Title
Scalable Channel Estimation and Reflection Optimization for Reconfigurable Intelligent Surface-Enhanced OFDM Systems
Abstract
This letter proposes a scalable channel estimation and reflection optimization framework for reconfigurable intelligent surface (RIS)-enhanced orthogonal frequency division multiplexing (OFDM) systems. Specifically, the proposed scheme firstly generates a training set of RIS reflection coefficient vectors offline. For each RIS reflection coefficient vector in the training set, the proposed scheme ...
Year
DOI
Venue
2022
10.1109/LWC.2022.3145885
IEEE Wireless Communications Letters
Keywords
DocType
Volume
Training,Channel estimation,OFDM,Optimization,Resource management,Computational complexity,Baseband
Journal
11
Issue
ISSN
Citations 
4
2162-2337
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Jiancheng An100.34
Qingqing Wu2222890.86
Chau Yuen34493263.28