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  • Research Article
  • Open Access

Cooperative Multibeamforming in Ad Hoc Networks

EURASIP Journal on Advances in Signal Processing20072008:310247

https://doi.org/10.1155/2008/310247

Received: 24 April 2007

Accepted: 8 October 2007

Published: 22 October 2007

Abstract

We treat the problem of cooperative multiple beamforming in wireless ad hoc networks. The basic scenario is that a cluster of source nodes cooperatively forms multiple data-carrying beams toward multiple destination nodes. To resolve the hidden node problem, we impose a link constraint on the receive power at each unintended destination node. Then the problem becomes to optimize the transmit powers and beam weights at the source cluster subject to the maximal transmit power constraint, the minimal receive signal-to-interference-plus-noise ratio (SINR) constraints at the destination nodes, and the minimal receive power constraints at the unintended destination nodes. We first propose an iterative transmit power allocation algorithm under fixed beamformers subject to the maximal transmit power constraint, as well as the minimal receive SINR and receive power constraints. We then develop a joint optimization algorithm to iteratively optimize the powers and the beamformers based on the duality analysis. Since channel state information (CSI) is required by the sources to perform the above optimization, we further propose a cooperative scheme to implement a simple CSI estimation and feedback mechanism based on the subspace tracking principle. Simulation results are provided to demonstrate the performance of the proposed algorithms.

Keywords

  • Destination Node
  • Power Allocation
  • Channel State Information
  • Power Constraint
  • Node Problem

Publisher note

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Authors’ Affiliations

(1)
Marvell Semiconductor, Inc., Santa Clara, USA
(2)
Department of Electrical Engineering, Columbia University, New York, USA

Copyright

© C. Li and X.Wang. 2008

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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