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  • Research Article
  • Open Access

Virtual Cooperation for Throughput Maximization in Distributed Large-Scale Wireless Networks

  • 1Email author,
  • 2,
  • 2 and
  • 2
EURASIP Journal on Advances in Signal Processing20102011:184685

  • Received: 28 May 2010
  • Accepted: 29 October 2010
  • Published:


A distributed wireless network with links is considered, where the links are partitioned into clusters each operating in a subchannel with bandwidth . The subchannels are assumed to be orthogonal to each other. A general shadow-fading model described by the probability of shadowing and the average cross-link gains is considered. The main goal is to find the maximum network throughput in the asymptotic regime of , which is achieved by: (i) proposing a distributed power allocation strategy, where the objective of each user is to maximize its best estimate (based on its local information) of the average network throughput and (ii) choosing the optimum value for . In the first part, the network throughput is defined as the average sum-rate of the network, which is shown to scale as . It is proved that the optimum power allocation strategy for each user for large is a threshold-based on-off scheme. In the second part, the network throughput is defined as the guaranteed sum-rate, when the outage probability approaches zero. It is demonstrated that the on-off power scheme maximizes the throughput, which scales as . Moreover, the optimum spectrum sharing for maximizing the average sum-rate and the guaranteed sum-rate is achieved at .


  • Information Technology
  • Wireless Network
  • Quantum Information
  • Full Article
  • Throughput Maximization

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Authors’ Affiliations

Department of Electrical Engineering, Yazd University, P.O. Box 98195-741, Yazd, Iran
Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada, N2L 3G1


© Jamshid Abouei et al. 2011

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.