Energy efficient optimisation for large-scale multiple-antenna system with WPT

Zheng Chang; Shan Zhang; Zhongyu Wang; Xijuan Guo; Zhu Han; Tapani Ristaniemi

Energy efficient optimisation for large-scale multiple-antenna system with WPT

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Author(s): Zheng Chang¹ ; Shan Zhang² ; Zhongyu Wang³ ; Xijuan Guo³ ; Zhu Han⁴ ; Tapani Ristaniemi¹
- Affiliations: 1: Faculty of Information Technology , University of Jyväskylä , P.O.Box 35, FIN-40014 Jyväskylä , Finland ;
  2: School of Computer Science and Engineering , Beihang University , Beijing , People's Republic of China ;
  3: College of Information Science and Engineering, Yanshan University, Qinhuangdao 066004 , People's Republic of China ;
  4: Electrical and Computer Engineering Department, University of Houston, Houston, TX , USA
Source: Volume 12, Issue 5, 20 March 2018, p. 552 – 558
DOI: 10.1049/iet-com.2017.0472 , Print ISSN 1751-8628, Online ISSN 1751-8636

Received 08/05/2017, Accepted 19/10/2017, Revised 31/08/2017, Published 30/10/2017

In this study, an energy-efficient optimisation scheme for a large-scale multiple-antenna system with wireless power transfer (WPT) is presented. In the considered system, the user is charged by a base station with a large number of antennas via downlink WPT and then utilises the received power to carry out uplink data transmission. Novel antenna selection, time allocation and power allocation schemes are presented to optimise the energy efficiency of the overall system. In addition, the authors also consider channel state information cannot be perfectly obtained when designing the resource allocation schemes. The non-linear fractional programming-based algorithm is utilised to address the formulated problem. Their proposed schemes are validated by extensive simulations and it shows superior performance over the existing schemes.

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