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Cognitive radio networks: Game modeling and self-organization using stochastic learning
Chen Hao Lin
, Li Chuan Tseng
,
Ching-Yao Huang
電子研究所
研究成果
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Conference contribution
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Keyphrases
Cognitive Radio Networks
100%
Stochastic Learning
100%
Self-organization
100%
Network Games
100%
Game Modeling
100%
Base Station
66%
Game Model
33%
Numerical Results
33%
Network Architecture
33%
Cognitive Radio
33%
Spectrum Scarcity
33%
Learning-based
33%
Promising Solutions
33%
Cognitive Radio User
33%
Spectrum Resources
33%
Access Methods
33%
High Demand
33%
Resource Base
33%
Spectrum Utilization
33%
Nash Equilibrium Point
33%
Reward History
33%
Total Utility
33%
Dynamic Spectrum Access
33%
Demand Spectrum
33%
Radio Base Stations
33%
Cournot Game
33%
Engineering
Basestation
100%
Cognitive Radio Networks
100%
Self-Organization
100%
Cognitive Radio
66%
Nash Equilibrium
33%
Equilibrium Point
33%
Spectrum Utilization
33%
Spectrum Resource
33%
Dynamic Spectrum Access
33%
Game Model
33%
Computer Science
Cognitive Radio Network
100%
Cognitive Radio
66%
Network Architecture
33%
Equilibrium Point
33%
Access Technique
33%
Nash Equilibrium
33%
Spectrum Resource
33%
Spectrum Utilization
33%
Dynamic Spectrum Access
33%
Directly Access
33%