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Cited by 109Energy Harvesting in Wireless NetworksWireless Communication Security TechniquesAge of Information Optimization

The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.

Energy Efficiency Optimization With SWIPT in MIMO Broadcast Channels for Internet of Things

Open access
Tang, Jie, So, Daniel K. C., Zhao, Nan, Shojaeifard, Arman, Wong, Kai-Kit·2018·IEEE Internet of Things Journal
DOI 10.1109/jiot.2017.2785861
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Abstract

Simultaneous wireless information and power transfer (SWIPT) is anticipated to have great applications in 5G communication systems and the Internet of Things. In this paper, we address the energy efficiency (EE) optimization problem for SWIPT multiple-input multiple-output broadcast channel (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 nonconvex, 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 subgradient 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.

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Research works printed but not linked: 3

  1. 2013, GreenTouch Green Meter Research Study Reducing the Net Energy Consumption in Communications Networks by up to 90 percent by 2020
  2. holmes, 2007, Fast SVD for large-scale matrices, Proc Neural Inf Process Syst, 1
  3. boyd, 2003, Subgradient methods

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Metadata

Authors
Tang, J., So, D. K. C., Zhao, N., Shojaeifard, A., & Wong, K.-K.
Affiliations
  • South China University of Technology (CN)
  • University of Manchester (GB)
  • Dalian University of Technology (CN)
  • University College London (GB)
ORCID
Venue
IEEE Internet of Things Journal
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2018-08
Volume
5
Issue
4
Pages
2605-2619
ISSN
  • 2327-4662 (ISSN-L)
  • 2372-2541
DOI
10.1109/jiot.2017.2785861
OpenAlex
W2777535382
Cited by
109
References
44
Citations by year
2026: 1 · 2025: 7 · 2024: 7 · 2023: 6 · 2022: 13 · 2021: 16 · 2020: 27 · 2019: 17 · 2018: 15
FWCI
6.71
Type
journal article
Language
en
Open access
Licence
Locations
  • IEEE Internet of Things Journal (publishedVersion)
  • Research Explorer (The University of Manchester) (publishedVersion, other-oa)
  • UCL Discovery (University College London) (submittedVersion)
Funders
  • National Natural Science Foundation of China (61601186)
  • Natural Science Foundation of Guangdong Province (1714050004216)
  • Guangzhou Science Technology and Innovation Commission (201707010159)
  • Southeast University (2018D03)
  • Fundamental Research Funds for the Central Universities (DUT17JC43)
  • Engineering and Physical Sciences Research Council (EP/N008219/1)
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Energy Harvesting in Wireless Networks
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Wireless Communication Security Techniques
  • Physical Sciences › Computer Science › Computer Networks and Communications › Age of Information Optimization
Keywords
simultaneous wireless information and power transfer, energy efficiency optimization, MIMO broadcast channel, time switching, Internet of Things, transmit covariance matrix design, non-convex optimization, min-max problems, 5G

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