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This paper develops a computationally efficient method to evaluate the competitive performance of multiple spectrum access strategies when they coexist and compete with each other in a heterogeneous cognitive radio network (CRN).We use aMarkov Model Bank (MMB) to model the operations of the heterogeneous CRN. Various spectrum sensing errors, spectrum sensing strategies, and spectrum access strategies...
The competitive coexistence of a large number of secondary users in heterogeneous cognitive radio networks (CRN) is a challenging issue. In this paper, we address this issue by developing an efficient approach to analyze the competition among the secondary users. Based on the Markov model bank that we developed recently, we can change the evaluation of the secondary user throughput into studying a...
In this paper, we develop a Markov Model Bank (MMB) to analyze the heterogeneous cognitive radio networks (CRN) with a large number of dissimilar secondary users (SU) coexisting and competing for multiple dissimilar channels. The MMB consists of a separate Markov chain for each SU. The Markov chains are connected implicitly by a few state transitional probabilities that can be derived by analyzing...
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