Investigation of Various Techniques of Spectrum Sensing for Power Detection in Cognitive Radio

Authors

  • M Monisha
  • C Sharanya
  • M Meena
  • V Rajendran

DOI:

https://doi.org/10.14419/ijet.v7i3.27.17993

Published:

2018-08-15

Keywords:

Cognitive radio, radio spectrum, spectrum sensing, spectrum mobility, spectrum management, spectrum sharing, power spectral density.

Abstract

The most competitiveness among the remote clients in India, transfer speed turns into the noticeable factor. Every one of the clients search for financially savvy and frightfully proficient frameworks to utilize the data transfer capacity viably for the essential and the auxiliary client. In this association, the current research on various MAC layers plainly uncovers that MC-CDMA procedure is giving a promising information throughput and better ghastly productivity. In the current present day advancement the medium range correspondence frameworks like dispatch administrations, roadway administrations, inn segment administrations is winding up exceptionally prevalent and every one of these applications needs an organized range detecting, range openings, range sharing, range administration, and range planning. Every one of these variables is kept up by intellectual radio approach. In this paper we examine about different procedures of range detecting in intellectual radios and its energy phantom thickness is assessed.

 

 

References

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[2] Hemalatha M, Prithviraj V, Jayalalitha S, Thenmozhi K, Bharadwaj D & Girish GK, “A survey report on spectrum sensing techniques in cognitive radioâ€, Journal of Theoretical and Applied Information Technology, Vol. 37, No.1, (2012), pp.32-38.

[3] Mitola J, “Cognitive radio: an integrated agent architecture for software defined radioâ€, Ph.D. Dissertation, KTH Royal Institute of Technology, Stockholm, Sweden, (2000).

[4] Surendran R, Muthumeenakshi K & Radha S, “A distributed algorithm for dynamic spectrum access using primary-prioritised markov modelâ€, International Conference on Process Automation, Control and Computing (PACC), (2011), pp.1-5.

[5] Saloni PB, “Spectrum Sensing in Cognitive Radio by Statistical Matched Wavelet Method and Matched Filterâ€, International Journal of Electronics & Communication Technology, Vol.7, No.1, pp.33-39.

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