Energy Sensing Strategy Optimization for Opportunistic Spectrum Access


This paper introduces a correlator-primarily based energy sensing strategy for opportunistic spectrum access in a very slow, flat-fading channel. The correlator provides weighted energy accumulation in time. We assume that the noise variance is understood and the first user (PU) traffic follows a 2 state Markov chain with known idle and busy rates. Using Chebyshev bounds on missed detection and false alarm possibilities, we find that the optimal weighting function is an increasing perform of time and its shape depends on the PU traffic characteristics and SNR. We have a tendency to show that the traditional flat-integration primarily based energy assortment technique is suboptimal both in the error chance and channel utilization sense.

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