Revisiting information detection and energy harvesting: A power splitting-based approach

Jaehong Kim, Won Yong Shin, Xin Kang, Han Lim Lee, Jingon Joung

Research output: Contribution to journalArticlepeer-review

Abstract

Wireless sensors are becoming essential in machine-type communications and Internet of Things. As the key performance metrics, the spectral efficiency as well as the energy efficiency have been considered while determining the effectiveness of sensor networks. In this paper, we present several power-splitting solutions to maximize the average harvested energy under a rate constraint when both the information and power are transmitted through the same wireless channel to a sensor (i.e., a receiver). More specifically, we first designed the optimal dynamic power-splitting policy, which decides the optimal fractional power of the received signal used for energy harvesting at the receiver. As effective solutions, we proposed two types of single-threshold-based power-splitting policies, namely, Policies I and II, which decide to switch between energy harvesting and information decoding by comparing the received signal power with some given thresholds. Additionally, we performed asymptotic analysis for a large number of packets along with practical statistics-based policies. Consequently, we demonstrated the effectiveness of the proposed power-splitting solutions in terms of the rate–energy trade-off.

Original languageEnglish
Article number1341
Pages (from-to)1-16
Number of pages16
JournalEntropy
Volume22
Issue number12
DOIs
Publication statusPublished - 2020 Dec

Bibliographical note

Funding Information:
Funding: This work has been supported in part by the National Research Foundation of Korea(NRF) grant funded by the Korean government (MSIT) (2018R1A4A1023826 & 2019R1A2C1084168) and in part by Yonsei University Research Fund of 2020 (2020-22-0101).

Publisher Copyright:
© 2020 by the authors. Licensee MDPI, Basel, Switzerland.

All Science Journal Classification (ASJC) codes

  • Physics and Astronomy(all)

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