Skip to main content

Intelligent Cognitive Radio Communications: A Detailed Approach

  • Chapter
  • First Online:

Part of the book series: EAI/Springer Innovations in Communication and Computing ((EAISICC))

Abstract

There is prolific utility challenge posed by the high demand for Cognitive Radio (CR). To address this issue, CR has risen as the key innovation, which empowers artful access to the radio spectrum. The aspect of cognitive radio utilizes remote sensing whereby a handset can be used to denote the spectrum that is being utilized and those that are excluded. Moreover, the device can also be applied when evaluating a strategic dimension from controlled ones. This form of application enhances the use of available remote-recurrences and ranges whereas limiting any forms of obstructions from clienteles. In this research, we present a cutting edge on the utilization of Multi-Agent Systems (MAS) to tackle the issue of range segment and guarantee better administration. At that point, we propose another methodology, which utilizes the CR for enhancing remote correspondence for a single cognitive radio portable terminal.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   129.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Khan, S., Mitschele-Thiel, A.: Hypernetworks based radio spectrum profiling in cognitive radio networks. EAI Endorsed Trans. Cognit. Commun. 1(2), e5 (2015)

    Article  Google Scholar 

  2. Kuiper, D., Wenkstern, R.: Agent vision in multi-agent based simulation systems. Auton. Agent. Multi Agent Syst. 29(2), 161–191 (2014)

    Article  Google Scholar 

  3. Tsuji, H., Tsukamoto, K., Suzuki, K., Nagayama, H.: Development of high-speed mobile radio communication systems using 40 GHz frequency band. Radio Sci. 51(7), 1220–1233 (2016)

    Article  Google Scholar 

  4. Liu, T., Shao, S., Ye, D., Tang, Y., Zhou, Y.: Visual cognitive radio. Concurr. Comput. Pract Exp. 24(11), 1252–1260 (2011)

    Article  Google Scholar 

  5. Wu, Y.: Localization algorithm of energy efficient radio spectrum sensing in cognitive internet of things radio networks. Cogn. Syst. Res. 52, 21–26 (2018)

    Article  Google Scholar 

  6. Anandakumar, H., Umamaheswari, K.: An efficient optimized handover in cognitive radio networks using cooperative spectrum sensing. Intell. Autom. Soft Comput. 1–8 (2017)

    Google Scholar 

  7. Anandakumar, H., Arulmurugan, R., Onn, C. C.: Computational intelligence and sustainable systems. In: EAI/Springer Innovations in Communication and Computing (2019)

    Google Scholar 

  8. Su, H., Moh, S.: A directional cognitive-radio-aware MAC protocol for cognitive radio sensor networks. Int. J. Smart Home. 9(4), 239–250 (2015)

    Article  Google Scholar 

  9. Haldorai, A., Ramu, A.: Cognitive social mining applications in data analytics and forensics. Adv. Soc. Netw. Online Commun. (2019)

    Google Scholar 

  10. Haldorai, A., Ramu, A., Chow, C.-O.: Editorial: Big Data innovation for sustainable cognitive computing. Mobile Netw. Appl. (2019)

    Google Scholar 

  11. Vizziello, A., Amadeo, R., Favalli, L.: Social cognitive cooperation for device to device communications. EAI Endorsed Trans. Cognit. Commun. 3(11), 152557 (2017)

    Article  Google Scholar 

  12. Szydelko, M., Dryjanski, M.: 3GPP spectrum access evolution towards 5G. EAI Endorsed Trans. Cognit. Commun. 3(10), 152184 (2017)

    Article  Google Scholar 

  13. Grace, M., Zhang, H., Nekovee, M.: Editorial: cognitive communications. IET Commun. 6(8), 783 (2012)

    Article  Google Scholar 

  14. Gurugopinath, S., Muralishankar, R., Shankar, H.: Spectrum sensing for cognitive radios through differential entropy. EAI Endorsed Trans. Cognit. Commun. 2(6), 151147 (2016)

    Article  Google Scholar 

  15. Anandakumar, H., Umamaheswari, K.: Energy efficient network selection using 802.16g based GSM technology. J. Comput. Sci. 10(5), 745–754 (2014)

    Article  Google Scholar 

  16. Borra, D., Iori, M., Borean, C., Fagnani, F.: A reputation-based distributed district scheduling algorithm for smart grids. EAI Endorsed Trans. Cognit. Commun. 1(2), e3 (2015)

    Article  Google Scholar 

  17. Guo, W., Huang, X.: Multicast communications in cognitive radio networks using directional antennas. Wirel. Commun. Mob. Comput. (2012)

    Google Scholar 

  18. Suganya, M., Anandakumar, H.: Handover based spectrum allocation in cognitive radio networks. In: 2013 International Conference on Green Computing, Communication and Conservation of Energy (ICGCE), Chennai, pp. 215–219 (2013)

    Google Scholar 

  19. Anandakumar, H., Umamaheswari, K.: Cooperative spectrum handovers in cognitive radio networks. In: EAI/Springer Innovations in Communication and Computing, pp. 47–63 (2018)

    Google Scholar 

  20. Anandakumar, H., Umamaheswari, K.: A bio-inspired swarm intelligence technique for social aware cognitive radio handovers. Comput. Electr. Eng. 71, 925–937 (2018)

    Article  Google Scholar 

  21. Haldorai, A., Ramu, A., Murugan, S.: Social aware cognitive radio networks. In: Social Network Analytics for Contemporary Business Organizations, pp. 188–202 (2018)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Haldorai, A., Kandaswamy, U. (2019). Intelligent Cognitive Radio Communications: A Detailed Approach. In: Intelligent Spectrum Handovers in Cognitive Radio Networks. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-15416-5_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-15416-5_2

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-15415-8

  • Online ISBN: 978-3-030-15416-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics