Analysis of high-traffic cognitive radio network with imperfect spectrum monitoring technique

Prabhat Thakur, Alok Kumar, S. Pandit, G. Singh, S. N. Satashia

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)


This paper introduces the concept of imperfect spectrum monitoring for realistic wireless communication environments with high-traffic cognitive radio networks (HTCRN). The effect of imperfect spectrum monitoring in the HTCRN is analyzed in terms of the probability of data-loss (in the form of packets) and interference at primary user (PU). Further, two algorithms are proposed to compute the data-loss and interference-at-PU considering different scenarios of the traffic-intensity and spectrum monitoring error. Moreover, the closed-form expressions for the ratio of achieved-throughput to the data-loss, power-wastage, interference-efficiency as well as energy-efficiency are derived, and numerically simulated results are presented to support the proposed work. Furthermore, the randomness in emergence of PU is considered and the Monte-Carlo simulations are exploited to validate the numerically simulated results.

Original languageEnglish
Pages (from-to)27-37
Number of pages11
JournalComputer Networks
Publication statusPublished - 24 Dec 2018
Externally publishedYes


  • Cognitive radio
  • Data-loss
  • Energy-efficiency
  • Interference-efficiency
  • Spectrum monitoring
  • Throughput

ASJC Scopus subject areas

  • Computer Networks and Communications


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