Resource optimization of wireless information and energy supply control systems with massive MIMO

Zhao, Long, Riihonen, Taneli, Xiang, Wei, Kuang, Yingzhuoxu, and Zheng, Kan (2017) Resource optimization of wireless information and energy supply control systems with massive MIMO. IEEE Communications Letters, 21 (12). pp. 2734-2737.

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Abstract

We study a wireless information and energy supply control system with frequency-division operation. In the considered system, a control station (CS) with a massive antenna array transmits energy and control information to multiple control terminals (CTs), and the CTs simultaneously transmit sensing information to the CS using harvested energy. The objective of this letter is to minimize the maximum control cost among all the CTs through resource allocation, while satisfying the transmission rate requirements of both the sensing and control information. The transmission rates are first derived, and then, a relationship between control cost and power allocation is established. Finally, we prove that all the CTs should have the same control cost to meet the min-max criterion, based on which a resource allocation scheme is proposed for the min-max problem. Numerical results indicate that the proposed resource allocation scheme is able to significantly reduce the system control cost.

Item ID: 51966
Item Type: Article (Research - C1)
ISSN: 1558-2558
Keywords: wireless control, wireless energy transfer, massive MIMO
Funders: China Natural Science Funding (NSF), Fundamental Research Funds for the Central Universities (FRFCU), Academy of Finland (AF)
Projects and Grants: NSF grant no. 61601044, FRFCU grant no. 2016RCGD10, AF grant no. 310991
Date Deposited: 10 Jan 2018 07:58
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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