Title | ||
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Distributed Opportunistic Spectrum Access in an Unknown and Dynamic Environment: A Stochastic Learning Approach. |
Abstract | ||
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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 Cao | 1 | 23 | 2.67 |
Jun Cai | 2 | 373 | 39.29 |