eprintid: 10044520
rev_number: 21
eprint_status: archive
userid: 608
dir: disk0/10/04/45/20
datestamp: 2018-03-05 15:58:37
lastmod: 2021-10-23 22:56:48
status_changed: 2018-03-05 15:58:37
type: article
metadata_visibility: show
creators_name: Tang, J
creators_name: So, DKC
creators_name: Zhao, N
creators_name: Shojaeifard, A
creators_name: Wong, KK
title: Energy Efficiency Optimization with SWIPT in MIMO Broadcast Channels for Internet of Things
ispublished: pub
divisions: UCL
divisions: B04
divisions: C05
divisions: F46
keywords: Simultaneous wireless information and power transfer (SWIPT), energy efficiency (EE), multiple-input multiple-output (MIMO), Internet-of-Things (IoT).
note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
abstract: IEEE Simultaneous wireless information and power transfer (SWIPT) is anticipated to have great applications in fifth-generation (5G) communication systems and the Internet-of-Things (IoT). 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 an 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 suboptimal 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 two iterative resource allocation schemes 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.
date: 2018-08
date_type: published
official_url: https://doi.org/10.1109/JIOT.2017.2785861
oa_status: green
full_text_type: other
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 1525424
doi: 10.1109/JIOT.2017.2785861
lyricists_name: Shojaeifard, Arman
lyricists_name: Wong, Kai-Kit
lyricists_id: ASHOJ33
lyricists_id: KWONG98
actors_name: Wong, Kai-Kit
actors_id: KWONG98
actors_role: owner
full_text_status: public
publication: IEEE Internet of Things Journal
volume: 5
number: 4
pagerange: 2605-2619
issn: 2327-4662
citation:        Tang, J;    So, DKC;    Zhao, N;    Shojaeifard, A;    Wong, KK;      (2018)    Energy Efficiency Optimization with SWIPT in MIMO Broadcast Channels for Internet of Things.                   IEEE Internet of Things Journal , 5  (4)   pp. 2605-2619.    10.1109/JIOT.2017.2785861 <https://doi.org/10.1109/JIOT.2017.2785861>.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10044520/1/IoT%20Journal.pdf