Review and Challenges of Future Technologies in Spectrum Management over Cognitive Radio Network

Authors

  • Sanjay Kumar Khadagade Assistant Professor, Department of Electronics and Communication Engineering, Oriental Institute of Science and Technology, Bhopal, India

DOI:

https://doi.org/10.24113/ijoscience.v6i6.299

Abstract

Cognitive radio is generally expected to be cutting edge in remote correspondences. Range administrative Boards of trustees in numerous nations have been finding a way to make the way for dynamic range get to utilizing this innovation and furthermore setting out the guidelines for its im-plementation. Global associations have likewise been taking a stab at normalizing and harmonization this tech-nology for different applications. This paper outlines meaning of Cognitive radio frameworks and portrays the condition of workmanship in the administrative and normalization activi-ties on cognitive radio everywhere throughout the world, which are esteemed to have essential impact on the eventual fate of remote interchanges. Cognitive radio ideas can be applied to an assortment of remote correspondences sce-narios, a couple of which are portrayed in this paper. At long last, in view of led overview through the specialized and administrative examination, a reliable end is given

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

References

. W. Lee, "Resource Allocation for Multi-Channel Underlay Cognitive Radio Network Based on Deep Neural Network," in IEEE Communications Letters, Vol. 22, No. 9, pp. 1942-1945, Sept. 2018.

. P. Zuo, T. Peng, W. Linghu and W. Wang, "Resource Alloca-tion for Cognitive Satellite Communications Downlink," in IEEE Access, Vol. 6, pp. 75192-75205, 2018.

. D. Das and S. Das, "Intelligent resource allocation scheme for the cognitive radio network in the presence of primary user emulation attack," in IET Communications, Vol. 11, No. 15, pp. 2370-2379, 19 10 2017.

. A. Sultana, L. Zhao and X. Fernando, "Efficient Resource Allocation in Device-to-Device Communication Using Cognitive Radio Technology," in IEEE Transactions on Vehicular Tech-nology, Vol. 66, No. 11, pp. 10024-10034, Nov. 2017.

. L. Zhu and X. Zhao, "Robust power allocation for orthog-onal frequency division multiplexing-based overlay/underlay cognitive radio network under spectrum sensing errors and channel uncertainties," in IET Communications, Vol. 10, No. 15, pp. 2010-2017, 13 10 2016.

. A. Ahmad, S. Ahmad, M. H. Rehmani and N. U. Hassan, "A Survey on Radio Resource Allocation in Cognitive Radio Sensor Networks," in IEEE Communications Surveys & Tutorials, Vol. 17, No. 2, pp. 888-917, Secondquarter 2015.

. Y. Long, H. Li, H. Yue, M. Pan and Y. Fang, "SUM: Spec-trum Utilization Maximization in Energy-Constrained Coopera-tive Cognitive Radio Networks," in IEEE Journal on Selected Areas in Communications, Vol. 32, No. 11, pp. 2105-2116, November 2014.

. H. Xu and B. Li, "Resource Allocation with Flexible Chan-nel Cooperation in Cognitive Radio Networks," in IEEE Trans-actions on Mobile Computing, Vol. 12, No. 5, pp. 957-970, May 2013.

. M. Dashti, P. Azmi and K. Navaie, "Radio resource alloca-tion for orthogonal frequency division multiple access-based underlay cognitive radio networks utilising weighted ergodic rates," in IET Communications, Vol. 6, No. 16, pp. 2543-2552, 6 November 2012.

. V. Asghari and S. Aissa, "Resource Management in Spec-trum-Sharing Cognitive Radio Broadcast Channels: Adaptive Time and Power Allocation," in IEEE Transactions on Commu-nications, Vol. 59, No. 5, pp. 1446-1457, May 2011.

. Tiwari, R., & Nema, M. (2019). Privacy Preserving Au-thentication Approaches over Mobile Ad-Hoc Networks: Rovin Tiwari, Megha Nema. SMART MOVES JOURNAL IJOSCI-ENCE, 5(8), 11-14. https://doi.org/10.24113/ijoscience.v5i8.288

Downloads

Published

2020-06-30

How to Cite

Sanjay Kumar Khadagade. (2020). Review and Challenges of Future Technologies in Spectrum Management over Cognitive Radio Network. SMART MOVES JOURNAL IJOSCIENCE, 6(6), 50-55. https://doi.org/10.24113/ijoscience.v6i6.299