Title | ||
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Exploiting Amplitude Control in Intelligent Reflecting Surface Aided Wireless Communication with Imperfect CSI |
Abstract | ||
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Intelligent reflecting surface (IRS) is a promising new paradigm to achieve high spectral and energy efficiency for future wireless networks by reconfiguring the wireless signal propagation via passive reflection. To reap the promising gains of IRS, channel state information (CSI) is essential, whereas channel estimation errors are inevitable in practice due to limited channel training resources. ... |
Year | DOI | Venue |
---|---|---|
2021 | 10.1109/TCOMM.2021.3064959 | IEEE Transactions on Communications |
Keywords | DocType | Volume |
Channel estimation,Training,Performance gain,Wireless networks,Optimization,Minimization,MISO communication | Journal | 69 |
Issue | ISSN | Citations |
6 | 0090-6778 | 15 |
PageRank | References | Authors |
0.52 | 0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Zhao Ming-Min | 1 | 15 | 0.86 |
Qingqing Wu | 2 | 2228 | 90.86 |
Minjian Zhao | 3 | 224 | 34.77 |
Rui Zhang | 4 | 13983 | 620.75 |