Wireless Information and Power Transfer: Probability-Based Power Allocation and Splitting With Low Complexity

Kisong Lee, Jeong Gil Ko

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


Despite energy harvesting (EH) using radio frequency (RF) signals and the concept of simultaneous wireless information and power transfer (SWIPT) being attractive technologies to adapt in various low-power wireless systems, the research in these fields was mostly built upon less-practical configurations. While a resource allocation strategy was proposed to identify the optimal performance bounds for SWIPT systems, a huge computational complexity makes it impractical to apply to real-world systems. In this work, we figure out that the strategy for achieving the optimal performance bounds follows a water-filling algorithm similarly. We use this observation to propose a heuristic algorithm for finding a water level for power allocation and effective power splitting ratio with minimal complexity. Using analysis and simulations, we show that the proposed scheme achieves near-optimal performance with a significant lower complexity compared to previously proposed optimal-bound identifying schemes.

Original languageEnglish
Pages (from-to)1060-1064
Number of pages5
JournalIEEE Systems Journal
Issue number1
Publication statusPublished - 2018 Mar

Bibliographical note

Funding Information:
Manuscript received November 17, 2015; revised February 15, 2016; accepted March 25, 2016. Date of publication May 02, 2016; date of current version March 23, 2018. This work was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT, and Future Planning under Grant 2015R1C1A1A01051747. (Corresponding author: JeongGil Ko.) K. Lee is with the School of Information and Communication Engineering, Chungbuk National University, Cheongju 28644, South Korea (e-mail: kslee851105@gmail.com).

Publisher Copyright:
© 2016 IEEE.

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Information Systems
  • Computer Science Applications
  • Computer Networks and Communications
  • Electrical and Electronic Engineering


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