Model Predictive Joint Transmit Power Control for Improving System Availability in Energy-Harvesting Wireless Mesh Networks

Katsuya Suto, Hiroki Nishiyama, Nei Kato, Toshiaki Kuri

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

This letter explores energy-efficient transmit power control in wireless mesh networks (WMNs) with energy harvesting sources, where both users and WMN links are considered to decide an optimal energy utilization scheme. Specifically, a model predictive control algorithm is proposed based on user distribution and harvested energy predictions. Extensive simulation results show that the proposed algorithm outperforms the static and current information-based transmit power control schemes in high user density environments.

Original languageEnglish
Article number8421207
Pages (from-to)2112-2115
Number of pages4
JournalIEEE Communications Letters
Volume22
Issue number10
DOIs
Publication statusPublished - 2018 Oct

Keywords

  • Wireless mesh networks
  • energy harvesting
  • model prediction
  • system availability
  • transmit power control

ASJC Scopus subject areas

  • Modelling and Simulation
  • Computer Science Applications
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Model Predictive Joint Transmit Power Control for Improving System Availability in Energy-Harvesting Wireless Mesh Networks'. Together they form a unique fingerprint.

  • Cite this