Abstract

In this work, we consider a novel reconfigurable intelligent surface (RIS)-assisted full duplex (FD) sixth generation (6G)-vehicle-to-everything (V2X) communication network having a FD base station (BS) simultaneously communicating with an uplink (UL) and a downlink (DL) mobile vehicles with the aide of two RISs, one for each link. We provide an analytical framework to investigate the performance of this network and, consequently, formulate an optimization problem to jointly optimize the phase-shift matrices at both the RISs that maximizes the achievable sum-rate. Thereafter, we propose a successive refinement algorithm which uses an iterative approach to solve the problem and provide optimum values of phase-shift matrix at each RIS. We validate the accuracy of the proposed algorithm by exhaustive simulation based graphical results. Accordingly, we demonstrate the dominance of the considered FD system over its half-duplex (HD) counterpart. Moreover, we also highlight the impact of imperfect self interference cancellation and discuss the trade-off between the UL and DL performances due to this imperfection.

Keywords:
Telecommunications link Computer science Base station Duplex (building) Optimization problem Interference (communication) Algorithm Real-time computing Mathematical optimization Computer network Mathematics Channel (broadcasting)

Metrics

13
Cited By
2.16
FWCI (Field Weighted Citation Impact)
23
Refs
0.85
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Wireless Communication Technologies
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Wireless Communication Security Techniques
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
UAV Applications and Optimization
Physical Sciences →  Engineering →  Aerospace Engineering

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