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Spectrum occupancy prediction provides cognitive radio secondary users with proactive ability to exploit spectrum opportunities. When feasible, spectrum sensing outcome can be further analysed to assist secondary users to pre-emptively avoid interfering with primary users. Where applicable, cooperative spectrum prediction in multi-user environment has the potential to overcome limitations of local...
Spectrum occupancy prediction is a key enabler of agile, and proactive spectrum utilization in dynamic spectrum access networks. Bayesian-based techniques manifested by Hidden Markov Model provide powerful, and flexible tools for statistical spectrum prediction. In this paper, we simulate the performance of single step-ahead prediction, in terms of observation process errors, and state transition...
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