Design and Implementation of Multiple-User Variable Rate Channel Assignment Method in Cognitive Radio System

  • Conference paper
  • First Online:
Advanced IoT Sensors, Networks and Systems (SPIN 2022)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1027))

Included in the following conference series:

  • 160 Accesses

Abstract

With the ever-growing demand for technological advancement in the field of wireless communication to accommodate the huge increase in users, research on cognitive radio has been flourishing. Apart from develo** ways to utilize the underused portions of the spectrum, it is equally important to explore the unused portion to expand its utility. In this paper, a technique for channel assignment is proposed which takes the available data rates of the vacant channels as well as the data rate required by the secondary users. For the purpose of comparing the effectiveness of the proposed method, simulation of this process is carried out in comparison with the sequential method. The number of secondary users served for a range of busy probabilities is found out and the obtained results are used to plot a graph which can be used to determine how the variable data rate assignment method utilizes the available channels better than the existing sequential method.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 229.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 299.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Free ship** worldwide - see info
Hardcover Book
USD 299.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Pandya P, Durvesh A, Parekh N (2015) Energy detection based spectrum sensing for cognitive radio network. In: 2015 Fifth International Conference on Communication Systems and Network Technologies. pp 201–206. https://doi.org/10.1109/CSNT.2015.264

  2. Ridhima, Buttar AS (2019) Fundamental operations of cognitive radio: a survey. In: 2019 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT). pp. 1–5. https://doi.org/10.1109/ICECCT.2019.8869190.

  3. Liau D, Chen K, Cheng S (2013) A predator-prey model for dynamics of cognitive Rradios. IEEE Commun Lett 17(3):467–470. https://doi.org/10.1109/LCOMM.2013.020513.122120

    Article  Google Scholar 

  4. Saleem Y, Rehmani MH (2014) Primary radio user activity models for cognitive radio networks: A survey. J Netw Comput Appl 43: 1–16. ISSN 1084–8045.

    Google Scholar 

  5. Wei Z, Hu B (2018) A fair multi-channel assignment algorithm with practical implementation in distributed cognitive radio networks. IEEE Access 6:14255–14267. https://doi.org/10.1109/ACCESS.2018.2808479

    Article  Google Scholar 

  6. Chen J, ** S, Jia J, Deng Y, Dohler M, Aghvami H (2016) Cross-layer optimization for spectrum aggregation-based cognitive radio ad-hoc networks. In: 2016 IEEE Global Communications Conference (GLOBECOM). pp 1–6. https://doi.org/10.1109/GLOCOM.2016.7841708

  7. Akhtar F, Rehmani MH, Reisslein M (2016) White space: definitional perspectives and their role in exploiting spectrum opportunities. Telecommun Policy 40(4): 319–331. ISSN 0308–5961.

    Google Scholar 

  8. Salameh HAB, Al-Masri S, Benkhelifa E, Lloret J (2019) Spectrum assignment in hardware-constrained cognitive radio IoT networks under varying channel-quality conditions. IEEE Access 7:42816–42825. https://doi.org/10.1109/ACCESS.2019.2901902

    Article  Google Scholar 

  9. Bany Salameh H, Shraideh S, Alshamali A (2020) Joint channel assignment and adaptive mode selection in MIMO-based cognitive radio networks. Arab J Sci Eng 45: 10233–10244.

    Google Scholar 

  10. Salameh HB, Badarneh OS (2013) Opportunistic medium access control for maximizing packet delivery rate in dynamic access networks. J Netw Comput Appl 36(1): 523–532. ISSN 1084–8045.

    Google Scholar 

  11. Ridhima, Buttar AS (2019) Proficient pesource allocation to secondary user using Nnature inspired technique in cognitive radio Nnetwork. In: 2019 International Conference on Communication and Electronics Systems (ICCES). pp. 1755–1761. https://doi.org/10.1109/ICCES45898.2019.9002174.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kuber Vijaykumar Bellad .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Mallikarjuna, G.C.P., Bellad, K.V., Prajwal, P., Hima, V., Suresh, N. (2023). Design and Implementation of Multiple-User Variable Rate Channel Assignment Method in Cognitive Radio System. In: Dubey, A.K., Sugumaran, V., Chong, P.H.J. (eds) Advanced IoT Sensors, Networks and Systems. SPIN 2022. Lecture Notes in Electrical Engineering, vol 1027. Springer, Singapore. https://doi.org/10.1007/978-981-99-1312-1_5

Download citation

Publish with us

Policies and ethics

Navigation