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Robust MMSE beamforming for multiantenna relay networks

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journal contribution
posted on 05.08.2016, 10:52 authored by Kanapathippillai Cumanan, Zhiguo D. Ding, Yogachandran RahulamathavanYogachandran Rahulamathavan, Mehdi M. Molu, Hsiao-Hwa Chen
In this paper, we propose a robust minimum mean square error (MMSE) based beamforming technique for multiantenna relay broadcast channels, where a multi-antenna base station transmits signal to single antenna users with the help of a multiantenna relay. The signal transmission from the base station to the single antenna users is completed in two time slots, where the relay receives the signal from the base station in the first time slot and it then forwards the received signal to different users based on amplify and forward protocol. We propose a robust beamforming technique for sum-power minimization problem with imperfect channel state information (CSI) between the relay and the users. This robust scheme is developed based on the worst-case optimization framework and Nemirovski Lemma by incorporating uncertainties in the CSI. The original optimization problem is divided into three subproblems due to joint non-convexity in terms of beamforming vectors at the base station, the relay amplification matrix, and receiver coefficients. These subproblems are formulated into a convex optimization framework by exploiting Nemirovski Lemma, and an iterative algorithm is developed by alternatively optimizing each of them with channel uncertainties. In addition, we provide an optimization framework to evaluate the achievable worst-case mean square error (MSE) of each user for a given set of design parameters. Simulation results have been provided to validate the convergence of the proposed algorithm.

History

School

  • Loughborough University London

Published in

IEEE Transactions on Vehicular Technology

Citation

CUMANAN, K. ...et al., Robust MMSE beamforming for multiantenna relay networks. IEEE Transactions on Vehicular Technology, 66 (5), pp. 3900-3912.

Publisher

© IEEE

Version

AM (Accepted Manuscript)

Acceptance date

24/07/2016

Publication date

2016

Notes

© 2016 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.

ISSN

0018-9545

Language

en