Building Elastic Hybrid Green Wireless Networks

Chenfei Gao, Weiyi Zhang, Jian Tang

Research output: Contribution to journalArticle

2 Scopus citations

Abstract

Saving power on base stations (BSs) becomes a critical issue in wireless cellular networks. Many existing work has proposed to schedule BS into sleep to save energy. However, in reality, it is very difficult to shut down and reboot BSs frequently due to numerous technical issues and performance requirements. In this paper, we propose a much more practical solution and offer a new perspective on implementing green wireless networking by embracing the hot-trended small cell network idea. Instead of putting BSs into sleep, we tactically reduce the coverage (and the power usage) of each BS, and strategically place microcells (relay stations) to offload the traffic transmitted to/from BSs in order to save total power consumption. We propose approximation algorithms for various network design scenarios, with different wireless network setups and different power saving optimization objectives. Extensive numerical results are presented to confirm our theoretical analysis.

Original languageEnglish (US)
Article number7792561
Pages (from-to)2028-2037
Number of pages10
JournalIEEE Internet of Things Journal
Volume4
Issue number6
DOIs
StatePublished - Dec 1 2017

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Keywords

  • Approximation algorithms
  • cellular network
  • energy consumption
  • Internet of Things (IoT)
  • micro cell placement

ASJC Scopus subject areas

  • Signal Processing
  • Information Systems
  • Hardware and Architecture
  • Computer Science Applications
  • Computer Networks and Communications

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