Open Access

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

  • Jamshid Abouei1Email author,
  • Alireza Bayesteh2,
  • Masoud Ebrahimi2 and
  • Amir K. Khandani2
EURASIP Journal on Advances in Signal Processing20102011:184685

DOI: 10.1155/2011/184685

Received: 28 May 2010

Accepted: 29 October 2010

Published: 3 November 2010

Abstract

A distributed wireless network with https://static-content.springer.com/image/art%3A10.1155%2F2011%2F184685/MediaObjects/13634_2010_Article_3031_IEq1_HTML.gif links is considered, where the links are partitioned into https://static-content.springer.com/image/art%3A10.1155%2F2011%2F184685/MediaObjects/13634_2010_Article_3031_IEq2_HTML.gif clusters each operating in a subchannel with bandwidth https://static-content.springer.com/image/art%3A10.1155%2F2011%2F184685/MediaObjects/13634_2010_Article_3031_IEq3_HTML.gif . The subchannels are assumed to be orthogonal to each other. A general shadow-fading model described by the probability of shadowing https://static-content.springer.com/image/art%3A10.1155%2F2011%2F184685/MediaObjects/13634_2010_Article_3031_IEq4_HTML.gif and the average cross-link gains https://static-content.springer.com/image/art%3A10.1155%2F2011%2F184685/MediaObjects/13634_2010_Article_3031_IEq5_HTML.gif is considered. The main goal is to find the maximum network throughput in the asymptotic regime of https://static-content.springer.com/image/art%3A10.1155%2F2011%2F184685/MediaObjects/13634_2010_Article_3031_IEq6_HTML.gif , 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 https://static-content.springer.com/image/art%3A10.1155%2F2011%2F184685/MediaObjects/13634_2010_Article_3031_IEq7_HTML.gif . In the first part, the network throughput is defined as the average sum-rate of the network, which is shown to scale as https://static-content.springer.com/image/art%3A10.1155%2F2011%2F184685/MediaObjects/13634_2010_Article_3031_IEq8_HTML.gif . It is proved that the optimum power allocation strategy for each user for large https://static-content.springer.com/image/art%3A10.1155%2F2011%2F184685/MediaObjects/13634_2010_Article_3031_IEq9_HTML.gif 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 https://static-content.springer.com/image/art%3A10.1155%2F2011%2F184685/MediaObjects/13634_2010_Article_3031_IEq10_HTML.gif . Moreover, the optimum spectrum sharing for maximizing the average sum-rate and the guaranteed sum-rate is achieved at https://static-content.springer.com/image/art%3A10.1155%2F2011%2F184685/MediaObjects/13634_2010_Article_3031_IEq11_HTML.gif .

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Authors’ Affiliations

(1)
Department of Electrical Engineering, Yazd University
(2)
Department of Electrical and Computer Engineering, University of Waterloo

Copyright

© 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.

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