Machine learning and energy efficient cognitive radio.
In addition to this, the thesis investigates the energy efficient cognitive radio systems because energy harvesting enables the perpetual operation of the wireless networks without the need of battery change. In particular, energy can be harvested from the radio waves in the radio frequency spectrum.
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PhD theses from CMI. Spectrum Utilisation and Management in Cognitive Radio Network. KISHOR PUNA PATIL. The demand for radio spectrum for wireless communication is growing due to increase in number of users and popularity of data and multimedia services. Dynamic Spectrum Access (DSA) and the spectrum refarming are the two viable solutions for.
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DYNAMIC SPECTRUM ACCESS IN COGNITIVE RADIO NETWORKS by Thomas Charles Clancy III Dissertation submitted to the Faculty of the Graduate School of the University of Maryland, College Park in partial ful llment of the requirements for the degree of Doctor of Philosophy 2006 Advisory Commmittee: Professor William Arbaugh, Chair Professor Jonathan Katz.
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Cognitive radio (CR) an innovative concept of reusing licensed spectrum in an opportunistic manner promises to overcome the evident spectrum underutilization caused by the inflexible spectrum allocation. Spectrum sensing in an unswerving and.
