计算机科学
基站
分式程序设计
发射机功率输出
电信线路
数学优化
梯度下降
资源配置
最大化
无线
高效能源利用
能源消耗
最优化问题
能量(信号处理)
算法
计算机网络
电信
电气工程
数学
非线性规划
人工智能
频道(广播)
工程类
发射机
物理
统计
非线性系统
量子力学
人工神经网络
作者
Chongwen Huang,Alessio Zappone,George C. Alexandropoulos,Mérouane Debbah,Chau Yuen
标识
DOI:10.1109/twc.2019.2922609
摘要
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.
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