Spectrum learning and access for cognitive satellite communications under jamming
Yi Shi, Yalin E. Sagduyu · 2016
This paper presents a robust dynamic spectrum access (DSA) decision making framework for a satellite communication (SATCOM) system with primary users (PUs) and secondary users (SUs) operating in the presence of cognitive jammers. Different levels of uncertainty are considered for the channel availability under SATCOM delays and jamming effects. Spectrum uncertainty is quantified regarding the parameter estimation for Markov model of spectrum occupancy and the prediction of future channel states under SATCOM delays. Based on these uncertainty models, the optimal spectrum sensing approach is used to identify available channels. Both offline and online algorithms are used for DSA. Offline algorithm first learns spectrum dynamics and then applies DSA, whereas online learning repeats this process and adapts to fast spectrum dynamics. Results show performance gains of DSA over the case without considering spectrum uncertainty.