Paper Info
Title
Simultaneous wireless information and power transfer for massive MIMO networks
Abstract
In this study, the authors propose a simultaneous wireless information and power transfer scheme based on the power-splitting (PS) protocol for a massive multiple-input multiple-output (MIMO) network. On the downlink, the base station transmits the information and energy simultaneously to each terminal and each terminal divides the received signals by its PS device between information decoder and energy harvester (EH). On the uplink, a portion of the energy harvested by EH is drawn for uplink pilot transmission in the coming frame and then the other is used for uplink data transmission in the current frame. Based on this scheme, the closed-form lower bound expressions are obtained for the achievable downlink rate and uplink rate of each terminal and then are utilised to formulate an optimisation problem that is to maximise achievable sum rate of the whole network while ensuring the minimum required uplink and downlink rates of each terminal. However, as the original optimisation problem is non-convex and non-linear and very hard to solve directly, an algorithm is proposed by utilising successive approximation method based on geometric program. Numerical results verify the correctness and feasibility of the proposed algorithm.
Year
DOI
Venue
2020
10.1049/iet-com.2019.0046
IET Communications
Keywords
DocType
Volume
MIMO communication,energy harvesting,telecommunication power management,protocols,radiofrequency power transmission,concave programming,nonlinear programming,geometric programming,approximation theory
Journal
14
Issue
ISSN
Citations 
5
1751-8628
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Chen Liu1289.17
wenfeng sun201.69
Mujun Qian302.37
Shu Xu401.69