Title :
Low-Complexity Energy-Efficient Resource Allocation for the Downlink of Cellular Systems
Author :
Heliot, Fabien ; Imran, Muhammad Ali ; Tafazolli, Rahim
Author_Institution :
Centre for Commun. Syst. Res., Univ. of Surrey, Guildford, UK
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.
Keywords :
cellular radio; energy conservation; energy consumption; resource allocation; EE optimization framework; EE-optimal; EE-suboptimal; cellular system downlink; coordinated multi-cell scenarios; energy efficiency; frequency-selective channels; global energy saving; low-complexity energy-efficient resource allocation; per-sector energy consumption; power-limited systems; power-unlimited systems; resource allocation approach; single-cell scenarios; Algorithm design and analysis; Downlink; Energy consumption; Interference; Optimization; Resource management; Energy efficiency; cellular system; multi-user; realistic power model; resource allocation;
Journal_Title :
Communications, IEEE Transactions on
DOI :
10.1109/TCOMM.2013.042313.120516