Paper Abstract and Keywords |
Presentation |
2022-07-15 09:40
[Invited Lecture]
Evolution of Radio Access Network Brought by AI/ML Hiroyuki Kawai, Liu Liu, Issei Nakamura, Anxin Li, Yu Jiang, Lan Chen (DOCOMO Beijing Labs) RCC2022-32 NS2022-50 RCS2022-93 SR2022-35 SeMI2022-37 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In the complicated and diversified radio access networks (RANs) in 5G and beyond, artificial intelligence (AI)/machine learning (ML) is not only utilized to improve the automation and efficiency in higher layers such as operation and maintenance aspect, but also will play important role in further efficiency improvement and power saving by exploring AI/ML in Layer 1/Layer 2. In this lecture, we will introduce the trend in AI/ML application in RANs, and practices and use cases including intelligent beam management, efficient compression of channel state information, and QoS friendly power saving. In addition, the latest standardization status in 3GPP Rel.18 will be introduced. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
AI for RAN / L1/L2 / CSI compression / beam management / power saving / / / |
Reference Info. |
IEICE Tech. Rep., vol. 122, no. 106, RCS2022-93, pp. 126-126, July 2022. |
Paper # |
RCS2022-93 |
Date of Issue |
2022-07-06 (RCC, NS, RCS, SR, SeMI) |
ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
Download PDF |
RCC2022-32 NS2022-50 RCS2022-93 SR2022-35 SeMI2022-37 |
Conference Information |
Committee |
NS SR RCS SeMI RCC |
Conference Date |
2022-07-13 - 2022-07-15 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
The Kanazawa Theatre + Online |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Distributed Wireless Network, M2M (Machine-to-Machine),D2D (Device-to-Device),IoT(Internet of Things), etc |
Paper Information |
Registration To |
RCS |
Conference Code |
2022-07-NS-SR-RCS-SeMI-RCC |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Evolution of Radio Access Network Brought by AI/ML |
Sub Title (in English) |
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Keyword(1) |
AI for RAN |
Keyword(2) |
L1/L2 |
Keyword(3) |
CSI compression |
Keyword(4) |
beam management |
Keyword(5) |
power saving |
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1st Author's Name |
Hiroyuki Kawai |
1st Author's Affiliation |
DOCOMO Beijing Communications Laboratories (DOCOMO Beijing Labs) |
2nd Author's Name |
Liu Liu |
2nd Author's Affiliation |
DOCOMO Beijing Communications Laboratories (DOCOMO Beijing Labs) |
3rd Author's Name |
Issei Nakamura |
3rd Author's Affiliation |
DOCOMO Beijing Communications Laboratories (DOCOMO Beijing Labs) |
4th Author's Name |
Anxin Li |
4th Author's Affiliation |
DOCOMO Beijing Communications Laboratories (DOCOMO Beijing Labs) |
5th Author's Name |
Yu Jiang |
5th Author's Affiliation |
DOCOMO Beijing Communications Laboratories (DOCOMO Beijing Labs) |
6th Author's Name |
Lan Chen |
6th Author's Affiliation |
DOCOMO Beijing Communications Laboratories (DOCOMO Beijing Labs) |
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Speaker |
Author-1 |
Date Time |
2022-07-15 09:40:00 |
Presentation Time |
30 minutes |
Registration for |
RCS |
Paper # |
RCC2022-32, NS2022-50, RCS2022-93, SR2022-35, SeMI2022-37 |
Volume (vol) |
vol.122 |
Number (no) |
no.104(RCC), no.105(NS), no.106(RCS), no.107(SR), no.108(SeMI) |
Page |
p.64(RCC), p.119(NS), p.126(RCS), p.72(SR), p.81(SeMI) |
#Pages |
1 |
Date of Issue |
2022-07-06 (RCC, NS, RCS, SR, SeMI) |
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