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[IEEE 2014 XXXIth URSI General Assembly and Scientific Symposium (URSI GASS) - Beijing, China (2014.8.16-2014.8.23)] 2014 XXXIth URSI General Assembly and Scientific Symposium (URSI GASS) - A Q-learning game-theory-based algorithm to improve the energy efficiency of a multiple relay-aided network

[IEEE 2014 XXXIth URSI General Assembly and Scientific Symposium (URSI GASS) - Beijing, China (2014.8.16-2014.8.23)] 2014 XXXIth URSI General Assembly and Scientific Symposium (URSI GASS) - A Q-learning game-theory-based algorithm to improve the energy efficiency of a multiple relay-aided network

Shams, Farshad; Bacci, Giacomo; Luise, Marco

作者Shams, Farshad; Bacci, Giacomo; Luise, Marco
文件大小2947.63KB
发表时间2014
DOI10.1109/ursigass.2014.6929244
页码1-4

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