Low-Complexity Energy-Efficient Resource Allocation for the Downlink of Cellular Systems

Heliot, F, Imran, MA and Tafazolli, R (2013) Low-Complexity Energy-Efficient Resource Allocation for the Downlink of Cellular Systems IEEE Transactions on Communications, 61 (6). pp. 2271-2281.

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Abstract

Energy efficiency (EE) is undoubtedly an important criterion for designing power-limited systems, and yet in a context of global energy saving, its relevance for power-unlimited systems is steadily growing. Equally, resource allocation is a well-known method for improving the performance of cellular systems. In this paper, we propose an EE optimization framework for the downlink of planar cellular systems over frequency-selective channels. Relying on this framework, we design two novel low-complexity resource allocation algorithms for the single-cell and coordinated multi-cell scenarios, which are EE-optimal and EE-suboptimal, respectively. We then utilize our algorithms for comparing the EE performance of the classic non-coordinated, orthogonal and coordinated multi-cell approaches in realistic power and system settings. Our results show that coordination can be a simple and effective method for improving the EE of cellular systems, especially for medium to large cell sizes. Indeed, by using a coordinated rather than a non-coordinated resource allocation approach, the per-sector energy consumption and transmit power can be reduced by up to 15% and more than 90%, respectively.

Item Type:	Article
Divisions :	Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Communication Systems Research
Authors :	Name Email ORCID Heliot, F Imran, MA Tafazolli, R
Date :	1 June 2013
DOI :	10.1109/TCOMM.2013.042313.120516
Additional Information :	© 2013 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.
Depositing User :	Symplectic Elements
Date Deposited :	09 Jul 2013 15:40
Last Modified :	31 Oct 2017 15:05
URI:	http://epubs.surrey.ac.uk/id/eprint/774275

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