Beamformer design and utility optimization for hybrid information and energy transfer with massive MIMO

Zhao, Long, Zheng, Kan, Yang, Haojun, and Xiang, Wei (2018) Beamformer design and utility optimization for hybrid information and energy transfer with massive MIMO. IEEE Systems Journal, 12 (2). pp. 1981-1992.

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Abstract

Consider a massive multiple-input multiple-output (MIMO) system, where the base station employing space-division multiple access simultaneously transmits information and energy to the information and energy users, respectively. The objective is to maximize the energy harvesting utility of the energy users, while guaranteeing the outage probability requirements of the information users. Since conventional beamformers, such as the maximum ratio transmission (MRT) and zero-forcing (ZF) beamformers, are designed for information transmission, a hybrid beamformer is first proposed to improve both the spectral efficiency (SE) of the information users and the harvested power (HP) of the energy users. Then, based on the analysis of SE and HP, the utility maximization problem is formulated and solved, followed by the proposal of a power allocation scheme for the hybrid information and energy transfer system. Theoretical and simulated results are presented to show that the hybrid beamformer is able to improve the SE-HP trade-off in comparison to the MRT and ZF beamformers, and gives the best energy harvesting utility at the expense of moderate complexity.

Item ID: 53712
Item Type: Article (Research - C1)
ISSN: 1937-9234
Keywords: beamforming, energy harvesting, massive multiple-input multiple-output (MIMO), spectral efficiency (SE), wireless energy transfer
Date Deposited: 23 May 2018 07:37
FoR Codes: 10 TECHNOLOGY > 1005 Communications Technologies > 100510 Wireless Communications @ 100%
SEO Codes: 89 INFORMATION AND COMMUNICATION SERVICES > 8901 Communication Networks and Services > 890103 Mobile Data Networks and Services @ 100%
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