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Mobile Information Systems
Volume 2017 (2017), Article ID 1760187, 17 pages
Research Article

Massive MIMO Relay Systems with Multipair Wireless Information and Power Transfer

1Shandong Jiaotong University, Jinan 250357, China
2Department of Electronics Engineering, Inha University, Incheon 22212, Republic of Korea
3Department of Information and Communication Engineering, Inha University, Incheon 22212, Republic of Korea

Correspondence should be addressed to Kyung Sup Kwak

Received 25 November 2016; Accepted 5 February 2017; Published 26 February 2017

Academic Editor: Jeongyeup Paek

Copyright © 2017 Hongwu Liu 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.


This paper investigates destination-aided simultaneous wireless information and power transfer (SWIPT) for a decode-and-forward relay network, in which massive multiple-input multiple-output antennas are deployed at relay to assist communications among multiple source-destination pairs. During relaying, energy signals are emitted from multiple destinations when multiple sources are sending their information signals to relay. With power splitting and unlimited antennas at relay, asymptotic expression of harvested energy is derived. The analysis reveals that asymptotic harvested energy is independent of fast fading effect of wireless channels; meanwhile transmission powers of each source and destination can be scaled down inversely proportional to the number of relay antennas. To significantly reduce energy leakage interference and multipair interference, zero-forcing processing and maximum-ratio combing/maximum-ratio transmission are employed at relay. Fundamental trade-off between harvested energy and achievable sum rate is quantified. It is shown that asymptotic sum rate is neither convex nor concave with respect to power splitting and destination transmission power. Thus, a one-dimensional embedded bisection algorithm is proposed to jointly determine the optimal power splitting and destination transmission power. It shows that destination-aided SWIPT are beneficial for harvesting energy and increasing sum rate. The significant sum rate improvements of the proposed schemes are verified by numerical results.