Title | ||
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Scalable Channel Estimation and Reflection Optimization for Reconfigurable Intelligent Surface-Enhanced OFDM Systems |
Abstract | ||
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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 An | 1 | 0 | 0.34 |
Qingqing Wu | 2 | 2228 | 90.86 |
Chau Yuen | 3 | 4493 | 263.28 |