Resource Allocation for Simultaneous Wireless Information and Power Transfer Systems : A Tutorial Overview

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

29 Scopus Citations
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Author(s)

  • Zhiqiang Wei
  • Xianghao Yu
  • Derrick Wing Kwan Ng
  • Robert Schober

Detail(s)

Original languageEnglish
Pages (from-to)127-149
Journal / PublicationProceedings of the IEEE
Volume110
Issue number1
Online published28 Oct 2021
Publication statusPublished - Jan 2022
Externally publishedYes

Abstract

Over the last decade, simultaneous wireless information and power transfer (SWIPT) has become a practical and promising solution for connecting and recharging battery-limited devices due to significant advances in low-power electronics technology and wireless communications techniques. To realize the promised potentials, advanced resource allocation design plays a decisive role in revealing, understanding, and exploiting the intrinsic rate-energy tradeoff capitalizing on the dual use of radio frequency (RF) signals for wireless charging and communication. In this article, we provide a comprehensive tutorial overview of SWIPT from the perspective of resource allocation design. The fundamental concepts, system architectures, and RF energy harvesting (EH) models are introduced. In particular, three commonly adopted EH models, namely, the linear EH model, the nonlinear saturation EH model, and the nonlinear circuit-based EH model, are characterized and discussed. Then, for a typical wireless system setup, we establish a generalized resource allocation design framework that subsumes conventional resource allocation design problems as special cases. Subsequently, we elaborate on relevant tools from optimization theory and exploit them for solving representative resource allocation design problems for SWIPT systems with and without perfect channel state information (CSI) available at the transmitter, respectively. The associated technical challenges and insights are also highlighted. Furthermore, we discuss several promising and exciting future research directions for resource allocation design for SWIPT systems intertwined with cutting-edge communication technologies, such as intelligent reflecting surfaces, unmanned aerial vehicles, mobile edge computing, federated learning, and machine learning.

Research Area(s)

  • Optimization, resource allocation, simultaneous wireless information and power transfer (SWIPT), wireless power transfer (WPT)

Citation Format(s)

Resource Allocation for Simultaneous Wireless Information and Power Transfer Systems: A Tutorial Overview. / Wei, Zhiqiang; Yu, Xianghao; Ng, Derrick Wing Kwan et al.
In: Proceedings of the IEEE, Vol. 110, No. 1, 01.2022, p. 127-149.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review