT RIC distributed deployment characteristic value condition is: a function in which the nRT RIC distributed deployment characteristic value corresponding to the function in the radio resource management is lower than a preset threshold.
  • the nRT RIC distribution deployment characteristic value corresponding to the function is determined by some or all of the following parameters:
  • an nRT RIC function deployment method provided by an embodiment of the present disclosure includes:
  • the cloud platform determines that the nRT RIC function needs to be executed
  • the cloud platform executes the nRT RIC function deployed on the cloud platform; wherein the nRT RIC function deployed on the cloud platform is a function of wireless resource management; or wireless resource management except for deployment on network side equipment Functions other than the above functions; the functions deployed on the network side devices are functions that meet the conditions of nRT RIC distributed deployment characteristic values in radio resource management.
  • the function that satisfies the nRT RIC distributed deployment characteristic value condition is: a function in which the nRT RIC distributed deployment characteristic value corresponding to the function in the radio resource management is lower than the first preset threshold.
  • the nRT RIC distribution deployment characteristic value corresponding to the function is determined by some or all of the following parameters:
  • the embodiments of the present disclosure provide a network-side device that deploys nRT RIC functions, including: a processor and a transceiver:
  • the processor is configured to determine through the transceiver that the nRT RIC function needs to be executed; execute the nRT RIC function deployed on the network side device; wherein the nRT RIC function deployed on the network side device is a wireless resource The function in management that satisfies the nRT RIC distribution and deployment characteristic value conditions.
  • the function satisfying the condition of the nRT RIC distributed deployment characteristic value is: except for functions in which the nRT RIC distributed deployment characteristic value corresponding to the function in the radio resource management of the dynamic resource allocation DRA is lower than the preset threshold.
  • the processor is specifically configured to determine the nRT RIC distribution deployment characteristic value corresponding to the function through some or all of the following parameters:
  • the function of the nRT RIC deployed on the network side device is connected to the protocol stack of the base station through an E2 interface;
  • the function of the nRT RIC deployed on the network side device is connected to the protocol stack of at least one base station through an E2 interface.
  • the embodiments of the present disclosure provide a cloud platform device with nRT RIC function deployment, including a processor and a transceiver:
  • the processor is configured to determine through the transceiver that the nRT RIC function needs to be executed; wherein, the nRT RIC function deployed on the cloud platform is a function of radio resource management; or radio resource management except for deployment on the network side device Functions other than the above functions; the functions deployed on the network side devices are functions that meet the conditions of nRT RIC distributed deployment characteristic values in radio resource management.
  • the function that satisfies the nRT RIC distributed deployment characteristic value condition is: a function in which the nRT RIC distributed deployment characteristic value corresponding to the function in the radio resource management is lower than the first preset threshold.
  • the processor is specifically configured to determine the nRT RIC distribution deployment characteristic value corresponding to the function through some or all of the following parameters:
  • the embodiments of the present disclosure also provide a device for deploying nRT RIC function, and the device includes:
  • At least one processing unit and at least one storage unit wherein the storage unit stores program code, and when the program code is executed by the processing unit, the processing unit executes each of the first aspect or the second aspect.
  • the storage unit stores program code, and when the program code is executed by the processing unit, the processing unit executes each of the first aspect or the second aspect.
  • the embodiments of the present disclosure also provide a computer storable medium on which a computer program is stored, and when the program is executed by a processor, the steps of the method in the first aspect or the second aspect are realized.
  • FIG. 1 is a schematic flowchart of a method for deploying nRT RIC functions provided by an embodiment of the disclosure
  • FIG. 2 is a schematic flowchart of another method for deploying nRT RIC functions provided by an embodiment of the disclosure
  • FIG. 3 is a schematic diagram of a distributed deployment scenario of deployment scheme 1 of an embodiment of the disclosure.
  • FIG. 4 is a schematic diagram of a distributed deployment scenario of deployment solution 2 of the embodiment of the disclosure.
  • FIG. 5 is a schematic structural diagram of the first network-side device deploying nRT RIC function provided by an embodiment of the disclosure
  • Fig. 6 is a schematic structural diagram of a second network-side device deploying nRT RIC function provided by an embodiment of the disclosure
  • FIG. 7 is a schematic structural diagram of the first cloud platform device deploying nRT RIC function provided by an embodiment of the disclosure.
  • FIG. 8 is a schematic structural diagram of a second cloud platform device deploying nRT RIC function provided by an embodiment of the disclosure.
  • network-side device in the embodiments of the present disclosure refers to a macro base station, a micro base station, a server, or a cloud platform that supports the deployment of nRT RIC functions.
  • the nRT RIC function in the embodiments of the present disclosure includes the wireless resource management function described in the 38.300 protocol, except for the dynamic resource allocation (this function is implemented in the MAC scheduler) related wireless resource control functions.
  • this function is implemented in the MAC scheduler
  • the 38.300 protocol The functions included in the described radio resource management are shown in Table 1.
  • the nRT RIC is divided and deployed by function, and the functions that meet the nRT RIC distributed deployment characteristic values can be deployed on the base station, or they can be deployed outside the gNB to minimize the gNB hardware cost.
  • the specific deployment scheme in the embodiments of the present disclosure will be described in further detail below in conjunction with the accompanying drawings of the specification.
  • Deployment scheme 1 Deploy part of the functions on the base station and deploy the other part on the cloud platform.
  • Step 1 Determine the nRT RIC function that can be deployed on the base station
  • a method for deploying nRT RIC functions provided by an embodiment of the present disclosure specifically includes the following steps:
  • Step 100 The network side device determines that it needs to execute the nRT RIC function
  • Step 101 The network-side device executes the nRT RIC function deployed on the network-side device; wherein the nRT RIC function deployed on the network-side device is that the radio resource management satisfies the nRT RIC distributed deployment characteristic value Conditional function.
  • the network side device here refers to the base station, and the base station performs part of the nRT RIC function deployed on the base station. Therefore, to determine the nRT RIC function that can be deployed on the base station, the embodiment of the present disclosure determines the nRT RIC distributed deployment characteristic value, and deploys the algorithm or function that meets the nRT RIC distributed deployment characteristic value condition on the base station, but does not meet the condition The functions are deployed on the cloud platform.
  • some or all of the following parameters need to be used:
  • Real-time performance refers to the time required for a certain function or algorithm to receive the response measurement or detection data after calculation, and then determine the final decision; real-time requirements mean that the real-time performance of the algorithm or function is lower than the first expected Set a threshold, and deploy an algorithm or function that meets the real-time requirements on the base station. If the real-time performance of the algorithm or function is higher than the threshold, the algorithm is deployed outside the base station.
  • the time required from response to decision-making is lower than the first preset threshold (ie, real-time requirement).
  • the first preset threshold ie, real-time requirement.
  • the real-time requirement of the algorithm or function deployed on the base station is less than 10ms.
  • the real-time performance of the load balancing algorithm is 11ms, and the algorithm needs to be deployed outside the base station.
  • the computing power requirement refers to the hardware requirement of a certain function or algorithm.
  • the computing power requirement for the function or algorithm is lower than the second preset threshold. It is understandable that in the solution of deploying nRT RIC functions, functions or algorithms with lower computing power requirements are deployed in base stations, and functions or algorithms with higher computing power requirements are deployed on cloud platforms with higher processing speeds. Reduce the load of the base station and improve the overall performance. Therefore, for algorithms or functions that exceed the second preset threshold value, the embodiments of the present disclosure propose a feasible way to divide the algorithm or function, separate out the non-core parts that require high computing capabilities, and separate the The core part with low computing power is placed on the base station.
  • the core part still exceeds the second preset threshold for the algorithm capability, it can be further decomposed until the atomic layer can no longer be divided, and then the algorithm or the functionally divided atomic layer Part of it is deployed on the base station to realize the controllable cost of the base station.
  • the management and use of storage space is not only a cost issue, but also a power consumption issue. Therefore, for calculations or functions deployed on the base station, the storage space requirements are required to be lower than the third preset threshold. If the threshold is exceeded, the data exceeding the threshold will be stored in the memory outside the base station.
  • the data recorder is added to record the number of times the data is called each time. For calculations or functions deployed on the base station, it is generally required that the frequency of use of the data exceeds the fourth threshold.
  • the fourth threshold is 1000 times/s, data with a frequency exceeding the threshold is placed on the base station to reduce the time for data calling, and data with a frequency lower than the threshold is placed outside the base station.
  • the following four parameters that meet their respective threshold conditions are taken as examples to illustrate the method of calculating the nRT RIC distribution deployment characteristic value of a certain algorithm or function. It is understandable that the above four parameters have different units and are not comparable. Therefore, it is necessary to normalize the above four parameters or map the four parameters separately according to the pre-definition to unify the measurement of the four parameters. After the normalization, perform fitting to determine the eigenvalue formula as follows:
  • k1+k2+k3+k4 1; if the feature value corresponding to the algorithm or function is calculated to be greater than or equal to the preset threshold; then the function or algorithm is placed outside the base station; otherwise, the function or algorithm is deployed on the base station .
  • the above four parameters are ⁇ 2.5 3.5 0.5 1.5 ⁇ ;
  • Method 2 Change the dimensional expression into a non-dimensional expression
  • the dimensional expression is transformed into a dimensionless expression and becomes a scalar.
  • the current load balancing algorithm requires a real-time TC of 10ms for data services in a cell, a computing capacity of 50,000 Cycles per second, and a storage space requirement of BR of 1Gbyte (1024M).
  • the frequency UF of the data used by the business in the small area is 1000 times per second.
  • the intra-cell data service transmission function in the load balancing algorithm can be deployed on the base station.
  • Step 2 Deploy the functions of nRT RIC other than those deployed on the server on the cloud platform;
  • a method for deploying nRT RIC functions provided by an embodiment of the present disclosure specifically includes the following steps:
  • Step 200 The cloud platform determines that the nRT RIC function needs to be executed
  • Step 201 The cloud platform executes the nRT RIC function deployed on the cloud platform; wherein the nRT RIC function deployed on the cloud platform is a function of radio resource management (see deployment plan 2); or radio resource management
  • the functions deployed on the network-side equipment are functions that meet the conditions of nRT RIC distributed deployment characteristic values in radio resource management.
  • FIG. 3 it is a schematic diagram of distributed deployment of the first deployment scheme provided by an embodiment of the present disclosure.
  • the nRT RIC function deployed on the cloud platform is recorded as part1
  • the nRT RIC function deployed on the base station is recorded as part2 (this part is an algorithm or function that satisfies the characteristics of nRT RIC distribution deployment).
  • Part1 and part2 form a complete nRT RIC function.
  • the cloud platform and the base station exchange data through a proprietary interface
  • part2 and the protocol stack in the base station exchange data through a standard and open E2 interface.
  • the base station sends an RB establishment request from RRC to Part2 through a standard E2 interface, and Part2 allocates QoS parameters, transmission mode, administration and mapping rules that meet the needs of the RB for the RB.
  • the above solution deploys the functions of wireless resource management other than those deployed on the network side equipment on the cloud platform, and solves the algorithm or function requirements of large storage and large calculation through IT technology, and uses the distributed hardware of the cloud platform
  • the function realizes the controllable expansion of part1, thus realizing the flexible expansion of part1 and the flexible growth of computing and storage capacity.
  • the core wireless resource management function of the base station is mainly concentrated, and the deployment is basically based on the existing hardware and computing resources on the base station, thereby minimizing the cost of base station hardware.
  • the interface connecting the two parts of part1 and part2 is a proprietary interface (Proprietary Interface), which is mainly used to transfer the private information or parameter interaction between the functions of Part1 and Part2 to ensure the integrity and Exclusive rights and the consistency and unity of the entire nRT RIC.
  • the private interface can be connected through a dedicated physical connection channel, such as a dedicated optical fiber.
  • Deployment plan 2 Deploy part of the functions on the server, and deploy the other part on the cloud platform.
  • the functions that meet the nRT RIC distributed deployment characteristic value conditions in the radio resource management are deployed on the base station.
  • Another feasible implementation is to deploy this part of the function on the server, and the nRT RIC is deployed on the server.
  • Functions other than functions are deployed on the cloud platform; that is to say, all the functions of nRT RIC are not placed on the base station, as shown in FIG. 4, which is a schematic diagram of distributed deployment of the deployment scheme 2 of the embodiment of the disclosure.
  • the method of determining the function that satisfies the nRT RIC distribution and deployment characteristic value conditions can refer to the specific execution steps in the deployment scheme 1, which will not be repeated here.
  • part1 When the function (part2) that satisfies the nRT RIC distributed deployment characteristic value conditions is deployed on the server, part1 is deployed on the cloud platform.
  • the cloud platform interacts with the server through a proprietary interface, and the server communicates with the protocol stack of at least one base station through a standard E2 interface Data interaction, that is, the server can control and manage multiple base stations at the same time.
  • Part1 refers to the functions of nRT RIC other than the functions deployed on the server.
  • the specific implementation method please refer to the content of the cloud platform in part1 of the above deployment plan, which will not be repeated here.
  • an embodiment of the present disclosure provides a network-side device deploying nRT RIC function, including: a processor 500 and a transceiver 501:
  • the processor 500 is configured to determine through the transceiver 501 that the nRT RIC function needs to be executed; execute the nRT RIC function deployed on the network side device; wherein the nRT RIC function deployed on the network side device is The function of radio resource management that satisfies the characteristics of nRT RIC distributed deployment.
  • the function satisfying the condition of the nRT RIC distributed deployment characteristic value is: except for functions in which the nRT RIC distributed deployment characteristic value corresponding to the function in the radio resource management of the dynamic resource allocation DRA is lower than the preset threshold.
  • the processor 500 is specifically configured to determine the nRT RIC distribution deployment characteristic value corresponding to the function through some or all of the following parameters:
  • the function of the nRT RIC deployed on the network side device is connected to the protocol stack of the base station through an E2 interface;
  • the function of the nRT RIC deployed on the network side device is connected to the protocol stack of at least one base station through an E2 interface.
  • the present disclosure provides a network-side device for nRT RIC function deployment.
  • the device includes:
  • nRT RIC function needs to be executed; the nRT RIC function deployed on the network side device is executed; wherein the nRT RIC function deployed on the network side device satisfies the nRT RIC distributed deployment characteristic value condition in radio resource management Function.
  • the function satisfying the condition of the nRT RIC distributed deployment characteristic value is: except for functions in which the nRT RIC distributed deployment characteristic value corresponding to the function in the radio resource management of the dynamic resource allocation DRA is lower than the preset threshold.
  • the processing unit 600 is specifically configured to determine the nRT RIC distribution deployment characteristic value corresponding to the function through some or all of the following parameters:
  • the function of the nRT RIC deployed on the network side device is connected to the protocol stack of the base station through an E2 interface;
  • the function of the nRT RIC deployed on the network side device is connected to the protocol stack of at least one base station through an E2 interface.
  • an embodiment of the present disclosure provides a cloud platform device deploying nRT RIC function, including: a processor 700 and a transceiver 701:
  • the processor 700 is configured to determine through the transceiver 701 that the nRT RIC function needs to be executed; wherein, the nRT RIC function deployed on the cloud platform is a function of wireless resource management; or wireless resource management except for deployment in the network Functions other than the functions on the side device; the functions deployed on the network side device are functions that meet the conditions of the nRT RIC distributed deployment characteristic value in the radio resource management.
  • the function that satisfies the nRT RIC distributed deployment characteristic value condition is: a function in which the nRT RIC distributed deployment characteristic value corresponding to the function in the radio resource management is lower than the first preset threshold.
  • the processor 700 is specifically configured to determine the nRT RIC distribution deployment characteristic value corresponding to the function through some or all of the following parameters:
  • the present disclosure provides a cloud platform device for nRT RIC function deployment, and the device includes:
  • the nRT RIC function deployed on the cloud platform is a function of radio resource management; or a function of radio resource management other than the function deployed on the network side device;
  • the function on the network side device is the function that satisfies the nRT RIC distributed deployment characteristic value condition in the radio resource management.
  • the function that satisfies the nRT RIC distributed deployment characteristic value condition is: a function in which the nRT RIC distributed deployment characteristic value corresponding to the function in the radio resource management is lower than the first preset threshold.
  • the processing unit 800 is specifically configured to determine the nRT RIC distribution deployment characteristic value corresponding to the function through some or all of the following parameters:
  • the various aspects of deploying nRT RIC functions provided by the embodiments of the present disclosure can also be implemented in the form of a program product, which includes program code.
  • the program code runs on a computer device, The program code is used to make the computer device execute the steps in the method for deploying nRT RIC functions according to various exemplary embodiments of the present disclosure described in this specification.
  • the program product can use any combination of one or more readable media.
  • the readable medium may be a readable signal medium or a readable storage medium.
  • the readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any combination of the above. More specific examples (non-exhaustive list) of readable storage media include: electrical connections with one or more wires, portable disks, hard disks, random access memory (RAM), read only memory (ROM), erasable Type programmable read only memory (EPROM or flash memory), optical fiber, portable compact disk read only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the above.
  • the program product for deploying the nRT RIC function may adopt a portable compact disk read-only memory (CD-ROM) and include program code, and may run on a server device.
  • CD-ROM portable compact disk read-only memory
  • the program product of the present disclosure is not limited thereto.
  • the readable storage medium can be any tangible medium that contains or stores a program, and the program can be used by or in combination with an information transmission, device, or device.
  • the readable signal medium may include a data signal propagated in baseband or as a part of a carrier wave, and readable program code is carried therein. This propagated data signal can take many forms, including, but not limited to, electromagnetic signals, optical signals, or any suitable combination of the foregoing.
  • the readable signal medium may also be any readable medium other than a readable storage medium, and the readable medium may send, propagate, or transmit a program for use by or in combination with a periodic network action system, apparatus, or device.
  • the program code contained on the readable medium can be transmitted by any suitable medium, including, but not limited to, wireless, wired, optical cable, RF, etc., or any suitable combination of the above.
  • the program code used to perform the operations of the present disclosure can be written in any combination of one or more programming languages.
  • the programming languages include object-oriented programming languages—such as Java, C++, etc., as well as conventional procedural styles. Programming language-such as "C" language or similar programming language.
  • the program code can be executed entirely on the user's computing device, partly on the user's device, executed as an independent software package, partly on the user's computing device and partly executed on the remote computing device, or entirely on the remote computing device or server Executed on.
  • the remote computing device may be connected to a user computing device through any kind of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computing device.
  • LAN local area network
  • WAN wide area network
  • the embodiment of the present disclosure also provides a storage medium readable by a computing device for the method for deploying the nRT RIC function, that is, the content is not lost after a power failure.
  • the storage medium stores a software program, including program code, and when the program code runs on a computing device, the software program can implement any of the above embodiments of the present disclosure when it is read and executed by one or more processors.
  • the embodiment of the present disclosure also provides a computing device-readable storage medium for the method for deploying the nRT RIC function, that is, the content is not lost after power off.
  • the storage medium stores a software program, including program code, and when the program code runs on a computing device, the software program can implement any of the above embodiments of the present disclosure when it is read and executed by one or more processors The solution to deploy the nRT RIC function.
  • this application may take the form of a computer program product on a computer-usable or computer-readable storage medium, which has computer-usable or computer-readable program code implemented in the medium to be used or used by the instruction execution system. Used in conjunction with the instruction execution system.
  • a computer-usable or computer-readable medium can be any medium that can contain, store, communicate, transmit, or transmit a program for use by an instruction execution system, device, or device, or in combination with an instruction execution system, Device or equipment use.

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Abstract

本公开提供一种部署nRT RIC功能的方法和设备。该部署nRT RIC功能的方法包括：网络侧设备确定需要执行近实时无线智能控制器nRT RIC功能；所述网络侧设备执行部署在所述网络侧设备上的nRT RIC功能；其中，所述部署在所述网络侧设备上的nRT RIC功能是无线资源管理中满足nRT RIC分布部署特征值条件的功能。

Description

部署nRT RIC功能的方法和设备
相关申请的交叉引用
本申请主张在2019年1月30日在中国提交的中国专利申请号No.201910090585.3的优先权，其全部内容通过引用包含于此。
技术领域
本公开涉及通信技术领域，特别涉及一种部署nRT RIC功能的方法和设备。
背景技术
今年2月份，在巴塞罗那世界移动大会期间，xRAN(Radio Access Network，无线接入网)论坛与C-RAN联盟宣布合并组成全球性的开放式RAN(O-RAN)联盟。
所谓O-RAN，即Open RAN，无线接入网从D-RAN(分布式RAN)到C-RAN(集中式RAN)，再到v-RAN(虚拟化或云化RAN)，如今正式开始演进到O-RAN(开放式RAN)时代。
其中，ORAN的一个重要研究方向是利用人工智能技术提升无线资源管理和无线传输技术的环境适应性，利用机器学习让无线设备在不同的场景下更好地适应环境需要，提升网络性能的同时，更好地满足未来5G复杂的应用场景需求。比如，O-RAN提出的近实时的无线智能控制器(Near Real-Time Radio Intelligent Controller，nRT RIC)功能，nRT RIC包含38.300协议中描述的无线资源管理(Radio Resource Management，RRM)功能中除去动态资源分配(Dynamic Resource Allocation，DRA)相关的无线资源控制，O-RAN提出在nRT RIC中引入人工智能技术，在大数据和人工智能的驱动下，实现对无线资源的智能化管理，提升设备对复杂环境的适应性。
O-RAN对于nRT RIC功能的构思尚在理论阶段，如何部署nRT RIC成为证明nRT RIC合理性的关键，目前还没有nRT RIC的实际部署方案。
综上所述，相关技术中还没有nRT RIC的部署方案。
发明内容
本公开提供一种部署nRT RIC功能的方法和设备，用以解决相关技术中还没有nRT RIC的部署方案的问题。
第一方面，本公开实施例提供的一种部署nRT RIC功能的方法包括：
网络侧设备确定需要执行nRT RIC功能；
所述网络侧设备执行部署在所述网络侧设备上的nRT RIC功能；其中，所述部署在所述网络侧设备上的nRT RIC功能是无线资源管理中满足nRT RIC分布部署特征值条件的功能。
上述方法，基于目前网络侧设备上已有的硬件和计算资源，将无线资源管理中满足nRT RIC分布部署特征值调节的功能部署在网络侧设备上，从而实现了基站硬件成本最小化；将nRT RIC功能中除部署在网络侧设备上的功能之外的功能部署在云平台上或将nRT RIC全部功能部署在云平台上，通过IT技术解决大存储、大计算量的功能需求，通过云平台的分布式硬件功能实现云平台的规模可控扩展，从而实现了云平台部分的灵活扩展和计算能力、存储能力的灵活增长，填补了O-RAN联盟中nRT RIC部署方案的空白。
在一种可选的实施方式中，所述满足nRT RIC分布部署特征值条件的功能为：无线资源管理中的功能对应的nRT RIC分布部署特征值低于预设阈值的功能。
在一种可选的实施方式中，通过下列参数中的部分或全部参数确定所述功能对应的nRT RIC分布部署特征值：
所述功能的实时性要求；
所述功能的计算能力要求；
所述功能的存储空间需求；
所述功能所用数据被使用的频度。
第二方面，本公开实施例提供的一种nRT RIC功能部署的方法包括：
云平台确定需要执行nRT RIC功能；
所述云平台执行部署在所述云平台上的nRT RIC功能；其中，所述部署在所述云平台上的nRT RIC功能是无线资源管理的功能；或无线资源管理中 除部署在网络侧设备上的功能之外的功能；部署在网络侧设备上的功能是无线资源管理中满足nRT RIC分布部署特征值条件的功能。
在一种可选的实施方式中，所述满足nRT RIC分布部署特征值条件的功能为：无线资源管理中的功能对应的nRT RIC分布部署特征值低于第一预设阈值的功能。
在一种可选的实施方式中，通过下列参数中的部分或全部参数确定所述功能对应的nRT RIC分布部署特征值：
所述功能的实时性要求；
所述功能的计算能力要求；
所述功能的存储空间需求；
所述功能所用数据被使用的频度。
第三方面，本公开实施例提供一种部署nRT RIC功能的网络侧设备，包括：处理器以及收发机：
所述处理器，用于通过收发机确定需要执行nRT RIC功能；执行部署在所述网络侧设备上的nRT RIC功能；其中，所述部署在所述网络侧设备上的nRT RIC功能是无线资源管理中满足nRT RIC分布部署特征值条件的功能。
可选的，所述满足nRT RIC分布部署特征值条件的功能为：除动态资源分配DRA的无线资源管理中的功能对应的nRT RIC分布部署特征值低于预设阈值的功能。
可选的，所述处理器，具体用于通过下列参数中的部分或全部参数确定所述功能对应的nRT RIC分布部署特征值：
所述功能的实时性要求；
所述功能的计算能力要求；
所述功能的存储空间需求；
所述功能所用数据被使用的频度。
可选的，若所述网络侧设备为基站，则网络侧设备上部署的nRT RIC的功能通过E2接口与所述基站的协议栈连接；或
若所述网络侧设备为服务器或云平台，则网络侧设备上部署的nRT RIC的功能通过E2接口与至少一个基站的协议栈连接。
第四方面，本公开实施例提供一种nRT RIC功能部署的云平台设备，包括：处理器以及收发机：
所述处理器，用于通过收发机确定需要执行nRT RIC功能；其中，所述部署在所述云平台上的nRT RIC功能是无线资源管理的功能；或无线资源管理中除部署在网络侧设备上的功能之外的功能；部署在网络侧设备上的功能是无线资源管理中满足nRT RIC分布部署特征值条件的功能。
可选的，所述满足nRT RIC分布部署特征值条件的功能为：无线资源管理中的功能对应的nRT RIC分布部署特征值低于第一预设阈值的功能。
可选的，所述处理器具体用于通过下列参数中的部分或全部参数确定所述功能对应的nRT RIC分布部署特征值：
所述功能的实时性要求；
所述功能的计算能力要求；
所述功能的存储空间需求；
所述功能所用数据被使用的频度。
第五方面，本公开实施例还提供一种部署nRT RIC功能的设备，该设备包括：
至少一个处理单元以及至少一个存储单元，其中，所述存储单元存储有程序代码，当所述程序代码被所述处理单元执行时，使得所述处理单元执行上述第一方面或第二方面的各实施例的功能。
第六方面，本公开实施例还提供一种计算机可存储介质，其上存储有计算机程序，该程序被处理器执行时实现上述第一方面或第二方面方法的步骤。
另外，第三方面至第六方面中任一一种实现方式所带来的技术效果可参见第一方面和第二方面中不同实现方式所带来的技术效果，此处不再赘述。
附图说明
为了更清楚地说明本公开实施例中的技术方案，下面将对实施例描述中所需要使用的附图作简要介绍，显而易见地，下面描述中的附图仅仅是本公开的一些实施例，对于本领域的普通技术人员来讲，在不付出创造性劳动性的前提下，还可以根据这些附图获得其他的附图。
图1为本公开实施例提供的一种部署nRT RIC功能的方法流程示意图；
图2为本公开实施例提供的另一种部署nRT RIC功能的方法流程示意图；
图3为本公开实施例部署方案一的分布部署场景示意图；
图4为本公开实施例部署方案二的分布部署场景示意图；
图5为本公开实施例提供的第一种部署nRT RIC功能的网络侧设备的结构示意图；
图6为本公开实施例提供的第二种部署nRT RIC功能的网络侧设备的结构示意图；
图7为本公开实施例提供的第一种部署nRT RIC功能的云平台设备的结构示意图；
图8为本公开实施例提供的第二种部署nRT RIC功能的云平台设备的结构示意图。
具体实施方式
为了使本公开的目的、技术方案和优点更加清楚，下面将结合附图对本公开作进一步地详细描述，显然，所描述的实施例仅仅是本公开一部份实施例，而不是全部的实施例。基于本公开中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其它实施例，都属于本公开保护的范围。
下面对文中出现的一些词语进行解释：
1、本公开实施例中术语“和/或”，描述关联对象的关联关系，表示可以存在三种关系，例如，A和/或B，可以表示：单独存在A，同时存在A和B，单独存在B这三种情况。字符“/”一般表示前后关联对象是一种“或”的关系。
2、本公开实施例中术语“网络侧设备”是指支持部署nRT RIC功能的宏基站、微基站、服务器或云平台等。
本公开实施例中的nRT RIC功能包含38.300协议中描述的无线资源管理功能中除去动态资源分配(这个功能是放置到MAC的调度器中实现的)相关的无线资源控制功能，其中，38.300协议中描述的无线资源管理包含的功能 详见表1。
Figure PCTCN2020070661-appb-000001
表1
本公开实施例，将照nRT RIC按功能进行分割部署，可以将满足nRT RIC分布部署特征值的功能部署在基站上，也可以将其部署于gNB之外，以实现gNB硬件成本最小化。下面结合说明书附图对本公开实施例中具体的部署方案做进一步详细描述。
部署方案一：将一部分功能部署在基站上，另一部分功能部署在云平台上。
步骤一：确定能够部署在基站上的nRT RIC功能；
如图1所示，本公开实施例提供的一种部署nRT RIC功能的方法，具体包括一下步骤：
步骤100，网络侧设备确定需要执行nRT RIC功能；
步骤101，所述网络侧设备执行部署在所述网络侧设备上的nRT RIC功能；其中，所述部署在所述网络侧设备上的nRT RIC功能是无线资源管理中满足nRT RIC分布部署特征值条件的功能。
可以理解的是，这里的网络侧设备指的是基站，基站执行部署在基站上的部分nRT RIC功能。因此，要确定能够部署在基站上的nRT RIC功能，本 公开实施例通过nRT RIC分布部署特征值进行确定，将满足nRT RIC分布部署特征值条件的算法或功能部署在基站上，不满足该条件的功能部署在云平台上。在确定某算法或功能对应的nRT RIC分布部署特征值时，需要用到如下参数中的部分或全部：
1、实时性要求(记为TC(Time Constrint))；
实时性是指，某功能或算法在接收到响应的测量或者检测数据，经过计算，再到确定出最后的决策所需时间；实时性要求是指该算法或功能的实时性低于第一预设门限值，将满足实时性要求的算法或功能部署在基站上，若算法或功能的实时性高于该门限值，则将该算法部署在基站外。
一般要求从响应到决策所需时间(即实时性)低于第一预设门限值(即实时性要求)，比如，要求部署在基站上的算法或功能的实时性要求低于10ms，若负载均衡算法的实时性为11ms，则需要将该算法部署在基站之外。
2、计算能力要求(记为CC(Computing Capability))；
计算能力要求是指，某功能或算法对硬件的要求，一般对于功能或算法的计算能力要求低于第二预设门限值。可以理解的是，在部署nRT RIC功能的方案中，将计算能力要求较低的功能或算法部署基站，将计算能力要求较高的功能或算法部署在具有更高处理速度的云平台上，以减少基站的负荷，提升整体性能。因此，对于超过第二预设门限值的算法或功能，本公开实施例提出一种可行的方式，将该算法或功能进行分割，把对计算能力要求高的非核心部分分离出去，把对计算能力低的核心部分放到基站上，若核心部分对于算法能力要求仍超过第二预设门限，还可以进一步分解到原子层无法再进行分割之后，再针对该算法或功能分割后的原子层的部分部署到基站上，以实现基站成本的可控。
3、存储空间需求(记为BR(Buffer Request))；
可以理解的是，存储空间的管理和使用不仅是成本问题，还设计到功耗的问题，因此，对于部署到基站上的计算或功能，要求其存储空间需求低于第三预设门限值，若超过该门限值，则将超过门限值的数据放到基站外面的存储器中。
4、数据被使用的频度(记为UF(Used Frequency))；
通过增加的数据记录器记录该数据每次被调用的次数，对于部署到基站上的计算或功能，一般要求其所用数据的使用频度超过第四门限值，比如，第四门限值为1000次/s，频度超过该门限值的数据放到基站上，以减少数据调用的时间，频度低于该门限值的数据放到基站以外。
下面以满足各自门限值条件的四个参数为例，对计算某算法或功能的nRT RIC分布部署特征值的方式进行说明，可以理解的是，上述四个参数各自单位不同，不具有可比性，因此要将上述四个参数进行归一化处理或者按照预定义将四个参数分别进行映射，以统一四个参数的量度，归一化处理后再进行拟合确定特征值公式如下：
R Split＝k 1*TC+k 2*CC+k 3*BR+k 4*UF,
其中：k1+k2+k3+k4＝1；如果计算得到该算法或功能对应的特征值≥预设阈值；则将该功能或算法放到基站以外；否则，将该功能或算法部署到基站上。
将TC、CC、BR、UF进行归一化处理的方式很多，下面举例说明：
方式1，把上述参数转化为(0，1)之间的小数；
通过下列公式进行转化：
TC/(TC+CC+BR+UF)；
CC/(TC+CC+BR+UF)；
BR/(TC+CC+BR+UF)；
UF/(TC+CC+BR+UF)；
比如，上述四参数为{2.5 3.5 0.5 1.5}；
解：2.5+3.5+0.5+1.5＝8；
2.5/8＝0.3125；
3.5/8＝0.4375；
0.5/8＝0.0625；
1.5/8＝0.1875；
归一化后变成了{0.3125 0.4375 0.0625 0.1875}，这个归一化就是将括号里面的总和变成1.然后写出每个数的比例。
方式2，将有量纲表达式变为无量纲表达式；
将有量纲的表达式，经过变换，化为无量纲的表达式，成为纯量。
下面以负载均衡算法为例，对如何确定该算法对应的nRT RIC分布部署特征值的进行说明：
比如，假设预设阈值为0.8，目前的负载均衡算法，小区内的数据业务要求的实时性TC为10ms，计算能力要求CC为5万个Cycle每秒，存储空间需求BR为1Gbyte(1024M)，小区内的业务所用数据被使用的频度UF为1000次每秒，则对这四个参数进行归一化处理后，得到：
TC＝10/(10+50000+1024+1000)＝10/52034；
CC＝50000/(10+50000+1024+1000)＝50000/52034；
BR＝1024/(10+50000+1024+1000)＝1024/52034；
UF＝1000/(10+50000+1024+1000)＝1000/52034；
再根据下列公式确定该算法对应的nRT RIC分布部署特征值：
R Split＝k 1*TC+k 2*CC+k 3*BR+k 4*UF，其中，k1+k2+k3+k4＝1；
假设k1＝1/2，k2＝k4＝1/8，k3＝1/4；经计算得到，该算法对应的nRT RIC分布部署特征值为：
1/2*10/52034+1/8*50000/52034+1/4*1024/52034+1/8*1000/52034＝6636/52034≈0.13。
根据将所述特征值≥预设阈值的算法或功能部署在基站之外的原则，由于0.13＜0.8，因此可以将负载均衡算法中小区内数据业务传输功能部署在基站上。
需要说明的是，对于k1、k2、k3、k4以及预设阈值和上述参与计算特征值的四个参数各自的门限值可以通过仿真的方式得到。
步骤二：将nRT RIC中除部署在服务器的功能之外的功能部署在云平台上；
如图2所示，本公开实施例提供的一种部署nRT RIC功能的方法，具体包括一下步骤：
步骤200，云平台确定需要执行nRT RIC功能；
步骤201，云平台执行部署在所述云平台上的nRT RIC功能；其中，所述部署在所述云平台上的nRT RIC功能是无线资源管理的功能(参见部署方 案二)；或无线资源管理中除部署在网络侧设备上的功能之外的功能；部署在网络侧设备上的功能是无线资源管理中满足nRT RIC分布部署特征值条件的功能。
如图3所示，为本公开实施例提供的部署方案一的分布部署示意图；
其中，部署在云平台的nRT RIC功能记为part1，部署在基站的nRT RIC功能记为part2(此部分为满足nRT RIC分布部署特征值的算法或功能)，part1和part2组成完整的nRT RIC功能；其中，云平台和基站通过专有接口进行数据交互；基站中part2和协议栈通过标准、开放的E2接口进行数据交互。
比如，基站要通过RRC建立一个DRB，则基站通过标准E2接口由RRC向Part2部分发送RB建立请求，Part2部分为RB分配符合该RB需要的QoS参数、传输模式、服用和映射规则等。
上述方案，将无线资源管理中除部署在网络侧设备上的功能之外的功能部署在云平台上，通过IT技术解决大存储、大计算量的算法或功能需求，通过云平台的分布式硬件功能实现part1的规模可控扩展，从而实现了part1部分的灵活扩展和计算能力、存储能力的灵活增长。
对于Part2部分，则主要集中了基站最核心的无线资源管理功能，基本上基于目前基站上已有的硬件和计算资源进行部署，从而实现了基站硬件成本最小化。
其中，连接part1和part2两部分的接口为专有接口(Proprietary Interface)，主要用于传递Part1和Part2两部分功能之间切分后的私有信息或者参数的交互，以确保厂家算法的完整性和专属权以及整个nRT RIC的一致性和统一性。该私有接口可以通过专用的物理连接通道，如专门的光纤进行连接。
部署方案二：将一部分功能部署在服务器上，另一部分功能部署在云平台上。
上述实施例中将无线资源管理中满足nRT RIC分布部署特征值条件的功能部署在基站上，另一种可行的实施方式是将这部分功能部署在服务器上，将nRT RIC中除部署在服务器的功能之外的功能部署在云平台上；也就是说nRT RIC的功能全部不放在基站上，如图4所示，为本公开实施例部署方案二的分布部署示意图。
其中，确定满足nRT RIC分布部署特征值条件的功能的方式可参见部署方案一中的具体执行步骤，此处不再赘述。
将满足nRT RIC分布部署特征值条件的功能(part2)部署在服务器时，part1部署在云平台，云平台通过专有接口与服务器进行数据交互，服务器通过标准E2接口与至少一个基站的协议栈进行数据交互，即服务器可以同时控制管理多个基站。
Part1部分为nRT RIC中除部署在服务器的功能之外的功能，具体执行方式可以参见上述部署方案一中part1部分云平台的内容，此处不再赘述。
需要说明的是，部署方案二中部署在服务器上的功能还可以部署在其他云平台上或部署在part1部分的云平台上。
如图5所示，本公开实施例提供一种部署nRT RIC功能的网络侧设备，包括：处理器500以及收发机501：
所述处理器500，用于通过收发机501确定需要执行nRT RIC功能；执行部署在所述网络侧设备上的nRT RIC功能；其中，所述部署在所述网络侧设备上的nRT RIC功能是无线资源管理中满足nRT RIC分布部署特征值条件的功能。
可选的，所述满足nRT RIC分布部署特征值条件的功能为：除动态资源分配DRA的无线资源管理中的功能对应的nRT RIC分布部署特征值低于预设阈值的功能。
可选的，所述处理器500，具体用于通过下列参数中的部分或全部参数确定所述功能对应的nRT RIC分布部署特征值：
所述功能的实时性要求；
所述功能的计算能力要求；
所述功能的存储空间需求；
所述功能所用数据被使用的频度。
可选的，若所述网络侧设备为基站，则网络侧设备上部署的nRT RIC的功能通过E2接口与所述基站的协议栈连接；或
若所述网络侧设备为服务器或云平台，则网络侧设备上部署的nRT RIC的功能通过E2接口与至少一个基站的协议栈连接。
如图6所示，本公开提供一种nRT RIC功能部署的网络侧设备，该设备包括：
至少一个处理单元600以及至少一个存储单元601，其中，所述存储单元601存储有程序代码，当所述程序代码被所述处理单元600执行时，使得所述处理单元600执行下列过程：
确定需要执行nRT RIC功能；执行部署在所述网络侧设备上的nRT RIC功能；其中，所述部署在所述网络侧设备上的nRT RIC功能是无线资源管理中满足nRT RIC分布部署特征值条件的功能。
可选的，所述满足nRT RIC分布部署特征值条件的功能为：除动态资源分配DRA的无线资源管理中的功能对应的nRT RIC分布部署特征值低于预设阈值的功能。
可选的，所述处理单元600具体用于通过下列参数中的部分或全部参数确定所述功能对应的nRT RIC分布部署特征值：
所述功能的实时性要求；
所述功能的计算能力要求；
所述功能的存储空间需求；
所述功能所用数据被使用的频度。
可选的，若所述网络侧设备为基站，则网络侧设备上部署的nRT RIC的功能通过E2接口与所述基站的协议栈连接；或
若所述网络侧设备为服务器或云平台，则网络侧设备上部署的nRT RIC的功能通过E2接口与至少一个基站的协议栈连接。
如图7所示，本公开实施例提供一种部署nRT RIC功能的云平台设备，包括：处理器700以及收发机701：
所述处理器700，用于通过收发机701确定需要执行nRT RIC功能；其中，所述部署在所述云平台上的nRT RIC功能是无线资源管理的功能；或无线资源管理中除部署在网络侧设备上的功能之外的功能；部署在网络侧设备上的功能是无线资源管理中满足nRT RIC分布部署特征值条件的功能。
可选的，所述满足nRT RIC分布部署特征值条件的功能为：无线资源管理中的功能对应的nRT RIC分布部署特征值低于第一预设阈值的功能。
可选的，所述处理器700，具体用于通过下列参数中的部分或全部参数确定所述功能对应的nRT RIC分布部署特征值：
所述功能的实时性要求；
所述功能的计算能力要求；
所述功能的存储空间需求；
所述功能所用数据被使用的频度。
如图8所示，本公开提供一种nRT RIC功能部署的云平台设备，该设备包括：
至少一个处理单元800以及至少一个存储单元801，其中，所述存储单元801存储有程序代码，当所述程序代码被所述处理单元800执行时，使得所述处理单元800执行下列过程：
确定需要执行nRT RIC功能；其中，所述部署在所述云平台上的nRT RIC功能是无线资源管理的功能；或无线资源管理中除部署在网络侧设备上的功能之外的功能；部署在网络侧设备上的功能是无线资源管理中满足nRT RIC分布部署特征值条件的功能。
可选的，所述满足nRT RIC分布部署特征值条件的功能为：无线资源管理中的功能对应的nRT RIC分布部署特征值低于第一预设阈值的功能。
可选的，所述处理单元800具体用于通过下列参数中的部分或全部参数确定所述功能对应的nRT RIC分布部署特征值：
所述功能的实时性要求；
所述功能的计算能力要求；
所述功能的存储空间需求；
所述功能所用数据被使用的频度。
在一些可能的实施方式中，本公开实施例提供的部署nRT RIC功能的各个方面还可以实现为一种程序产品的形式，其包括程序代码，当所述程序代码在计算机设备上运行时，所述程序代码用于使所述计算机设备执行本说明书中描述的根据本公开各种示例性实施方式的部署nRT RIC功能的方法中的步骤。
所述程序产品可以采用一个或多个可读介质的任意组合。可读介质可以 是可读信号介质或者可读存储介质。可读存储介质例如可以是——但不限于——电、磁、光、电磁、红外线、或半导体的系统、装置或器件，或者任意以上的组合。可读存储介质的更具体的例子(非穷举的列表)包括：具有一个或多个导线的电连接、便携式盘、硬盘、随机存取存储器(RAM)、只读存储器(ROM)、可擦式可编程只读存储器(EPROM或闪存)、光纤、便携式紧凑盘只读存储器(CD-ROM)、光存储器件、磁存储器件、或者上述的任意合适的组合。
根据本公开的实施方式的用于进行部署nRT RIC功能的程序产品，其可以采用便携式紧凑盘只读存储器(CD-ROM)并包括程序代码，并可以在服务器设备上运行。然而，本公开的程序产品不限于此，在本文件中，可读存储介质可以是任何包含或存储程序的有形介质，该程序可以被信息传输、装置或者器件使用或者与其结合使用。
可读信号介质可以包括在基带中或者作为载波一部分传播的数据信号，其中承载了可读程序代码。这种传播的数据信号可以采用多种形式，包括——但不限于——电磁信号、光信号或上述的任意合适的组合。可读信号介质还可以是可读存储介质以外的任何可读介质，该可读介质可以发送、传播或者传输用于由周期网络动作系统、装置或者器件使用或者与其结合使用的程序。
可读介质上包含的程序代码可以用任何适当的介质传输，包括——但不限于——无线、有线、光缆、RF等等，或者上述的任意合适的组合。
可以以一种或多种程序设计语言的任意组合来编写用于执行本公开操作的程序代码，所述程序设计语言包括面向对象的程序设计语言—诸如Java、C++等，还包括常规的过程式程序设计语言—诸如“C”语言或类似的程序设计语言。程序代码可以完全地在用户计算设备上执行、部分地在用户设备上执行、作为一个独立的软件包执行、部分在用户计算设备上部分在远程计算设备上执行、或者完全在远程计算设备或服务器上执行。在涉及远程计算设备的情形中，远程计算设备可以通过任意种类的网络——包括局域网(LAN)或广域网(WAN)—连接到用户计算设备，或者，可以连接到外部计算设备。
本公开实施例针对进行部署nRT RIC功能的方法还提供一种计算设备可 读存储介质，即断电后内容不丢失。该存储介质中存储软件程序，包括程序代码，当所述程序代码在计算设备上运行时，该软件程序在被一个或多个处理器读取并执行时可实现本公开实施例上面任何一种部署nRT RIC功能的网络侧设备的方案。
本公开实施例针对部署nRT RIC功能的方法还提供一种计算设备可读存储介质，即断电后内容不丢失。该存储介质中存储软件程序，包括程序代码，当所述程序代码在计算设备上运行时，该软件程序在被一个或多个处理器读取并执行时可实现本公开实施例上面任何一种部署nRT RIC功能的方案。
以上参照示出根据本申请实施例的方法、装置(系统)和/或计算机程序产品的框图和/或流程图描述本申请。应理解，可以通过计算机程序指令来实现框图和/或流程图示图的一个块以及框图和/或流程图示图的块的组合。可以将这些计算机程序指令提供给通用计算机、专用计算机的处理器和/或其它可编程数据处理装置，以产生机器，使得经由计算机处理器和/或其它可编程数据处理装置执行的指令创建用于实现框图和/或流程图块中所指定的功能/动作的方法。
相应地，还可以用硬件和/或软件(包括固件、驻留软件、微码等)来实施本申请。更进一步地，本申请可以采取计算机可使用或计算机可读存储介质上的计算机程序产品的形式，其具有在介质中实现的计算机可使用或计算机可读程序代码，以由指令执行系统来使用或结合指令执行系统而使用。在本申请上下文中，计算机可使用或计算机可读介质可以是任意介质，其可以包含、存储、通信、传输、或传送程序，以由指令执行系统、装置或设备使用，或结合指令执行系统、装置或设备使用。
显然，本领域的技术人员可以对本公开进行各种改动和变型而不脱离本公开的精神和范围。这样，倘若本公开的这些修改和变型属于本公开权利要求及其等同技术的范围之内，则本公开也意图包含这些改动和变型在内。

Claims (16)

  1. 一种部署nRT RIC功能的方法，包括：
    网络侧设备确定需要执行近实时无线智能控制器nRT RIC功能；
    所述网络侧设备执行部署在所述网络侧设备上的nRT RIC功能；其中，所述部署在所述网络侧设备上的nRT RIC功能是无线资源管理中满足nRT RIC分布部署特征值条件的功能。
  2. 如权利要求1所述的方法，其中，所述满足nRT RIC分布部署特征值条件的功能为：无线资源管理中的功能对应的nRT RIC分布部署特征值低于预设阈值的功能。
  3. 如权利要求2所述的方法，其中，通过下列参数中的部分或全部参数确定所述功能对应的nRT RIC分布部署特征值：
    所述功能的实时性要求；
    所述功能的计算能力要求；
    所述功能的存储空间需求；
    所述功能所用数据被使用的频度。
  4. 如权利要求1所述的方法，其中，若所述网络侧设备为基站，则所述网络侧设备上部署的nRT RIC的功能通过E2接口与所述基站的协议栈连接；或
    若所述网络侧设备为服务器或云平台，则所述网络侧设备上部署的nRT RIC的功能通过E2接口与至少一个基站的协议栈连接。
  5. 一种nRT RIC功能部署的方法，包括：
    云平台确定需要执行nRT RIC功能；
    所述云平台执行部署在所述云平台上的nRT RIC功能；其中，所述部署在所述云平台上的nRT RIC功能是无线资源管理的功能；或无线资源管理中除部署在网络侧设备上的功能之外的功能；部署在网络侧设备上的功能是无线资源管理中满足nRT RIC分布部署特征值条件的功能。
  6. 如权利要求5所述的方法，其中，所述满足nRT RIC分布部署特征值条件的功能为：无线资源管理中的功能对应的nRT RIC分布部署特征值低于 第一预设阈值的功能。
  7. 如权利要求6所述的方法，其中，通过下列参数中的部分或全部参数确定所述功能对应的nRT RIC分布部署特征值：
    所述功能的实时性要求；
    所述功能的计算能力要求；
    所述功能的存储空间需求；
    所述功能所用数据被使用的频度。
  8. 一种部署nRT RIC功能的网络侧设备，包括：处理器以及收发机：
    所述处理器，用于通过收发机确定需要执行nRT RIC功能；执行部署在所述网络侧设备上的nRT RIC功能；其中，所述部署在所述网络侧设备上的nRT RIC功能是无线资源管理中满足nRT RIC分布部署特征值条件的功能。
  9. 如权利要求8所述的网络侧设备，其中，所述满足nRT RIC分布部署特征值条件的功能为：除动态资源分配DRA的无线资源管理中的功能对应的nRT RIC分布部署特征值低于预设阈值的功能。
  10. 如权利要求9所述的网络侧设备，其中，所述处理器具体用于通过下列参数中的部分或全部参数确定所述功能对应的nRT RIC分布部署特征值：
    所述功能的实时性要求；
    所述功能的计算能力要求；
    所述功能的存储空间需求；
    所述功能所用数据被使用的频度。
  11. 如权利要求8所述的网络侧设备，其中，若所述网络侧设备为基站，则网络侧设备上部署的nRT RIC的功能通过E2接口与所述基站的协议栈连接；或
    若所述网络侧设备为服务器或云平台，则网络侧设备上部署的nRT RIC的功能通过E2接口与至少一个基站的协议栈连接。
  12. 一种nRT RIC功能部署的云平台设备，包括：处理器以及收发机：
    所述处理器，用于通过收发机确定需要执行nRT RIC功能；其中，所述部署在所述云平台上的nRT RIC功能是无线资源管理的功能；或无线资源管理中除部署在网络侧设备上的功能之外的功能；部署在网络侧设备上的功能 是无线资源管理中满足nRT RIC分布部署特征值条件的功能。
  13. 如权利要求12所述的云平台设备，其中，所述满足nRT RIC分布部署特征值条件的功能为：无线资源管理中的功能对应的nRT RIC分布部署特征值低于第一预设阈值的功能。
  14. 如权利要求13所述的云平台设备，其中，所述处理器具体用于通过下列参数中的部分或全部参数确定所述功能对应的nRT RIC分布部署特征值：
    所述功能的实时性要求；
    所述功能的计算能力要求；
    所述功能的存储空间需求；
    所述功能所用数据被使用的频度。
  15. 一种部署nRT RIC功能的设备，包括：至少一个处理单元以及至少一个存储单元，其中，所述存储单元存储有程序代码，当所述程序代码被所述处理单元执行时，使得所述处理单元执行权利要求1～4任一项所述方法的步骤或权利要求5～7任一所述方法的步骤。
  16. 一种计算机可存储介质，其上存储有计算机程序，该程序被处理器执行时实现如权利要求1～4任一项所述方法的步骤或权利要求5～7任一项所述方法的步骤。
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