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Title: Robust MMSE beamforming for multiantenna relay networks
Authors: Cumanan, Kanapathippillai
Ding, Zhiguo
Rahulamathavan, Yogachandran
Molu, Mehdi M.
Chen, Hsiao-Hwa
Keywords: Relay network
Beamforming
Non-regenerative relay
Multiple-input-multiple-output
Quality of service
Issue Date: 2016
Publisher: © IEEE
Citation: CUMANAN, K. ...et al., Robust MMSE beamforming for multiantenna relay networks. IEEE Transactions on Vehicular Technology, In Press.
Abstract: 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.
Description: © 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.
Version: Accepted for publication
DOI: 10.1109/TVT.2016.2601344
URI: https://dspace.lboro.ac.uk/2134/22210
Publisher Link: http://dx.doi.org/10.1109/TVT.2016.2601344
ISSN: 0018-9545
Appears in Collections:Published Articles (Loughborough University London)

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