Designing a Markov Model for the Analysis of 2-tier Cognitive Radio Network

Cognitive Radio Network (CRN) aims to reduce spectrum congestion by allowing secondary users to utilize idle spectrum bands in the absence of primary users. However, the overall user capacity and hence, the system throughput is bounded by the total number of available idle channels in the system. This paper aims to solve the problem of limited user capacity in basic CRN by proposing a 2-tier CRN that allows another tier (or layer) of secondary users to transmit, in addition to the already existing set of primary and secondary users in the system. Markov Models are designed step-wise to map the interaction between primary and secondary users in both tiers by including suitable traffic distribution models and system parameters. Spectrum handoff is also incorporated in the developed Markov Models. Performance analysis is carried out in terms of SU transmission, dropping, blocking and handoff probabilities along with mathematical formulation of the overall SU throughput in 2-tier CRN. It confirms better spectrum utilization in spectrum handoff enabled 2-tier CRN over basic CRN with enhancement in quality of service for secondary users in terms of reduced dropping and blocking probabilities.

@article{Chakraborty2013,
  title     = {Designing a Markov Model for the Analysis of 2-tier Cognitive Radio Network},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {4},
  number    = {6},
  year      = {2013},
  publisher = {The Science and Information Organization},
  author    = {Tamal Chakraborty and Iti Saha Misra},
  doi       = {10.14569/IJACSA.2013.040625},
  url       = {https://doi.org/10.14569/IJACSA.2013.040625}
}