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Energy Efficiency Optimization for Spatial Switching-Based MIMO SWIPT System

Tang, J; So, DKC; Shojaeifard, A; Wong, K-K; (2017) Energy Efficiency Optimization for Spatial Switching-Based MIMO SWIPT System. In: The Proceedings of the 2017 IEEE 85th Vehicular Technology Conference (VTC Spring). IEEE: Red Hook (NY), USA. Green open access

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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.

Type: Proceedings paper
Title: Energy Efficiency Optimization for Spatial Switching-Based MIMO SWIPT System
Event: 2017 IEEE 85th Vehicular Technology Conference (VTC Spring)
Location: Sydney (NSW), Australia
Dates: 4th-7th June 2017
ISBN-13: 978-1-5090-5932-4
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/VTCSpring.2017.8108293
Publisher version: https://doi.org/10.1109/VTCSpring.2017.8108293
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: MIMO, Receiving antennas, Optimization, Resource management, Power demand
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10055241
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