Low Complexity Adaptation for Reconfigurable Intelligent Surface-Based MIMO Systems

Autor: Ertugrul Basar, Zehra Yigit, Ibrahim Altunbas
Přispěvatelé: Başar, Ertuğrul (ORCID 0000-0001-5566-2392 & YÖK ID 149116), Yiğit, Zehra, Altunbaş, İbrahim, College of Engineering, Department of Electrical and Electronics Engineering
Rok vydání: 2020
Předmět:
Signal Processing (eess.SP)
FOS: Computer and information sciences
Computer science
business.industry
Computer Science - Information Theory
Information Theory (cs.IT)
MIMO
Phase (waves)
020206 networking & telecommunications
02 engineering and technology
Transmission system
Computer Science Applications
Signal-to-noise ratio
MIMO communication
Computational modeling
Transmitting antennas
Receivers
Complexity theory
Signal to noise ratio
Reconfigurable intelligent surfaces (RISs)
Multiple-input multiple-output (MIMO)
Cosine similarity theorem
Modeling and Simulation
Telecommunications
0202 electrical engineering
electronic engineering
information engineering
Electronic engineering
FOS: Electrical engineering
electronic engineering
information engineering
Wireless
Electrical and Electronic Engineering
Electrical Engineering and Systems Science - Signal Processing
business
Adaptation (computer science)
Zdroj: IEEE Communications Letters
DOI: 10.48550/arxiv.2006.03247
Popis: 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.
Scientific and Technological Research Council of Turkey (TÜBİTAK)
Databáze: OpenAIRE
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