Enabling mobile traffic offloading via energy spectrum trading

Tao Han, Nirwan Ansari

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

Green communications has received much attention recently. For mobile networks, the base stations (BSs) account for more than 50% of the energy consumption of the networks. Therefore, reducing the power consumption of BSs is crucial to greening mobile networks. In this paper, we propose a novel energy spectrum trading (EST) scheme which enables the macro BSs to offload their mobile traffic to Internet service providers' (ISPs') wireless access points by leveraging cognitive radio techniques. Since the ISP's wireless access points are usually closer to the mobile users, the energy and spectral efficiency of mobile networks are enhanced. However, in the EST scheme, achieving optimal mobile traffic offloading in terms of minimizing the energy consumption of the macro BSs is NP-hard. We thus propose a heuristic algorithm to approximate the optimal solution with low computation complexity. We have proved that the energy savings achieved by the proposed heuristic algorithm is at least 50% of that achieved by the brute-force search. Simulation results demonstrate the performance and viability of the proposed EST scheme and the heuristic algorithm.

Original languageEnglish (US)
Article number6805337
Pages (from-to)3317-3328
Number of pages12
JournalIEEE Transactions on Wireless Communications
Volume13
Issue number6
DOIs
StatePublished - Jun 2014

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

Keywords

  • Mobile traffic offloading
  • WiFi hotspots
  • cellular networks
  • energy efficient wireless networks
  • green communications

Fingerprint Dive into the research topics of 'Enabling mobile traffic offloading via energy spectrum trading'. Together they form a unique fingerprint.

Cite this