Spectrum Sensing for Cognitive Radio Networks
Date
2015
Authors
Sun, Yuandao
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Abstract
Cognitive radio has been proposed as a technology for reclaiming highly under-utilized spectrum resources to satisfy the increasing spectrum demand. In a cognitive radio network, unlicensed or secondary users (SUs) are permitted to make use of portions of a licensed spectrum band that are left idle by the licensed or primary users (PUs). These idle portions of spectrum, called spectrum holes, exist in the dimensions of space, time, and frequency. In this thesis, we develop mathematical models and algorithms for detecting spectrum holes in a fixed frequency band, which are characterized either in space or in time.
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Keywords
Electrical engineering, Computer engineering, Computer science, Aggregate interference, Cognitive Radio Network, Collaboration, Hidden Markov Model, Online parameter estimation, Spectrum Sensing