Open Access Open Access  Restricted Access Subscription or Fee Access

A Novel Spectrum Handoff Framework for Cognitive Radio Network

Pradeep Kanta Ray, T.C.H. Alen

Abstract


Cognitive Radio (CR) is a promising solution to improve the spectrum utilization via enabling unlicensed customers to take advantage of the spectrum in an opportunistic manner. Spectrum handoff is a different kind of handoff in CR necessitated by the reappearance of major person (PU) in the licensed band at present occupied by the secondary customers (SUs). Spectrum handoff processes purpose to help the SUs to vacate the occupied licensed spectrum and discover appropriate target channel to resume the unfinished transmission. Spectrum management helps in acquiring the great spectrum hole for the transmission of SU amongst giant wide variety of reachable spectrum holes. The SU has to have interaction with one-of-a-kind protocol layers of the network to maintain the QoS of an application. Based on the availability of the spectrum, the channel is allocated to the SU. This choice also relies upon on the interior and external insurance policies as well as different regulatory troubles of the spectrum. The reason of spectrum mobility management in cognitive radio networks is to make sure that the transitions are made easily and rapidly such that the applications jogging on a cognitive person identify minimal performance degradation in the course of a spectrum handoff. In this paper, survey two on spectrum handoff in cognitive radio networks is presented.

Keywords


Cognitive Radio Network, Spectrum Handoff, Cognitive Radio Network Framework, VANETS

Full Text:

PDF

References


Angela Sara Cacciapuoti, Marcello Caleffi, Luigi Paura, and Md Arafatur Rahman, “Channel availability for mobile cognitive radio networks” Journal of Network and Computer Applications, vol. 47, 2015, pp.131–136

Arash Azarfar, Jean-François Frigon, and Brunilde Sansò, “A history-aware greedy channel restoration scheme for cognitive radio-based LTE networks” Physical Communication, vol. 10, 2014, pp. 116–126

Federal Communications Commission “Notice of proposed rulemaking and order: Facilitating opportunities for flexible, efficient, and reliable spectrum use employing cognitive radio technologies” ET Docket No. 03-108, Feb 2005.

Haykin. S, "Cognitive radio: brain-empowered in wireless communications," IEEE Journal on selected areas in communications, vol. 23, no. 2, 2005, pp. 201- 220.

Jie Jia, Qiusi Lin, Jian Chen, Chunyu Li, and Xingwei Wang,” Congestion aware channel allocation with route scheduling in wireless cognitive radio mesh network” Computers and Electrical Engineering, vol. 39, 2013, pp.1346–1357

Krishan Kumar, Arun Prakash, and Rajeev Tripathi, "Spectrum handoff in cognitive radio networks: A classification and comprehensive survey", Journal of Network and Computer Applications, vol.61, 2016, pp.161–188

Kuangyu Chen, Fanzi Zeng and Qingguang Zeng, “Spectrum allocation algorithm under the novel channel handover constraint in cognitive radio network”, International Conference on Computer Science and Service System (CSSS 2014), Atlantis Press, pp. 686- 689

Mitola, "Cognitive Radio: An Integrated Agent Architecture for Software Defined Radio", Ph.D. Thesis, KTH Royal Institute of Technology, Sweden, 2000.

Moshe Timothy Masonta, Mjumo Mzyece, and Ntsibane Ntlatlapa, “Spectrum Decision in Cognitive Radio Networks: A Survey” IEEE Communications Surveys & Tutorials, vol. 15, no. 3

Peng Yi, Zheng Yong, “A Novel Spectrum Handoff Method Based On Spectrum Reservation”, TELKOMNIKA Indonesian Journal of Electrical Engineering, vol.12, no.1, 2014, pp. 653-660

Pinyi Ren, Yichen Wang, Qinghe Du, and Jing Xu, "A survey on dynamic spectrum access protocols for distributed cognitive radio networks," EURASIP Journal on wireless communication and networking, 2012, pp. 1-21

Ramiro Samano-Roblesa and Marco Cardenas-Juarezb, “Energy Efficient Random Transmission Control for Cognitive Radio Systems”, The 2013 Iberoamerican Conference on Electronics Engineering and Computer Science Procedia Technology7, 2013, pp. 79 – 87

The government of India, Ministry of communication and IT, Department of Telecommunication, National Frequency Allocation Table 2011.

Wang, D., Naouar, N., Vidal-Salle, E., &Boisse, P. (2018). Longitudinal compression and Poisson ratio of fiber yarns in meso-scale finite element modeling of composite reinforcements. Composites Part B: Engineering, 141, 9-19.

Yuvaraj, K. S., and P. Priya. "Common Control Channel Based Spectrum Handoff Framework for Cognitive Radio Network." 2018 International Conference on Current Trends towards Converging Technologies (ICCTCT). IEEE, 2018.


Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.