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  • Research Article
  • Open Access

Transmission Strategies in MIMO Ad Hoc Networks

  • 1Email author,
  • 1 and
  • 1
EURASIP Journal on Wireless Communications and Networking20092009:128098

https://doi.org/10.1155/2009/128098

  • Received: 1 December 2008
  • Accepted: 22 June 2009
  • Published:

Abstract

Precoding problem in multiple-input multiple-output (MIMO) ad hoc networks is addressed in this work. Firstly, we consider the problem of maximizing the system mutual information under a power constraint. In this context, we give a brief overview of the nonlinear optimization methods, and systematically we compare their performances. Then, we propose a fast and distributed algorithm based on the quasi-Newton methods to give a lower bound of the system capacity of MIMO ad hoc networks. Our proposed algorithm solves the maximization problem while diminishing the amount of information in the feedback links needed in the cooperative optimization. Secondly, we propose a different problem formulation, which consists in minimizing the total transmit power under a quality of signal constraint. This novel problem design is motivated since the packets are captured in ad hoc networks based on their signal-to-interference-plus-noise ratio (SINR) values. We convert the proposed formulation into semidefinite optimization problem, which can be solved numerically using interior point methods. Finally, an extensive set of simulations validates the proposed algorithms.

Keywords

  • Mutual Information
  • Interior Point
  • Nonlinear Optimization
  • Point Method
  • Maximization Problem

Publisher note

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Authors’ Affiliations

(1)
IREENA Ecole Polytechnique de l'Université de Nantes, BP, 50609 Nantes, France

Copyright

© Khalil Fakih et al. 2009

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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