Max-min lifetime optimization for cooperative communications in multi-channel wireless networks

Peng Li, Song Guo, Zixue Cheng

Research output: Journal article publicationJournal articleAcademic researchpeer-review

14 Citations (Scopus)


Cooperative communication (CC) has been proposed for achieving spatial diversity without requiring multiple antennas on the same node. Many efforts in exploiting the benefits of CC focus on improving the performance in terms of outage probability or channel capacity. However, the energy efficiency of CC, which is critical for the applications with energy constraints, has been little studied. In this paper, we study the lifetime maximization problem for multiple source-destination pairs using CC in multi-channel wireless networks by an optimal dynamic allocation of resources in terms of power, channel, cooperative relay, and transmission time fraction. We prove it NP-hard and formulate it as a mixed-integer nonlinear programming (MINLP) problem, which is then transformed into a mixed-integer linear programming (MILP) problem using linearization and reformulation techniques. By exploiting several problem-specific characteristics, a time-efficient branch-and-bound algorithm is proposed to solve the MILP problem. Extensive simulations are conducted to show that the proposed algorithm can significantly improve the performance of energy efficiency over existing solutions.
Original languageEnglish
Article number6574850
Pages (from-to)1533-1542
Number of pages10
JournalIEEE Transactions on Parallel and Distributed Systems
Issue number6
Publication statusPublished - 1 Jan 2014
Externally publishedYes


  • channel allocation
  • cooperative communications
  • Lifetime
  • relay selection

ASJC Scopus subject areas

  • Signal Processing
  • Hardware and Architecture
  • Computational Theory and Mathematics

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