Reconfigurable Intelligent Surfaces for Energy Efficiency in Wireless Communication
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In this article, the authors developed energy-efficient designs for both the transmit power allocation and the phase shifts of the surface reflecting elements subject to individual link budget guarantees for the mobile users.Abstract:
The adoption of a reconfigurable intelligent surface (RIS) for downlink multi-user communication from a multi-antenna base station is investigated in this paper. We develop energy-efficient designs for both the transmit power allocation and the phase shifts of the surface reflecting elements subject to individual link budget guarantees for the mobile users. This leads to non-convex design optimization problems for which to tackle we propose two computationally affordable approaches, capitalizing on alternating maximization, gradient descent search, and sequential fractional programming. Specifically, one algorithm employs gradient descent for obtaining the RIS phase coefficients, and fractional programming for optimal transmit power allocation. Instead, the second algorithm employs sequential fractional programming for the optimization of the RIS phase shifts. In addition, a realistic power consumption model for RIS-based systems is presented, and the performance of the proposed methods is analyzed in a realistic outdoor environment. In particular, our results show that the proposed RIS-based resource allocation methods are able to provide up to 300% higher energy efficiency in comparison with the use of regular multi-antenna amplify-and-forward relaying.read more
Citations
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Journal ArticleDOI
Reconfigurable Intelligent Surface-Empowered MIMO Systems
TL;DR: Two new multiple-input multiple-output (MIMO) system designs using RISs are presented to enhance the performance and boost the spectral efficiency of state-of-the-art MIMO communication systems.
Proceedings ArticleDOI
Robust Beamforming and Phase Shift Design for IRS-Enhanced Multi-User MISO Downlink Communication.
TL;DR: An algorithm based on alternating optimization (AO) and semi-definite relaxation (SDR) is proposed to solve the challenging non-convex problem of optimizing the beamforming vector at the base station (BS) and the phase shift induced by the IRS.
Posted Content
Millimeter Wave Communications With Reconfigurable Intelligent Surface: Performance Analysis and Optimization
TL;DR: The fluctuating two-ray (FTR) distribution is used to model the small-scale fading in mmWave frequency and it is found that the RIS-aided system can attain the same performance as the AF relay system with low transmit power.
Journal ArticleDOI
Space Shift Keying With Reconfigurable Intelligent Surfaces: Phase Configuration Designs and Performance Analysis
TL;DR: In this article, two RIS-based SSK schemes are proposed to efficiently improve the error and throughput performance of conventional SSK systems, respectively, by employing an RIS for beamforming and targets the maximization of the minimum squared Euclidean distance between any two decision points.
Journal ArticleDOI
Channel Estimation Approach for RIS Assisted MIMO Systems
TL;DR: In this paper, the authors proposed an algorithm to estimate the composite channel, the separate RIS-based channels, and the direct channel for the RIS-assisted MU-MIMO system by exploiting symmetric positive definite (SPD) properties matrices.
References
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Qingqing Wu,Rui Zhang +1 more
TL;DR: Simulation results demonstrate that an IRS-aided single-cell wireless system can achieve the same rate performance as a benchmark massive MIMO system without using IRS, but with significantly reduced active antennas/RF chains.
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