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Phase Optimization and Relay Selection for Joint Relay and IRS-Assisted Communication

Year: 2024

Type: conference-paper

Abstract: The use of Intelligent Reflecting Surfaces (IRSs) is considered a potential enabling technology for enhancing the spectral and energy efficiency of beyond 5G communication systems. In this paper, a joint relay and intelligent reflecting surface (IRS)-assisted communication is considered to investigate the gains of optimizing both the phase angles and selection of relays. The combination of successive refinement and reinforcement learning is proposed. Successive refinement algorithm is used for phase optimization and reinforcement learning is used for relay selection. Experimental results indicate that the proposed approach offers improved achievable rate performance and scales better with number of relays compared to considered benchmark approaches.

Source: IEEE Vehicular Technology Conference

DOI: 10.1109/vtc2024-fall63153.2024.10757697

Authors: Uyoata E. Uyoata, Mobayode Akinsolu, Enoruwa Obayiuwana, Abimbola Sangodoyin, Ramoni Adeogun

Institutions: Aalborg University, Wrexham University, Ekiti State University, Adekunle Ajasin University, Obafemi Awolowo University, University of Lincoln

Language: English

Topic: Advanced Wireless Communication Technologies

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W4406267380

FWCI: 2.401

Cites:

Cited by: 3

Related to: 10