Energy-aware cooperative content distribution over wireless networks: Optimized and distributed approaches

Lina Al-Kanj, Zaher Dawy, Walid Saad, Erhan Kutanoglu

Research output: Contribution to journalArticle

28 Scopus citations

Abstract

In this paper, we address the problem of optimal energy-aware content distribution over wireless networks with mobile-to-mobile cooperation. Given a number of mobile terminals (MTs) interested in downloading a common content via a base station (BS), the MTs are grouped into cooperative groups or coalitions. Within each coalition, an optimally chosen coalition head downloads the content from the BS and either unicasts or multicasts it to the other MTs. The centralized optimization formulations are derived for both unicasting and multicasting among the MTs, along with the suitable simplifications to reduce the complexity of the optimization formulations. Then, a polynomial time heuristic algorithm is proposed to solve the optimization problems for relatively large networks where the optimal solution becomes computationally complex. Furthermore, a distributed algorithm, which is based on coalitional game theory, is developed to allow the MTs to choose, independently, which coalitions to join. Performance results for various scenarios demonstrate that the proposed algorithms lead to significant reduction in the total energy consumed by the MTs. In addition, the proposed centralized and distributed algorithms are shown to have relatively low complexity while achieving a near-optimal performance.

Original languageEnglish (US)
Article number6516553
Pages (from-to)3828-3847
Number of pages20
JournalIEEE Transactions on Vehicular Technology
Volume62
Issue number8
DOIs
StatePublished - Jan 1 2013

Keywords

  • Coalition formation
  • cooperative content distribution
  • energy efficiency
  • green communications
  • mobile-to-mobile cooperation
  • optimal content distribution

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Aerospace Engineering
  • Automotive Engineering
  • Computer Networks and Communications
  • Applied Mathematics

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