Energy Efficiency of Distributed Antenna Systems with Wireless Power Transfer

TL;DR

This paper investigates energy-efficient resource allocation in distributed antenna systems with wireless power transfer, optimizing transmission time and power to maximize user-centric and network-centric energy efficiency, using iterative algorithms for optimal solutions.

Contribution

It introduces a novel framework for maximizing energy efficiency in DAS with wireless power transfer, considering both user-centric and network-centric metrics, and develops globally optimal algorithms.

Findings

Proposed algorithms outperform benchmark schemes in simulations.

Effective optimization of transmission time and power enhances energy efficiency.

Both UC-EE and NC-EE maximization are achieved with globally optimal solutions.

Abstract

In this paper, we study energy-efficient resource allocation in distributed antenna system (DAS) with wireless power transfer, where time-division multiple access (TDMA) 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 (RF) 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.