Title
Distributed Opportunistic Spectrum Access in an Unknown and Dynamic Environment: A Stochastic Learning Approach.
Abstract
In this paper, the problem of distributed throughput maximization in an opportunistic spectrum access network with multiple secondary users (SUs) and multiple primary channels is investigated. To address the challenges in designing efficient solutions in a dynamic and unknown environment, we formulate the optimization problem as a noncooperative game, which is further proved to be an ordinal poten...
Year
DOI
Venue
2018
10.1109/TVT.2018.2789344
IEEE Transactions on Vehicular Technology
Keywords
Field
DocType
Games,Throughput,Information exchange,Convergence,Heuristic algorithms,Sensors,Algorithm design and analysis
Control channel,Mathematical optimization,Learning automata,Algorithm design,Computer science,Potential game,Information exchange,Computer network,Nash equilibrium,Optimization problem,Access network
Journal
Volume
Issue
ISSN
67
5
0018-9545
Citations 
PageRank 
References 
3
0.38
0
Authors
2
Name
Order
Citations
PageRank
Huijin Cao1232.67
Jun Cai237339.29