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Wireless Communications and Mobile Computing
Volume 2017 (2017), Article ID 1858532, 15 pages
https://doi.org/10.1155/2017/1858532
Research Article

Energy Harvesting for Internet of Things with Heterogeneous Users

1School of EIC, Huazhong University of Science and Technology, Wuhan, China
2School of Public Management, South-Central University for Nationalities, Wuhan, China

Correspondence should be addressed to Xiaoqiang Ma

Received 17 March 2017; Accepted 11 June 2017; Published 30 July 2017

Academic Editor: Pierre-Martin Tardif

Copyright © 2017 Desheng Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

We study the energy harvesting problem in the Internet of Things with heterogeneous users, where there are three types of single-antenna users: ID users that only receive information, EH users that can only receive energy, and ID/EH users that receive information and energy simultaneously from a multiantenna base station via power splitting. We aim to maximize the minimum signal-to-interference-plus-noise ratio (SINR) of the ID users and ID/EH users by jointly designing the power allocation at the transmitter and the power splitting strategy at the ID/EH receivers under the maximum transmit power and the minimum energy harvesting constraints. Specifically, we first apply the semidefinite relaxation (SDR), zero-forcing (ZF), and maximum ratio transmission (MRT) techniques to solve the nonconvex problems. We then apply the zero-forcing dirty paper coding (ZF-DPC) technique to eliminate the multiuser interference and derive the closed-form optimal solution. Numerical results show that ZF-DPC provides higher achievable minimum SINR than SDR and ZF in most cases.