google-site-verification: google935adcf1e088011d.html Techno-Gist: Performance Modelling & Analysis of Secondary Users In Cognitive Radio Network

Tuesday, 5 February 2013

Performance Modelling & Analysis of Secondary Users In Cognitive Radio Network

Bored again..*smiles*.. Thought I'd share my project's abstract on Cognitive radio networks 
An investigation into the feasibility of improving the performance of secondary users (SU), co-existing with primary users, in cognitive radio network using different queuing systems to model and study their behaviours. Cognitive radio technology is envisaged as a solution to problem of scarcity of spectrum due to increase in the usage of wireless communication devices. However researches have that the available spectrum is underutilized, dynamic spectrum access (DSA) employing Cognitive radio technology is regarded as a promising solution to improve spectrum availability and efficiency. Cognitive radio has the capability of allowing the SUs to opportunistically explore the spectrum without interfering with the operations of the licensed users (PUs) while working towards increasing the spectrum efficiency and throughput of SU. This project investigates different possibilities of improving the performance of secondaryusers in cognitive radio network in the presence of primary users. It starts by studying the performance of secondary users in cognitive radio network with single and multiple channels under different traffic conditions using the pre-emptive resume priority (PRP) M/M/1, M/GE/1 and GE/GE/1 to characterize the traffic conditions. It studies different types of channel selection scheme and performance of SU is analysed based on the schemes. In addition, the study also considers and analyse different spectrum handoff strategy in multiple channelled systems. Furthermore, a comparative study between a model proposed in an existing paper and one proposed in this dissertation is carried out. Finally, conclusions are drawn on which handoff strategy and channel selection scheme gives best SU performance and the model proposed in this dissertation provides better SU performance than that of the existing work.

Keywords: Call loss probability Cognitive radio technology, Delay, Forced termination probability, Non-real time, Performance analysis, Queuing Network model, Real time.

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