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
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