CN-122002317-A - Apparatus in wireless communication system and method for performing the same

Abstract

An apparatus in a wireless communication system and a method performed thereby are provided. The method includes the steps of obtaining first information from a base station, wherein the first information comprises at least one of capability related information, measurement related information or performance related indexes, obtaining second information from an application server, wherein the second information comprises information related to user mobility, obtaining an artificial intelligence/machine learning (AI/ML) model based on the first information and the second information, and determining a transmission mode of User Equipment (UE) based on the obtained AI/ML model, wherein the transmission mode comprises single user multiple input multiple output (SU-MIMO) transmission and multi user multiple input multiple output (MU-MIMO) transmission.

Inventors

• WANG ZHIGANG
• HUANG QIXIN
• ZHANG RANRAN
• ZHU YING
• WANG YING
• LI YAN
• LI YING
• LI HONGHONG

Assignees

• 北京三星通信技术研究有限公司
• 三星电子株式会社

Dates

Publication Date

20260508

Application Date

20200320

Claims (20)

1. 1. A method performed by a server associated with service management and orchestration SMO and radio access network, RAN, intelligent controller, RIC, entities in a wireless communication system, comprising: Obtaining first information from a base station, the first information including at least one of capability-related information, measurement-related information, or performance-related indicators; Obtaining second information from the application server, the second information comprising information related to user mobility; Obtaining an artificial intelligence/machine learning AI/ML model based on the first information and the second information; And determining a transmission mode of the User Equipment (UE) based on the obtained AI/ML model, wherein the transmission mode comprises single-user multiple-input multiple-output (SU-MIMO) transmission and multi-user multiple-input multiple-output (MU-MIMO) transmission.
2. 2. The method of claim 1, further comprising: Determining a radio resource control, RRC, configuration for the SU-MIMO transmission and a RRC configuration for the MU-MIMO transmission, and The determined RRC configuration is sent to the base station via a quasi-real-time RIC entity.
3. 3. The method of claim 1, wherein the result of determining the transmission regime is sent to the base station via a near real-time RIC entity, Wherein the RIC entity is a non-real time RIC entity.
4. 4. The method of claim 1, wherein the second information is associated with a terminal status, the second information further comprising traffic flow information.
5. 5. The method of claim 1, wherein the determining comprises: Estimating mobility and/or traffic usage of each of a plurality of UEs by the AI/ML model, and Based on the estimation, a transmission mode of each UE of the plurality of UEs is determined as one of the SU-MIMO transmission or the MU-MIMO transmission.
6. 6. The method of claim 1, wherein the information related to user mobility comprises global positioning system, GPS, information.
7. 7. The method of claim 1, wherein the capability-related information comprises at least one of user-related capability information or cell-related capability information.
8. 8. The method of claim 7, wherein the user-related capability information comprises at least one of sounding reference signal, SRS, reporting capability, supported demodulation reference signal, DMRS type, number of supported DMRS symbols.
9. 9. The method of claim 7, wherein the cell-related capability information comprises at least one of whether MU-MIMO transmission is supported, whether SU-MIMO transmission is supported, a maximum number of transmission layers for MU-MIMO, a maximum number of transmission layers for SU-MIMO, and whether coordinated multipoint CoMP transmission is supported.
10. 10. The method of claim 1, wherein the measurement related information comprises slice-related measurement information.
11. 11. A method performed by a base station in a wireless communication system, comprising: transmitting first information to a server associated with the service management and orchestration SMO and the radio access network RAN intelligent controller RIC, the first information comprising at least one of capability related information, measurement related information or performance related indicators; Receiving a transmission mode of User Equipment (UE) from the server, wherein the transmission mode comprises single user multiple input multiple output (SU-MIMO) transmission and multi user multiple input multiple output (MU-MIMO) transmission, and Scheduling resources for a plurality of UEs based on the transmission scheme, The transmission mode of the UE is determined based on an artificial intelligence/machine learning AI/ML model, wherein the AI/ML model is obtained based on the first information and second information, wherein the second information is obtained from an application server, and wherein the second information comprises information related to user mobility.
12. 12. The method of claim 11, further comprising: Receiving from the server a radio resource control RRC configuration for the SU-MIMO transmission and an RRC configuration for the MU-MIMO transmission, Wherein the RRC configuration is determined by the server and received from the server via a near real-time RIC entity.
13. 13. The method of claim 11, wherein the transmission is received from the server via a near real-time RIC entity, Wherein the RIC entity is a non-real time RIC entity.
14. 14. The method of claim 11, wherein the second information is associated with a terminal status, the second information further comprising traffic flow information.
15. 15. The method according to claim 11, wherein: mobility and/or traffic flow usage of each of the plurality of UEs is estimated by the AI/ML model, and The transmission mode of each UE of the plurality of UEs is determined to be one of the SU-MIMO transmission or the MU-MIMO transmission based on the estimation.
16. 16. The method of claim 11, wherein the information related to user mobility comprises global positioning system, GPS, information.
17. 17. The method of claim 11, wherein the capability-related information comprises at least one of user-related capability information or cell-related capability information.
18. 18. The method of claim 17, wherein the user-related capability information comprises at least one of a sounding reference signal, SRS, reporting capability, a supported demodulation reference signal, DMRS type, a number of supported DMRS symbols.
19. 19. The method of claim 17, wherein the cell-related capability information comprises at least one of whether MU-MIMO transmission is supported, whether SU-MIMO transmission is supported, a maximum number of transmission layers for MU-MIMO, a maximum number of transmission layers for SU-MIMO, and whether coordinated multipoint CoMP transmission is supported.
20. 20. The method of claim 11, wherein the measurement related information comprises slice-related measurement information.

Description

Apparatus in wireless communication system and method for performing the same The application relates to a method and equipment for optimizing performance based on O-RAN, which is a divisional application of Chinese application patent with application date of 2020, 3-20, application number of 202010201781.6 and application name of 'performance optimizing configuration method and equipment based on O-RAN'. Technical Field The present disclosure relates to communication technology (e.g., O-RAN network systems), and more particularly, to an apparatus in a wireless communication system and methods performed thereby, e.g., to methods and devices for performance optimization in an O-RAN system. Background The revolution of the 5G (5 th-Generation, 5th Generation mobile communication) core network has occurred silently, but in the radio access network field, the 5G radio access network has the characteristics of multiple services, large bandwidth, high frequency band and the like, which tends to cause the coverage of a single station to be smaller, the complexity of equipment to be increased, the scale of networking to be increased, the network cost to be huge and the return on investment risk to be increased. In combination with these specific features and requirements of the wireless network, the field of the wireless access network is required to introduce new development and design ideas of integration of IT (Information Technology ), CT (Communication Technology, communication technology) and DT (Data technology), which is in line with the macroscopic evolution trend of the communication industry. Based on the method, operators such as China Mobile alliance AT & T and the like integrate C-RAN alliance and xRAN forum, leading to create O-RAN (open radio access network) industry alliance, and providing two large core prospects of 'opening' and 'intelligence', which accords with the great development trend of the communication industry, is also a great network revolution leading by the operators, hopes to build an open intelligent wireless network by utilizing big data, machine learning and artificial intelligence technology, and synchronously combines open standards, white box hardware and open source software to reduce the cost of the wireless network. Disclosure of Invention Aspects of the present disclosure address at least the above problems and/or disadvantages and provide at least the advantages described below. The present disclosure relates to a network system based on O-RAN, by measuring and predicting network load, user traffic, service type, mobility, etc., selecting different transmission modes for users in different scenarios, and implementing in particular by means of slicing policy, RRC configuration or MAC scheduling policy, etc., so as to achieve improvement of throughput of a base station system, improve user experience, and help improvement of terminal power saving performance, etc. According to one aspect of the disclosure, a method for performance optimization in an O-RAN system includes creating at least two network sub-slice instances NSSI, requesting information reporting through an interface between a management entity and a network function or within the network function, receiving the reporting information and generating policy information based on the reporting information, and issuing the policy information through the corresponding interface. According to an aspect of the disclosure, the different NSSI corresponds to a respective selected transmission mode, and wherein the respective selected transmission mode is indicated by one of a newly added separate information element IE in NSSI, a NSSI naming string rule, and an implicit association of NSSI with the respective selected transmission mode. According to an aspect of the disclosure, receiving the reporting information includes at least one of receiving user capability information through a corresponding interface, receiving cell capability information through a corresponding interface, and receiving slice measurement information through a corresponding interface. According to an aspect of the disclosure, the method further includes receiving information related to a user scenario from an external server, wherein the information related to the user scenario includes at least one of user mobility related information for mobility estimation and prediction of each user in each cell in the slice, and user traffic flow related information for traffic flow estimation and prediction of each user in each cell in the slice. According to an aspect of the disclosure, receiving the report information and generating policy information based on the report information further includes generating policy information using an artificial intelligence/machine learning (AI/ML) module based on the collected information related to the user scenario. According to one aspect of the disclosure, the policy information includes at least one of user mobilit