Game-theoretic approach to energy-efficient resource allocation in device-to-device underlay communications

Zhenyu Zhou, Mianxiong Dong, Kaoru Ota, Ruifeng Shi, Zhiheng Liu, Takuro Sato

Research output: Contribution to journalArticle

68 Citations (Scopus)

Abstract

Despite the numerous benefits brought by device-to-device (D2D) communications, the introduction of D2D into cellular networks poses many new challenges in the resource allocation design because of the co-channel interference caused by spectrum reuse and limited battery life of user equipment's (UEs). Most of the previous studies mainly focus on how to maximise the spectral efficiency and ignore the energy consumption of UEs. In this study, the authors study how to maximise each UE's Energy Efficiency (EE) in an interference-limited environment subject to its specific quality of service and maximum transmission power constraints. The authors model the resource allocation problem as a non-cooperative game, in which each player is self-interested and wants to maximise its own EE. A distributed interference-aware energy-efficient resource allocation algorithm is proposed by exploiting the properties of the nonlinear fractional programming. The authors prove that the optimal solution obtained by the proposed algorithm is the Nash equilibrium of the non-cooperative game. The authors also analyse the tradeoff between EE and SE and derive closed-form expressions for EE and SE gaps.

Original languageEnglish
Pages (from-to)375-385
Number of pages11
JournalIET Communications
Volume9
Issue number3
DOIs
Publication statusPublished - 2015 Feb 12

    Fingerprint

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this