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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Hierarchical Passive Beamforming for Reconfigurable Intelligent Surface Aided Communications
TL;DR: This work proposes a reflection-angle-based cascaded channel model by adopting the generalized Snell’s law, in which the dimension of the variable space involved in optimization is significantly reduced, resulting in a simplified hierarchical passive beamforming (HPB) design.
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Spatial Modulation for RIS-Assisted Uplink Communication: Joint Power Allocation and Passive Beamforming Design
TL;DR: A novel RIS-assisted RSM scheme is proposed, which can provide a low cost and complexity solution for system realization and is shown that the performance of the TSM and RSM schemes is more sensitive to the quantization accuracy of the phase of the RIS coefficients than that of the amplitude.
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Chenghai Wang,Xiaohu You,Xiqi Gao,Xiuming Zhu,Zi-sheng Li,Chuan Zhang,Huaimin Wang,Yongming Huang,Yunfei Chen,Harald Haas,John R. Thompson,Erik G. Larsson,Marco Di Renzo,Wen Tong,Peiying Zhu,Xuemin Sherman Shen,H. Vincent Poor,Lajos Hanzo +17 more
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Machine Learning for Intelligent-Reflecting-Surface-Based Wireless Communication towards 6G: A Review
Mohammad Abrar Shakil Sejan,Md. Habibur Rahman,Beom-Sik Shin,Ji-Hye Oh,Young-Hwan You,Hyoung-Kyu Song +5 more
TL;DR: A comprehensive overview of the state-of-the-art on ML, especially on deep learning (DL)-based IRS-enhanced communication is provided, which focuses on their operating principles, channel estimation (CE), and the applications of machine learning to IRS- enhanced wireless networks.
Journal ArticleDOI
Joint Hybrid and Passive RIS-Assisted Beamforming for mmWave MIMO Systems Relying on Dynamically Configured Subarrays
TL;DR: In this article , an energy-efficient analog beamformer relying on the twin-resolution phase shifters is proposed, and a successive interference cancellation (SIC)-based method for jointly designing the hybrid beamforming matrix of the BS and the passive beamforming structure of the RIS.
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