Optimal decision making in cognitive radio networks

Arunthavanathan, S 2016, Optimal decision making in cognitive radio networks, Doctor of Philosophy (PhD), Electrical and Computer Engineering, RMIT University.

Document type: Thesis
Collection: Theses

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Title Optimal decision making in cognitive radio networks
Author(s) Arunthavanathan, S
Year 2016
Abstract Cognitive Radio Networks are being researched upon heavily in the various layers of the communication structure. The task of bringing software in the physical layer of communication system led to the concept of a smart radio being able to learn, adapt and make intelligent decisions in an autonomous manner by use of a Software Defined Radio. This work provides novel concepts in the areas of spectrum sensing, learning of ongoing transmissions through Reinforcment learning, use of a game theoretic concept such as Zero-sum game for resilience of authorized users in cases of jamming, and decision making of user transmissions through Markov Decision processes. This is highly applicable in dynamic radio environments such as emergency communications required during natural disasters, large scale events and in mobile wireless communications. Such applications come under the "Internet of Things".
Degree Doctor of Philosophy (PhD)
Institution RMIT University
School, Department or Centre Electrical and Computer Engineering
Subjects Wireless Communications
Electrical and Electronic Engineering not elsewhere classified
Computer Communications Networks
Keyword(s) Cognitive Radio
Spectrum Sensing
Decison Making
Reinforcement Learning
Game Theory
Markov Decision Process
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Created: Tue, 24 Apr 2018, 10:52:15 EST by Keely Chapman
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