Fuzzy Reinforcement Learning for Dynamic Power Control in Cognitive Radio Networks

Jerzy Martyna

doi:10.1007/978-3-319-07173-2_21

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Fuzzy Reinforcement Learning for Dynamic Power Control in Cognitive Radio Networks

Jerzy Martyna

Year: 2014 Lecture notes in computer science Pages: 233-242 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-319-07173-2_21

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Keywords:

Cognitive radio Reinforcement learning Computer science Power control Fuzzy logic Cognitive network Computer network Interference (communication) Transmission (telecommunications) Resource allocation Control (management) Radio resource management Q-learning Artificial intelligence Distributed computing Power (physics) Telecommunications Wireless network Wireless Channel (broadcasting)

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Cognitive Radio Networks and Spectrum Sensing

Physical Sciences → Computer Science → Computer Networks and Communications

Wireless Communication Networks Research

Physical Sciences → Computer Science → Computer Networks and Communications

Advanced MIMO Systems Optimization

Physical Sciences → Engineering → Electrical and Electronic Engineering

Fuzzy Reinforcement Learning for Dynamic Power Control in Cognitive Radio Networks

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