JOURNAL ARTICLE

Joint Beamforming and Phase-Shifting Optimization in MISO with RIS-Assisted Communication

Abstract

In this paper, we jointly investigate beamforming and phase shift of reconfigurable intelligent surface (RIS) for energy efficiency (EE) maximization in an MISO downlink system with multiple users. Specially, we assume that we only know the channel statistics information between RIS to users. The formulated problem is formulated to a non-convex one such that it is difficult to obtain the optimal solution. To tackle this nonconvexity, we decouple the original problem to two subproblems and further propose two iterative suboptimal algorithms based on the successive convex approximation (SCA) to solve the two subproblems, respectively. Then we propose an iterative algorithm to obtain a suboptimal solution of original problem in polynomial time. The numerical results verifies the effectiveness of our proposed algorithm.

Keywords:
Telecommunications link Beamforming Mathematical optimization Maximization Computer science Regular polygon Iterative method Optimization problem Channel (broadcasting) Convex optimization Joint (building) Algorithm Mathematics Telecommunications Engineering

Metrics

2
Cited By
0.10
FWCI (Field Weighted Citation Impact)
13
Refs
0.45
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
Indoor and Outdoor Localization Technologies
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Antenna Design and Analysis
Physical Sciences →  Engineering →  Aerospace Engineering
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