Performance Analysis of Cellular Internet of Things Using Cognitive Radio

Priyanka Mishra, Prabhat Thakur, G. Singh

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


Cognitive radio is a promising technique for cellular Internet of Things including 4G/5G in next generation wireless systems. The challenges of the next generation wireless networks include reducing the overall latency of the cellular networks and enhancing the spectral efficiency without compromising reliability and computational complexity. The feasible solution is the existence of networks operating over different frequency bands. However, the major challenges are data bandwidth support and spectrum availability. Cognitive radio networks are the best option available to meet all these challenges for cellular IoT and 5G beyond networks. The main objective of cognitive radio is to sense the spectrum for empty slots. In this chapter, an algorithm based on spectrum sensing is presented. The algorithm senses the spectrum using multiple sequences of primary and secondary users and empty slots are filled. Cognitive radio technology is implemented for enhancing the detection probability of the target. Thus, overall spectral efficiency increases.

Original languageEnglish
Title of host publicationInternet of Things
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages15
Publication statusPublished - 2024

Publication series

NameInternet of Things
VolumePart F1851
ISSN (Print)2199-1073
ISSN (Electronic)2199-1081


  • Cognitive Radio
  • Dynamic spectrum access
  • Frequency bands
  • Internet of Things (IoT)
  • Spectrum sharing

ASJC Scopus subject areas

  • Signal Processing
  • Instrumentation
  • Computer Science Applications
  • Computer Networks and Communications
  • Computational Theory and Mathematics
  • Artificial Intelligence


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