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.
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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-pp.ucl.ac.uk/id/eprint/10055241 |
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