Energy-Efficiency Based Resource Allocation for the Scalar Broadcast Channel

Héliot, F., Imran, M. A. and Tafazolli, R. (2012) Energy-Efficiency Based Resource Allocation for the Scalar Broadcast Channel. In: 2012 IEEE Wireless Communications and Networking Conference (WCNC), Paris, France, 01-04 Apr 2012, pp. 193-197. ISBN 9781467304375 (doi:10.1109/WCNC.2012.6214105)

Héliot, F., Imran, M. A. and Tafazolli, R. (2012) Energy-Efficiency Based Resource Allocation for the Scalar Broadcast Channel. In: 2012 IEEE Wireless Communications and Networking Conference (WCNC), Paris, France, 01-04 Apr 2012, pp. 193-197. ISBN 9781467304375 (doi:10.1109/WCNC.2012.6214105)

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Abstract

Until recently, link adaptation and resource allocation for communication system relied extensively on the spectral efficiency as an optimization criterion. With the emergence of the energy efficiency (EE) as a key system design criterion, resource allocation based on EE is becoming of great interest. In this paper, we propose an optimal EE-based resource allocation method for the scalar broadcast channel (BC-S). We introduce our EE framework, which includes an EE metric as well as a realistic power consumption model for the base station, and utilize this framework for formulating our EE-based optimization problem subject to a power as well as fairness constraints. We then prove the convexity of this problem and compare our EE-based resource allocation method against two other methods, i.e. one based on sum-rate and one based on fairness optimization. Results indicate that our method provides large EE improvement in comparison with the two other methods by significantly reducing the total consumed power. Moreover, they show that near-optimal EE and average fairness can be simultaneously achieved over the BC-S channel.

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∘247733- project EARTH.
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
ISSN:1558-2612
ISBN:9781467304375
Published Online:11 June 2012
Copyright Holders:Copyright © 2012 IEEE
First Published:First published in 2012 IEEE Wireless Communications and Networking Conference (WCNC): 193-197
Publisher Policy:Reproduced in accordance with the publisher copyright policy

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