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PERCOM
2009
ACM

Markov Chain Existence and Hidden Markov Models in Spectrum Sensing

9 years 3 months ago
Markov Chain Existence and Hidden Markov Models in Spectrum Sensing
—The primary function of a cognitive radio is to detect idle frequencies or sub-bands, not used by the primary users (PUs), and allocate these frequencies to secondary users. The state of the sub-band at any time point is either free (unoccupied by a PU) or busy (occupied by a PU). The states of a sub-band are monitored over L consecutive time periods, where each period is of a given time interval. Existing research assume the presence of a Markov chain for sub-band utilization by PUs over time, but this assumption has not been validated. Therefore, in this paper we validate existence of a Markov chain for subband utilization using real-time measurements collected in the paging band (928-948 MHz). Furthermore, since the detection of idle sub-bands by a cognitive radio is prone to errors, we probabilistically model the errors and then formulate a spectrum sensing paradigm as a Hidden Markov model that predicts the true states of a sub-band. The accuracy of our proposed method in predi...
Chittabrata Ghosh, Carlos de M. Cordeiro, Dharma P
Added 19 May 2010
Updated 19 May 2010
Type Conference
Year 2009
Where PERCOM
Authors Chittabrata Ghosh, Carlos de M. Cordeiro, Dharma P. Agrawal, M. Bhaskara Rao
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