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Repeated auctions with Bayesian nonparametric learning for spectrum access in cognitive radio networks
Zhu Han
, Rong Zheng
,
H. Vincent Poor
Electrical and Computer Engineering
High Meadows Environmental Institute
Center for Statistics & Machine Learning
Research output
:
Contribution to journal
›
Article
›
peer-review
92
Scopus citations
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Dive into the research topics of 'Repeated auctions with Bayesian nonparametric learning for spectrum access in cognitive radio networks'. Together they form a unique fingerprint.
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Keyphrases
Non-Bayesian Learning
100%
Repeated Auctions
100%
Belief Updating
66%
Goods Trade
33%
Long-term Efficiency
33%
One-stage Algorithm
33%
User Pays
33%
Auction Game
33%
Incomplete Information Dynamic Game
33%
Entry Costs
33%
Engineering
Cognitive Radio Networks
100%
Secondary User
100%
Spectrum Access
100%
Transmissions
33%
Learning Algorithm
33%
Incomplete Information
33%
Dirichlet
33%
Primary User
33%
Computer Science
Secondary User
100%
Spectrum Access
100%
Cognitive Radio Networks
100%
Learning Algorithm
33%
Distributed Nature
33%
Incomplete Information
33%
Dirichlet Process
33%