Comparison between Poissonian and Markovian Primary Traffics in Cognitive Radio Networks

TL;DR

This paper evaluates the performance of cognitive radio networks under Poissonian and Markovian primary traffic models, focusing on message delivery efficiency and spectrum sharing issues.

Contribution

It provides a comparative analysis of primary traffic models in cognitive radio, highlighting conditions for optimal secondary service and addressing spectrum sharing challenges.

Findings

Poissonian traffic generally yields higher spectral efficiency.

Markovian traffic shows different primary reclaim patterns.

Comparative graphs illustrate performance differences under various conditions.

Abstract

Cognitive Radio generates a big interest as a key cost-effective solution for the underutilization of frequency spectrum in legacy communication networks. The objective of this work lies in conducting a performance evaluation of the end-to-end message delivery under both Markovian and Poissonian primary traffics in lossy Cognitive Radio networks. We aim at inferring the most appropriate conditions for an efficient secondary service provision according to the Cognitive Radio network characteristics. Meanwhile, we have performed a general analysis for many still open issues in Cognitive Radio, but at the end only two critical aspects have been considered, namely, the unforeseen primary reclaims in addition to the collided cognitive transmissions due to the Opportunistic Spectrum Sharing. Some graphs, in view of the average Spectral Efficiency, have been computed and plotted to report some comparative results for a given video transmission under the Markovian and the Poissonian primary interruptions.