Modeling and Analysis Framework for Multi-Interface Multi-Channel Cognitive Radio Networks


The concept of a multi-interface multi-channel cognitive radio is both novel and promising. Indeed, such opportunistic access to the spectrum, over multiple channels in a simultaneous manner, will give a lot of higher information rates and higher seamless communication while decreasing the possibility of interference to licensed users. In this vein, this paper proposes an in depth modeling and analysis of multi-interface multi-channel cognitive radio networks. The analytical efforts result in the representation of each cognitive node with a a pair of-D Markov chain. Among the findings of the proposed modeling and analysis is the chance mass operate of the secondary user (SU)'s queue length, from that any higher moment will be extracted. Additionally, the stability condition, beyond that the network can not be thought-about operative any more, springs. Statistical tests are conducted to work out the characteristics of the queue length's tail distribution. The accuracy of the analytical results is corroborated with simulation experiments. The proposed modeling is fairly sensible as it takes into account issues like sensing faults and channel imperfections, asynchronism among SUs, distance, and the first activity level. Additionally, the model is helpful for the performance analysis and style of other sorts of cognitive networks furthermore, including cognitive-radio-primarily based wireless regional space networks.

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