Energy efficiency optimization for multi-user MISO swipt systems

Cheng Peng, Qingjiang Shi, Weiqiang Xu, Mingyi Hong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

This paper considers a power splitting based multi-user multiple-input-single-output (MISO) downlink system with simultaneous wireless information and power transfer. Assuming that the most common zero-forcing (ZF) beam-forming scheme is employed by the base station, we aim to maximize the system energy efficiency in bits per Joule by joint beamforming and power splitting (PS) under both the signal-To-interference-plus-noise ratio constraints and energy harvesting constraints. The energy efficiency optimization (EEO) problem is nonconvex and very hard to solve. In this paper, by exploiting the problem structure, we first simplify the EEO problem to a joint transmit power allocation and receive power splitting problem. Then, with a tactful reformulation, we propose a Lagrangian relaxation (LR) method coupled with Dinkelbach method to address the simplified EEO problem. It is proven that the proposed LR method can guarantee at least a feasible solution, which is a notable advantage over the existing methods. Finally, numerical results validate the excellent efficiency of the proposed algorithms.

Original languageEnglish (US)
Title of host publication2015 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages772-776
Number of pages5
ISBN (Electronic)9781479919482
DOIs
StatePublished - Aug 31 2015
EventIEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2015 - Chengdu, China
Duration: Jul 12 2015Jul 15 2015

Publication series

Name2015 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2015 - Proceedings

Other

OtherIEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2015
CountryChina
CityChengdu
Period7/12/157/15/15

Keywords

  • Dinkelbach method
  • Lagrangian relaxation method
  • Multi-user MISO
  • power splitting
  • wireless information and power transfer
  • zero-forcing beamforming

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