Novel joint subcarrier and power allocation method in SWIPT for WSNs employing OFDM system

Saleemullah Memon, Kamran Ali Memon*, Zulfiqar Ali Zardari, Muhammad Aamir Panhwar, Sijjad Ali Khuhro, Asiya Siddiqui

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

In recent research trends, simultaneous wireless information and power transfer (SWIPT) has proved to be an innovative technique to deal with limited energy problems in energy harvesting (EH) technologies for wireless sensor networks (WSNs). In this paper, a method of subcarrier and power allocation for both EH and information decoding (ID) operations is proposed under orthogonal frequency division multiplexing (OFDM) systems, with an improved the quality of service (QoS) parameters. This proposed method assigns one group of subcarriers for ID and remaining group of subcarriers is assigned for EH, despite of applying any splitting schemes. We achieved maximum EH under the ID and power constraints with an effective algorithm for the first time incorporating the dual decomposition technique which deals with power and subcarrier allocation problem jointly. The obtained simulation outcomes in relation to power allocation ratio, subcarrier allocation ratio and energy harvested (EH) at the destination node proved better when compared to the schemes that contain water filling, time switching (TS) or power splitting (PS) approaches under different target transmission rates and transmitter and receiver distances.

Original languageEnglish
Pages (from-to)263-267
Number of pages5
JournalInternational Journal of Advanced Computer Science and Applications
Volume10
Issue number5
DOIs
StatePublished - 2019
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2018 The Science and Information (SAI) Organization Limited.

Keywords

  • Energy harvesting (EH)
  • Information decoding (ID)
  • Power allocation
  • Simultaneous wireless information & power transfer (SWIPT)
  • Subcarrier allocation

ASJC Scopus subject areas

  • General Computer Science

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