Review on Cognitive Radio Technology for Machine to Machine Communication

  • Negasa B. TeshaleEmail author
  • Habib M. Hussien
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 244)


Recently, due to the rapid and fast ever growth number of connected devices/machines starting from our house hold appliances to the large industrial machines connected through wired/wireless communication network is becoming greater or larger. Hence, the electromagnetic undesirable state and interference become very critical issue as the spectrum resources we have is limited. However, a cognitive radio technology which automatically detects available channel spectrum, then accordingly changes its transmission or reception parameters to allow more occurring or operating at the same time in wireless communications in a given spectrum band at one location is a promising method for the challenges machine to machine communication facing this days. In this paper work, some detail survey of machine to machine communication and cognitive radio technology is introduced. Moreover, the challenges and advantages we get from combining cognitive radio and Machine to machine will be discussed.


Cognitive radio M2MS communication Spectrum detection and sharing 


  1. 1.
    Zhang, Y., Yu, R., Nekovee, M., Liu, Y., Xie, S., Gjessing, S.: Cognitive machine-to-machine communications: visions and potentials for the smart grid. IEEE Netw. (2012)Google Scholar
  2. 2.
    Boisguene, R., Chou, S.H., Huang, C.W.: A survey on cognitive machine-to-machine communications. IEEE (2014)Google Scholar
  3. 3.
    Pereira, C., Aguiar, A.: Towards efficient mobile M2M communications: survey and open challenges. Open Access, October 2014CrossRefGoogle Scholar
  4. 4.
    Barki, A., Bouabdallah, A., Gharout, S., Traoré, J.: M2M security: challenges and solutions. J. IEEE Commun. Surv. Tutor. 18, 1241–1254 (2015)CrossRefGoogle Scholar
  5. 5.
    Chen, M., Wan, J., González-Valenzuela, S., Liao, X., Leung, V.C.: A survey of recent developments in home M2M networks. IEEE Commun. Surv. Tutor. 16(1), 98–114 (2014)CrossRefGoogle Scholar
  6. 6.
    Zoran, B., Bojkovic, B., Bakmaz, M.: Machine-to-machine communication architecture as an enabling paradigm of embedded internet evolution. In: Recent Advances in Computer Science (2015)Google Scholar
  7. 7.
    Yang, T., Cao, J., Han, Z.: A survey of emerging M2M systems: context, task, and objective. IEEE Internet Things J. 3, 1246–1258 (2016)CrossRefGoogle Scholar
  8. 8.
    Ghavimi, F., Chen, H.-H.: M2M communications in 3GPP LTE/LTE-A networks: architectures, service requirements, challenges, and applications. IEEE Commun. Surv. Tutor. 17, 525–549 (2014)CrossRefGoogle Scholar
  9. 9.
    Ho, C., Huang, C.: Energy-saving massive access control and resource allocation schemes for M2M communications in OFDMA cellular networks. IEEE Commun. Lett. 1, 209–211 (2012)CrossRefGoogle Scholar
  10. 10.
    Corici, A., Steinke, R., Magedanz, T., Coetzee, L., Oosthuizen, D., Mkhize, B., Catalan, M., Fontelles, J.C., Paradells, J., Shrestha, R., Nehls, D.: Towards programmable and scalable IoT infrastructures for smart cities. IEEE, April 2016Google Scholar
  11. 11.
    Kliks, A.: Application of the cognitive radio concept for M2M communications: practical considerations. Wirel. Pers. Commun. 83, 117–133 (2015). (Open Access at Springer)CrossRefGoogle Scholar
  12. 12.
    Staple, G., Werbach, K.: The end of spectrum scarcity. IEEE Spectrum (2004)Google Scholar
  13. 13.
    Xie, S., Liu, Y., Zhang, Y., Yu, R.: A parallel cooperative spectrum sensing in cognitive radio networks. IEEE Trans. Veh. Technol. 59, 4079–4092 (2010)CrossRefGoogle Scholar
  14. 14.
    Liu, X., Zhang, Y., Li, Y., Zhang, Z., Long, K.: A survey of cognitive radio technologies and their optimization approaches. IEEE (2013)Google Scholar
  15. 15.
    Cordeiro, C., Challapali, K., Ghosh, M.: Cognitive PHY and MAC layers for dynamic spectrum access and sharing of TV bands. In: Proceedings of First International Workshop on Technology and Policy for Accessing Spectrum, Boston, MA, USA, August 2006Google Scholar
  16. 16.
    Nekovee, M.: A survey of cognitive radio access to TV white spaces. Open Access: Int. J. Digit. Multimed. Broadcast. (2010)Google Scholar

Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018

Authors and Affiliations

  1. 1.School of Electrical and Computer EngineeringAddis Ababa Institute of TechnologyAddis AbabaEthiopia

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