DocumentCode :
679671
Title :
Energy-efficient resource allocation for orthogonal multi-antenna multi-carrier channel
Author :
Heliot, Fabien ; Imran, Muhammad Ali ; Tafazolli, Rahim
Author_Institution :
Centre for Commun. Syst. Res. (CCSR), Univ. of Surrey, Guildford, UK
fYear :
2013
fDate :
29-31 Oct. 2013
Firstpage :
109
Lastpage :
114
Abstract :
Energy efficiency (EE) is growing in importance as a key performance indicator for designing the next generation of communication systems. Equally, resource allocation is an effective approach for improving the performance of communication systems. In this paper, we propose a low-complexity energy-efficient resource allocation method for the orthogonal multi-antenna multi-carrier channel. We derive explicit formulations of the optimal rate and energy-per-bit consumption for the per-antenna transmit power constrained and per-antenna rate constrained EE optimization problems as well as provide a low-complexity algorithm for optimally allocating resources over the orthogonal multi-antenna multi-carrier channel. We then compare our approach against a classic optimization tool in terms of energy efficiency as well as complexity, and results indicate the optimality and low-complexity of our approach. Comparing EE-optimal with spectral efficiency and power optimal allocation approaches over the orthogonal multi-antenna multi-carrier channel indicates that the former provides a good trade-off between power consumption and sum-rate performances.
Keywords :
antenna arrays; energy conservation; optimisation; low-complexity energy-efficient resource allocation method; orthogonal multiantenna multicarrier channel; per-antenna rate constrained EE optimization problems; per-antenna transmit power constrained EE optimisation problem; Complexity theory; MIMO; Optimization; Power demand; Resource management; Transmitting antennas; Energy efficiency; MIMO; multi-carrier; realistic power model; resource allocation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Online Conference on Green Communications (GreenCom), 2013 IEEE
Conference_Location :
Piscataway, NJ
Type :
conf
DOI :
10.1109/OnlineGreenCom.2013.6731037
Filename :
6731037
Link To Document :
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