Energy-efficient dual-iteration power allocation for two-phase relay system with massive antennas

Zhao, Long, Xiang, Wei, Mei, Jie, Zhao, Hui, Long, Hang, and Li, Lin (2014) Energy-efficient dual-iteration power allocation for two-phase relay system with massive antennas. International Journal of Antennas and Propagation, 2014. 543826.

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Abstract

This paper considers the scenario where multiple source nodes communicate with multiple destination nodes simultaneously with the aid of an amplify-and-forward relay equipped with massive antennas. In order to achieve optimal energy efficiency (EE) of the entire relay system, this paper investigates the power allocation problem for the multiple pairs of nodes at both the source nodes and the relay node, where the relay employs the backward and forward zero-forcing filters. Since the EE optimization problem cannot be solved analytically, we propose a two-phase power allocation method. Given power allocation of one phase, the optimal power allocation is derived for the other phase. Furthermore, two dual-iteration power allocation (DIPA) algorithms with performance approaching that of optimal EE are developed based on the instantaneous and statistic channel state information, respectively. Numerical results show that the proposed DIPA algorithms can greatly improve EE while guaranteeing spectrum efficiency (SE) when compared with the equal power allocation algorithm. Moreover, both algorithms suggest that deploying a rational number of antennas at the relay node and multiplexing a reasonable number of node pairs can improve on the EE and SE.

Item ID: 43297
Item Type: Article (Research - C1)
ISSN: 1687-5877
Additional Information:

Copyright © 2014 Long Zhao 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.

Funders: National 863 Program of China (N863P), National Key Technology R&D Program of China (NKTP), China Natural Science Funding (NSF), Research Fund for the Doctoral Program of Higher Education (RFDPHE)
Projects and Grants: N863P 2014AA01A705, NKTP 2012ZX03004005, NSF 61271183, RFDPHE 20130005120003
Date Deposited: 24 Feb 2016 07:47
FoR Codes: 09 ENGINEERING > 0906 Electrical and Electronic Engineering > 090609 Signal Processing @ 100%
SEO Codes: 89 INFORMATION AND COMMUNICATION SERVICES > 8901 Communication Networks and Services > 890199 Communication Networks and Services not elsewhere classified @ 100%
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