Dynamic approach for spectrum sharing in cognitive radio

 
 
 
  • Abstract
  • Keywords
  • References
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  • Abstract


    Due to fixed spectrum allocation phenomenon (FSA), spectrum agreement failed to satisfy the demanded of the evolving technolo-gies. However, cognitive radio has approached for utilizing the spectrum and substituting resources deficiency. The number of radio users is tragically increasing since human turns technologies in all sectors; even those users of licensed band are demanding larger radio spectrum. Users may get assigned into other bands to balance the radio spectrum congestion. In this paper, we proposed model to overcome radio deficiency. This paper is highlighting the spectrum sharing performance constrains. Time delay and throughput are studied under different spectrum sharing techniques.

     

     


     

  • Keywords


    Spectrum sensing (SS); Frequency Division Multiplexing (FDM); Cognitive User; Licensed Band (LB); Underlay; Interweave.

  • References


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      [2] International Telecommunication Union´s Radio Regulations, Edition of 2012.

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      [5] ParthaPratim Bhattacharya, RonakKhandelwal, Rishita Gera, Anjali Agarwal,” Smart Radio Spectrum Management for Cognitive Radio”, Department of Electronics and Communication Engineering Faculty of Engineering and Technology Mody Institute of Technology and Science (Deemed University), International Journal of Distributed and Parallel Systems (IJDPS) Vol.2, No.4, July 2011.

      [6] Bablu Kumar Singh, Jitendra Jangir, “A Study of Recent Trends in Cognitive Radio Communications and Networks for Licence Free Connectivity”, International Journal of Engineering Research & Technology (IJERT) ISSN: 2278-0181.

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      [8] JyotshanaKanti and Geetam Singh Tomar, “Various Sensing Techniques in Cognitive Radio Networks: A Review”, International Journal of Grid and Distributed Computing Vol. 9, No. 1 (2016), pp.145-154 https://doi.org/10.14257/ijgdc.2016.9.1.15.

      [9] Nabil Giweli, SeyedShahrestani and Hon Cheung, “Selection of Spectrum Sensing Method to Enhance Qos In Cognitive Radio Networks”, International Journal of Wireless & Mobile Networks (IJWMN) Vol. 8, No. 1, February 2016.

      [1] NavpreetKaur, “Analysis of Spread Spectrum Techniques in Cognitive Radio Networks”, International Journal of Applied Engineering Research ISSN 0973-4562 Volume 11, Number 8 (2016) pp 5641-5645.


 

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Article ID: 20745
 
DOI: 10.14419/ijet.v7i4.20745




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