Cross-Layer Analytical Model for Cognitive Radio Network under Engset and M/G/1/m Traffic

Authors

  • Sajib Kumar Kuri Department of Computer Science & Engineering, Jahangirnagar University, Dhaka
  • Risala Tasin Khan Department of Computer Science and Engineering, Jahangirnagar University, Dhaka
  • Md. Imdadul Islam Department of Computer Science and Engineering, Jahangirnagar University, Dhaka

Keywords:

Cognitive radio network, dynamic spectrum access, limited user traffic, false alarm, cross-layer model

Abstract

This paper deals with the performance of secondary users (SUs) based on dynamic scheduling of users based on cross-layer analytical model. Under this scheme the number secondary users in a network are kept limited to discourage malicious users hence Engset’s traffic model is more appropriate than the Erlang’s model of previous literature. We also incorporate M/G/1(m) traffic model, applicable for ATM/TCP-IP traffic, in cognitive radio network under crosslayer analytical model. Finally, impact of spectrum sensing period and probability of false alarm on blocking probability of secondary users are analyzed.

Published

2014-06-01

How to Cite

Sajib Kumar Kuri, Risala Tasin Khan, & Md. Imdadul Islam. (2014). Cross-Layer Analytical Model for Cognitive Radio Network under Engset and M/G/1/m Traffic. Jahangirnagar University Journal of Electronics and Computer Science, 15, 1–5. Retrieved from https://ecs.ju-journal.org/jujecs/article/view/25

Issue

Section

Articles