Energy Efficiency of Distributed Antenna Systems With Wireless Power Transfer

• Published in: IEEE journal on selected areas in communications Vol. 37; no. 1; pp. 89 - 99
• Main Authors: Huang, Yuwen, Liu, Yuan, Li, Geoffrey Ye
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.01.2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Antenna arrays; Antennas; Computer simulation; Distributed antenna systems (DAS); Downlink; Energy consumption; Energy efficiency; energy efficiency (EE); Energy harvesting; Iterative algorithms; Iterative methods; Mathematical analysis; nonlinear programming; Optimization; Power efficiency; Radio signals; Resource allocation; Resource management; Time Division Multiple Access; User requirements; Wireless communication; wireless power transfer; Wireless power transmission
• ISSN: 0733-8716; 1558-0008
• DOI: 10.1109/JSAC.2018.2872362

In this paper, we study energy-efficient resource allocation in distributed antenna system with wireless power transfer, where time-division multiple access is adopted for downlink multiuser information transmission. In particular, when a user is scheduled to receive information, other users harvest energy at the same time using the same radio-frequency signal. We consider two types of energy efficiency (EE) metrics: user-centric EE (UC-EE) and network-centric EE (NC-EE). Our goal is to maximize the UC-EE and NC-EE, respectively, by optimizing the transmission time and power subject to the energy harvesting requirements of the users. For both UC-EE and NC-EE maximization problems, we transform the nonconvex problems into equivalently tractable problems by using suitable mathematical tools and then develop iterative algorithms to find the globally optimal solutions. Simulation results demonstrate the superiority of the proposed methods compared with the benchmark schemes.