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Learning And Identification Of Wireless Network Internode Dynamics Using Software Defined Radio, Benjamin Elliott Carroll
Learning And Identification Of Wireless Network Internode Dynamics Using Software Defined Radio, Benjamin Elliott Carroll
LSU Master's Theses
The recently developed paradigm of cognitive radio wireless devices has been developed with the goal of achieving more customizable and efficient spectrum utilization of commonly used wireless frequency bands. The primary focus of such spectrum utilization approaches has been to discern occupancies and vacancies over portions of the wireless spectrum without necessarily identifying how specific radio frequency (RF) devices contribute to the temporal dynamics of these occupancy patterns within the spectrum. The aim of this thesis is to utilize a hidden semi-Markov model (HSMM) statistical analysis to infer the individual occupancy patterns of specific users from wireless RF observation traces. …