Energy Efficiency Optimization for Spatial Switching-based MIMO SWIPT System

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

  • Authors:
  • Jie Tang
  • Ka Chun So
  • Arman Shojaeifard
  • Kai-Kit Wong

Abstract

In this paper, we investigate joint antenna selection and spatial switching (SS) for energy efficiency (EE) optimization in a multiple-input multiple-output (MIMO) simultaneous wireless information and power transfer (SWIPT) system. A practical linear power model taking into account the entire transmit-receive chain is accordingly utilized. The corresponding fractional-combinatorial and non-convex EE problem, involving joint optimization of eigen-channel assignment, power allocation, and active receive antenna set selection, subject to satisfying minimum sum-rate and power transfer constraints, is extremely difficult to solve directly. In order to tackle this, we separate the eigen-channel assignment and power allocation procedure with the antenna selection functionality. In particular, we first tackle the EE maximization problem under fixed receive antenna set using Dinkelbach-based convex programming. We then provide a fundamental study of the achievable EE with antenna selection
and accordingly develop dynamic optimal exhaustive search and Frobenius-norm-based schemes. Simulation results confirm the theoretical findings and demonstrate that the proposed resource allocation algorithms can efficiently approach the optimal EE.

Bibliographical metadata

Original languageEnglish
Title of host publicationIEEE Vehicular Technology Conference Spring 2017
PublisherInstitute of Electrical and Electronics Engineers
Pages4754-4769
Number of pages16
Volume16
Edition7
StateAccepted/In press - 30 Jan 2017
Event2017 IEEE 85th Vehicular Technology Conference - Sydney, Australia

Conference

Conference2017 IEEE 85th Vehicular Technology Conference
Abbreviated titleVTC2017-Spring
CountryAustralia
CitySydney
Period4/06/177/06/17
Internet address