Joint Source and Relay Energy-Efficient Resource Allocation for Two-Hop MIMO-AF Systems

Héliot, F., Imran, M. A. and Tafazolli, R. (2014) Joint Source and Relay Energy-Efficient Resource Allocation for Two-Hop MIMO-AF Systems. In: 2014 IEEE International Conference on Communications (ICC), Sydney, Australia, 10-14 Jun 2014, pp. 3806-3811. ISBN 9781479920037 (doi:10.1109/ICC.2014.6883914)

Héliot, F., Imran, M. A. and Tafazolli, R. (2014) Joint Source and Relay Energy-Efficient Resource Allocation for Two-Hop MIMO-AF Systems. In: 2014 IEEE International Conference on Communications (ICC), Sydney, Australia, 10-14 Jun 2014, pp. 3806-3811. ISBN 9781479920037 (doi:10.1109/ICC.2014.6883914)

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Abstract

This paper proposes a low-complexity joint source and relay energy-efficient resource allocation scheme for the two-hop multiple-input-multiple-output (MIMO) amplify-and-forward (AF) system when channel state information is available. We first simplify the multivariate unconstrained energy efficiency (EE)-based problem and derive a convex closed-form approximation of its objective function as well as closed-form expressions of subchannel rates in both the unconstrained and power constraint cases. We then rely on these expressions for designing a low-complexity energy-efficient joint resource allocation algorithm. Our approach has been compared with a generic nonlinear constrained optimization solver and results have indicated the low-complexity and accuracy of our approach. As an application, we have also compared our EE-based approach against the optimal spectral efficiency (SE)-based joint resource allocation approach and results have shown that our EE-based approach provides a good trade-off between power consumption and SE.

Item Type:Conference Proceedings
Additional Information:The research leading to these results has received funding from the European Commission’s Seventh Framework Programme FP7/2007-2013 under grant agreement n◦318273- project LEXNET.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Imran, Professor Muhammad
Authors: Héliot, F., Imran, M. A., and Tafazolli, R.
College/School:College of Science and Engineering > School of Engineering
ISBN:9781479920037
Published Online:28 August 2014

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