Akbari, A., Imran, M. A. and Tafazolli, R. (2011) Maximising Average Energy Efficiency for Two-User AWGN Broadcast Channel. In: 2011 Future Network Mobile Summit, Warsaw, Poland, 15-17 Jun 2011, ISBN 9781905824250
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Publisher's URL: http://ieeexplore.ieee.org/document/6095232/
Abstract
Energy consumption has become an increasingly important aspect of wireless communications, from both an economical and environmental point of view. New enhancements are being placed on mobile networks to reduce the power consumption of both mobile terminals and base stations. This paper studies the achievable rate region of AWGN broadcast channels under Time-division, Frequency-division and Superposition coding, and locates the optimal energyefficient rate-pair according to a comparison metric based on the average energy efficiency of the system. In addition to the transmit power, circuit power and signalling power are also incorporated in the energy efficiency function, with simulation results verifying that the Superposition coding scheme achieves the highest energy efficiency in an ideal, but non-realistic scenario, where the signalling power is zero. With moderate signalling power, the Frequency-division scheme is the most energy-efficient, with Superposition coding and Time-division becoming second and third best. Conversely, when the signalling power is high, both Timedivision and Frequency-division schemes outperform Superposition coding. On the other hand, the Superposition coding scheme also incorporates rate-fairness into the system, which allows both users to transmit whilst maximising the energy efficiency.
Item Type: | Conference Proceedings |
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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: | Akbari, A., Imran, M. A., and Tafazolli, R. |
College/School: | College of Science and Engineering > School of Engineering |
ISBN: | 9781905824250 |
Published Online: | 05 December 2011 |
Copyright Holders: | Copyright © 2011 The Authors |
First Published: | First published in 2011 Future Network Mobile Summit |
Publisher Policy: | Reproduced in accordance with the publisher copyright policy |
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