AI Enlightens Wireless Communication: Analyses and Solutions for DMRS Channel Estimation

被引：0
|
作者：
Bule Sun [1 ]
Zhiqin Wang [2 ]
Ang Yang [1 ]
Xiaofeng Liu [2 ]
Shi Jin [3 ]
Peng Sun [1 ]
Rakesh Tamrakar [1 ]
Dajie Jiang [1 ]
机构：
[1] Vivo Mobile Communication Co.,Ltd.
[2] China Academy of Information and Communications Technology
[3] National Mobile Communications Research Laboratory,Southeast University
来源：
ChinaCommunications | 2023年 / 20卷 / 05期
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论]; TN929.5 [移动通信];
学科分类号：
080402 ; 080904 ; 0810 ; 081001 ; 081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, a systematic description of the artificial intelligence(AI)-based channel estimation track of the 2nd Wireless Communication AI Competition(WAIC) is provided, which is hosted by IMT-2020(5G) Promotion Group 5G+AI Work Group.Firstly, the system model of demodulation reference signal(DMRS) based channel estimation problem and its corresponding dataset are introduced. Then the potential approaches for enhancing the performance of AI based channel estimation are discussed from the viewpoints of data analysis, pre-processing, key components and backbone network structures. At last, the final competition results composed of different solutions are concluded. It is expected that the AI-based channel estimation track of the 2nd WAIC could provide insightful guidance for both the academia and industry.
引用
收藏
页码：275 / 287
页数：13
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