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Energy Efficient Resource Allocation for MIMO SWIPT Broadcast Channels

Tang, J; So, DKC; Shojaeifard, A; Wong, K-K; (2017) Energy Efficient Resource Allocation for MIMO SWIPT Broadcast Channels. 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 address the energy efficiency (EE) optimization problem for SWIPT multiple-input multiple-output broadcast channel (MIMO-BC) with time-switching (TS) receiver design. Our aim is to maximize the EE of the system whilst satisfying certain constraints in terms of maximum transmit power and minimum harvested energy per user. The coupling of the optimization variables, namely, transmit covariance matrices and TS ratios, leads to a EE problem which is non-convex, and hence very difficult to solve directly. Hence, we transform the original maximization problem with multiple constraints into a min-max problem with a single constraint and multiple auxiliary variables. We propose a dual inner/outer layer resource allocation framework to tackle the problem. For the inner- layer, we invoke an extended SWIPT-based BC-multiple access channel (MAC) duality approach and provide an iterative resource allocation scheme under fixed auxiliary variables for solving the dual MAC problem. A sub-gradient searching scheme is then proposed for the outer-layer in order to obtain the optimal auxiliary variables. Numerical results confirm the effectiveness of the proposed algorithms and illustrate that significant performance gain in terms of EE can be achieved by adopting the proposed extended BC-MAC duality-based algorithm.

Type: Proceedings paper
Title: Energy Efficient Resource Allocation for MIMO SWIPT Broadcast Channels
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.2017.8108529
Publisher version: https://doi.org/10.1109/VTCSpring.2017.8108529
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: Optimization, Receivers, Covariance matrices, Power demand, Resource management, Iterative methods, Downlink
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/10055240
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