DocumentCode :
5801
Title :
Energy-Efficient Scheduling and Power Allocation in Downlink OFDMA Networks With Base Station Coordination
Author :
Venturino, Luca ; Zappone, Alessio ; Risi, Chiara ; Buzzi, Stefano
Author_Institution :
Dipt. di Ing. Elettr. e dell´Inf., Univ. of Cassino & Lazio Meridionale, Cassino, Italy
Volume :
14
Issue :
1
fYear :
2015
fDate :
Jan. 2015
Firstpage :
1
Lastpage :
14
Abstract :
This paper addresses the problem of energy-efficient resource allocation in the downlink of a cellular orthogonal frequency division multiple access system. Three definitions of energy efficiency are considered for system design, accounting for both the radiated and the circuit power. User scheduling and power allocation are optimized across a cluster of coordinated base stations with a constraint on the maximum transmit power (either per subcarrier or per base station). The asymptotic noise-limited regime is discussed as a special case. Results show that the maximization of the energy efficiency is approximately equivalent to the maximization of the spectral efficiency for small values of the maximum transmit power, while there is a wide range of values of the maximum transmit power for which a moderate reduction of the data rate provides large savings in terms of dissipated energy. In addition, the performance gap among the considered resource allocation strategies is reduced as the out-of-cluster interference increases.
Keywords :
OFDM modulation; energy conservation; interference; optimisation; asymptotic noise-limited regime; base station coordination; cellular orthogonal frequency division multiple access system; downlink OFDMA networks; energy-efficient resource allocation; energy-efficient scheduling; maximum transmit power; of-cluster interference; power allocation; spectral efficiency; user scheduling; Base stations; Downlink; Interference; Manganese; Power control; Resource management; Wireless communication; Green communications; OFDMA; base station coordination; cellular network; downlink; energy efficiency; power control; resource allocation; scheduling;
fLanguage :
English
Journal_Title :
Wireless Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
1536-1276
Type :
jour
DOI :
10.1109/TWC.2014.2323971
Filename :
6815733
Link To Document :
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