Low Complexity Adaptation for Reconfigurable Intelligent Surface-Based MIMO Systems
Abstract
Reconfigurable intelligent surface (RIS)-based transmission technology offers a promising solution to enhance wireless communication performance cost-effectively through properly adjusting the parameters of a large number of passive reflecting elements. This letter proposes a cosine similarity theorem-based low-complexity algorithm for adapting the phase shifts of an RIS that assists a multiple-input multiple-output (MIMO) transmission system. A semi-analytical probabilistic approach is developed to derive the theoretical average bit error probability (ABEP) of the system. Furthermore, the validity of the theoretical analysis is supported through extensive computer simulations.
- Publication:
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arXiv e-prints
- Pub Date:
- June 2020
- DOI:
- 10.48550/arXiv.2006.03247
- arXiv:
- arXiv:2006.03247
- Bibcode:
- 2020arXiv200603247Y
- Keywords:
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- Electrical Engineering and Systems Science - Signal Processing;
- Computer Science - Information Theory
- E-Print:
- To appear in IEEE Communications Letters