Title:
METHOD AND DEVICE FOR ADAPTING LEARNING CLASS-BASED SYSTEM TO AI MIMO
Document Type and Number:
WIPO Patent Application WO/2022/119021
Kind Code:
A1
Abstract:
The present specification provides a method for transmitting learning class information, the method being performed by a terminal in a wireless communication system and comprising the steps of: transmitting a random access (RA) preamble to a base station; receiving a random access response (RAR) from the base station in response to the RA preamble; performing a radio resource control (RRC) connection procedure with the base station; determining the learning class information, wherein the learning class information is information about the degree of performance improvement in online learning, and the online learning is artificial intelligence (AI) algorithm-based learning following the activation of the wireless communication system; transmitting the learning class information to the base station; and performing channel state information (CSI) feedback according to the learning class information.
Inventors:
LEE HOJAE (KR)
LEE SANGRIM (KR)
LEE KYUNGHO (KR)
KIM YEONGJUN (KR)
JEON KIJUN (KR)
KIM SUNGJIN (KR)
LEE SANGRIM (KR)
LEE KYUNGHO (KR)
KIM YEONGJUN (KR)
JEON KIJUN (KR)
KIM SUNGJIN (KR)
Application Number:
PCT/KR2020/017660
Publication Date:
June 09, 2022
Filing Date:
December 04, 2020
Export Citation:
Assignee:
LG ELECTRONICS INC (KR)
International Classes:
H04B7/0413; G06N3/08; H04B7/06; H04W74/08
Domestic Patent References:
| WO2020027503A1 | 2020-02-06 |
Other References:
HUSSIE MOSTAFA, KIM KHOA NGUYEN, MOHAMED CHERIET: "PRVNet: Variational Autoencoders for Massive MIMO CSI Feedback", NETWORKING AND INTERNET ARCHITECTURE (CS.NI); MACHINE LEARNING (CS.LG), 1 November 2020 (2020-11-01), XP055935910, Retrieved from the Internet [retrieved on 20220627]
WANG CHENG-XIANG; RENZO MARCO DI; STANCZAK SLAWOMIR; WANG SEN; LARSSON ERIK G.: "Artificial Intelligence Enabled Wireless Networking for 5G and Beyond: Recent Advances and Future Challenges", IEEE WIRELESS COMMUNICATIONS, COORDINATED SCIENCE LABORATORY; DEPT. ELECTRICAL AND COMPUTER ENGINEERING; UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN, US, vol. 27, no. 1, 4 March 2020 (2020-03-04), US , pages 16 - 23, XP011776369, ISSN: 1536-1284, DOI: 10.1109/MWC.001.1900292
WEN CHAO-KAI, SHIH WAN-TING, JIN SHI: "Deep Learning for Massive MIMO CSI Feedback", IEEE WIRELESS COMMUNICATIONS LETTERS, IEEE, PISCATAWAY, NJ, USA, vol. 7, no. 5, 1 October 2018 (2018-10-01), Piscataway, NJ, USA , pages 748 - 751, XP055854726, ISSN: 2162-2337, DOI: 10.1109/LWC.2018.2818160
CHEN TAO; CHEN HSIAO-HWA; CHANG ZHENG; MAO SHIWEN: "Intelligent Radio: When Artificial Intelligence Meets the Radio Network", IEEE WIRELESS COMMUNICATIONS, COORDINATED SCIENCE LABORATORY; DEPT. ELECTRICAL AND COMPUTER ENGINEERING; UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN, US, vol. 27, no. 1, 4 March 2020 (2020-03-04), US , pages 6 - 8, XP011776359, ISSN: 1536-1284, DOI: 10.1109/MWC.2020.9023916
3GPP TS 36.213
3GPP TS 38.214
WANG CHENG-XIANG; RENZO MARCO DI; STANCZAK SLAWOMIR; WANG SEN; LARSSON ERIK G.: "Artificial Intelligence Enabled Wireless Networking for 5G and Beyond: Recent Advances and Future Challenges", IEEE WIRELESS COMMUNICATIONS, COORDINATED SCIENCE LABORATORY; DEPT. ELECTRICAL AND COMPUTER ENGINEERING; UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN, US, vol. 27, no. 1, 4 March 2020 (2020-03-04), US , pages 16 - 23, XP011776369, ISSN: 1536-1284, DOI: 10.1109/MWC.001.1900292
WEN CHAO-KAI, SHIH WAN-TING, JIN SHI: "Deep Learning for Massive MIMO CSI Feedback", IEEE WIRELESS COMMUNICATIONS LETTERS, IEEE, PISCATAWAY, NJ, USA, vol. 7, no. 5, 1 October 2018 (2018-10-01), Piscataway, NJ, USA , pages 748 - 751, XP055854726, ISSN: 2162-2337, DOI: 10.1109/LWC.2018.2818160
CHEN TAO; CHEN HSIAO-HWA; CHANG ZHENG; MAO SHIWEN: "Intelligent Radio: When Artificial Intelligence Meets the Radio Network", IEEE WIRELESS COMMUNICATIONS, COORDINATED SCIENCE LABORATORY; DEPT. ELECTRICAL AND COMPUTER ENGINEERING; UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN, US, vol. 27, no. 1, 4 March 2020 (2020-03-04), US , pages 6 - 8, XP011776359, ISSN: 1536-1284, DOI: 10.1109/MWC.2020.9023916
3GPP TS 36.213
3GPP TS 38.214
Attorney, Agent or Firm:
ENVISION PATENT & LAW FIRM (KR)
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