Spectral Efficiency Evaluation of Binomial and Poissonian Primary Traffics in Cognitive Radio Networks

Cognitive Radio is an enabling agile technology for communication and channels sharing in multimedia and wireless networks. In this paper, we consider multimedia traffic transmission over Cognitive Radio (CR) networks using a progressive source coding associated to fountain codes. For a Cognitive Radio infrastructure where the spectrum is owned by Primary Users (PUs) that have Binomial and/or Poissonian traffics, Secondary Users (SUs) are allowed to share these spectral resources using the Opportunistic Spectrum Sharing feature of the Cognitive Radio concept. The objective of this paper lies in characterizing the reliability and as a result evaluating the performance of the secondary multimedia service provision under both primary traffic types in lossy Cognitive Radio environments. Besides, we have conducted a general analysis for many still open issues in Cognitive Radio. Meanwhile, we tackle three critical factors responsible for secondary service disruption: primary traffic interruptions, concurrent access to shared frequency bands leading to collisions and subchannels characteristics. Numerical simulations, in view of the average Spectral Efficiency, examine the performance of the multimedia transmission under the primary interruptions caused by the Binomial and the Poissonian primary applications and consider also the dynamics between the competing secondary peers in addition to subchannels fading and noise. Some graphs have been computed and plotted for some system parameters to describe the available trade-offs for a given video transmission.