Learning to be energy-efficient in cooperative networks

IEEE Communications Letters

Volumn 20, Issue 12, 2016, Pages 2518-2521

  Tian, Daxin ^a   Zhou, Jianshan ^a   Sheng, Zhengguo ^b   Ni, Qiang ^c  

^a BEIHANG UNIVERSITY   (China)

^b UNIVERSITY OF SUSSEX   (United Kingdom)

^c LANCASTER UNIVERSITY   (United Kingdom)

Author keywords

Cooperative networks; decentralized learning; energy efficiency; self organized relay selection

Indexed keywords

COMPUTATION THEORY; COOPERATIVE COMMUNICATION; DECISION MAKING; GAME THEORY; STOCHASTIC SYSTEMS;

COMPARATIVE SIMULATION; COOPERATIVE NETWORKS; DECENTRALIZED LEARNING; FAIRNESS PERFORMANCE; GAME THEORETIC ANALYSIS; NASH EQUILIBRIUM STATE; NASH EQUILIBRIUM STRATEGIES; RELAY SELECTION;

ENERGY EFFICIENCY;

EID: 85027074968     PISSN: 10897798     EISSN: None     Source Type: Journal    
DOI: 10.1109/LCOMM.2016.2608820     Document Type: Article

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