Maximising Average Energy efficiency for Two-user AWGN Broadcast Channel
Akbari, A, Imran, MA and Tafazolli, R (2011) Maximising Average Energy efficiency for Two-user AWGN Broadcast Channel In: Future Network & Mobile Summit (FutureNetw), 2011, 2011-06-15 - 2011-06-17, Warsaw.
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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 energy-efficient 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 Time-division 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 or Workshop Item (Paper) |
|---|---|
| Additional Information: | Copyright 2011 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. |
| Divisions: | Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Communication Systems Research |
| ID Code: | 533674 |
| Deposited By: | Symplectic Elements |
| Deposited On: | 05 Oct 2012 11:53 |
| Last Modified: | 01 Apr 2013 14:48 |
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