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Adaptive Distributed Beamforming for Relay Networks based on Local Channel State Information

Zhang, L, liu, W, quddus, A, Dianati, M and tafazolli, R (2015) Adaptive Distributed Beamforming for Relay Networks based on Local Channel State Information IEEE Transactions on Signal and Information Processing over Networks, 1 (2). pp. 117-128.

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Abstract

Most of the existing distributed beamforming algorithms for relay networks require global channel state information (CSI) at relay nodes and the overall computational complexity is high. In this paper, a new class of adaptive algorithms is proposed which can achieve a globally optimum solution by employing only local CSI. A reference signal based (RSB) scheme is first derived, followed by a constant modulus (CM) based scheme when the reference signal is not available. Considering individual power transmission constraint at each relay node, the corresponding constrained adaptive algorithms are also derived as an extension. An analysis of the overhead and stepsize range for the derived algorithms are then provided and the excess mean square error (EMSE) for the RSB case is studied based on the energy reservation method. As demonstrated by our simulation results, a better performance has been achieved by our proposed algorithms and they have a very low computational complexity and can be implemented on low cost and low processing power devices.

Item Type: Article
Subjects : Communication
Authors :
AuthorsEmailORCID
Zhang, LUNSPECIFIEDUNSPECIFIED
liu, WUNSPECIFIEDUNSPECIFIED
quddus, AUNSPECIFIEDUNSPECIFIED
Dianati, MUNSPECIFIEDUNSPECIFIED
tafazolli, RUNSPECIFIEDUNSPECIFIED
Date : 30 July 2015
Identification Number : 10.1109/TSIPN.2015.2463076
Copyright Disclaimer : © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Depositing User : Symplectic Elements
Date Deposited : 21 Apr 2016 08:41
Last Modified : 21 Apr 2016 08:41
URI: http://epubs.surrey.ac.uk/id/eprint/810352

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