Cross-Layer Analytical Model for Cognitive Radio Network under Engset and M/G/1/m Traffic
Keywords:Cognitive radio network, dynamic spectrum access, limited user traffic, false alarm, cross-layer model
This paper deals with the performance of secondary users (SUs) based on dynamic scheduling of users based on cross-layer analytical model. Under this scheme the number secondary users in a network are kept limited to discourage malicious users hence Engset’s traffic model is more appropriate than the Erlang’s model of previous literature. We also incorporate M/G/1(m) traffic model, applicable for ATM/TCP-IP traffic, in cognitive radio network under crosslayer analytical model. Finally, impact of spectrum sensing period and probability of false alarm on blocking probability of secondary users are analyzed.
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