Optimal Grouping Strategy for Reconfigurable Intelligent Surface Assisted Wireless Communications
| Autor: | Neel Kanth Kundu, Zan Li, Junhui Rao, Shanpu Shen, Matthew R. McKay, Ross Murch |
|---|---|
| Rok vydání: | 2022 |
| Předmět: |
Signal Processing (eess.SP)
FOS: Computer and information sciences Control and Systems Engineering Information Theory (cs.IT) Computer Science - Information Theory FOS: Electrical engineering electronic engineering information engineering Electrical Engineering and Systems Science - Signal Processing Electrical and Electronic Engineering |
| Zdroj: | IEEE Wireless Communications Letters. 11:1082-1086 |
| ISSN: | 2162-2345 2162-2337 |
| DOI: | 10.1109/lwc.2022.3156978 |
| Popis: | The channel estimation overhead of reconfigurable intelligent surface (RIS) assisted communication systems can be prohibitive. Prior works have demonstrated via simulations that grouping neighbouring RIS elements can help to reduce the pilot overhead and improve achievable rate. In this paper, we present an analytical study of RIS element grouping. We derive a tight closed-form upper bound for the achievable rate and then maximize it with respect to the group size. Our analysis reveals that more coarse-grained grouping is important-when the channel coherence time is low (high mobility scenarios) or the transmit power is large. We also demonstrate that optimal grouping can yield significant performance improvements over simple `On-Off' RIS element switching schemes that have been recently considered. Submitted to IEEE Wireless Communications Letters |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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