THE ISSUES AND CHALLENGES IN FUTURISTIC DEVELOPMENT OF COGNITIVE RADIO NETWORKS

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Published: Aug 28, 2017
DOI: https://doi.org/10.26483/ijarcs.v8i7.4004
Keywords:
– Cognitive radio, Architectures, Current state-of-the-art, Open Issues and emerging trends, Futuristic use of cognitive radios.

Main Article Content

Nikita Bhagat
Guru Nanak dev university regional campus jalandhar
Dr. Jyoteesh Malhotra

Abstract

Due to the emergence of numerous applications based on wireless applications the problem of spectrum scantiness is increasing day by day. The utilization of spectrum has increased to its maximum level. To tackle this issue the technology named cognitive radio was introduced to the rescue. The Cognitive radio is an emerging technology that enables dynamic spectrum access in wireless networks. The cognitive radio is capable of expediently using the obtainable portions of a licensed spectrum to improve the application performance for unlicensed users. The opportunistic use of the accessible channels in the wireless environment requires dynamic channel assignment to efficiently utilize the available resources while minimizing the interference in the network. A lot of work has been reported in the literature so this paper presents a comprehensive survey on the current state-of-the-art, various technologies in which the cognitive radio technology can be used to enhance the performance to get better results are extracted in this paper. Open issues and emerging trends has been brought forward for the researchers working in the fields of wireless communication and network

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Issue
Vol. 8 No. 7 (2017): July-August 2017
Section
Articles

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Author Biography

Nikita Bhagat, Guru Nanak dev university regional campus jalandhar

Student CSE department

References

Joseph Mitola III and G. Q. Maguire, “Cognitive radio: making software radios more personal,†IEEE Personal Communications, vol. 6, no. 4, pp. 13–18, 1999.

Simon Haykin, Life Fellow,,†Cognitive Radio: Brain-Empowered wireless Communicationsâ€, IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, vol. 23, no. 2, February 2005.

Natasha Devroye, Patrick Mitran, Student Member, IEEE, and Vahid Tarokh,†Achievable Rates in Cognitive Radio Channelsâ€, IEEE transaction on information theory, vol. 52, no. 5, MAY 2006.

Kim, S.J. and G. B. Giannakis, 2009. Rate Optimal and Reduced-Complexity Sequential Sensing Algorithms for Cognitive OFDM Radios. In the proceedings of 2009 43rd annual conference on Information Science and Systems, pp: 141-146.

Mitola, J., G.Q. Maguire, 1999. Cognitive Radio:

Making Software Radios More Personal. J. of Personal Communication, IEEE., 6 (4): 13-18.

Zhang, Q., G.J.M. Smit, L.T. Smit, A. Kokkeler, F.W. Hoeksema and M. Heskamp, 2005. A Reconfigurable Platform for Cognitive Radio. In the proceedings of 2005 2nd International Conference on Mobile Technology, Applications and Systems, pp: 1-5.

Haykin, S., 2005. Cognitive Radio: Brain-Empowered Wireless Communication. IEEE Journal on Selected Areas in Communications. 23 (2): 201-220.

Digham, F.F., 2008. Joint Power and Channel Allocation for Cognitive Radios. In the proceedings of 2008 Wireless Communications and Networking Conference, pp: 882 – 887.

Alex, Z.C., Sivaraman and S.K. Vasudevan, 2010. Software Defined Radio Implementation (With simulation & analysis).Intl. J. of Computer Applications., 4 (8): 21–27.

Mitola, J., 2000. Software Defined Radio Architecture Evolution: Foundations, Technology Tradeoffs, and Architecture Implementations. IEICE Transactions on Communications, E83-B (6):1165-1173.

Zurutuza, N., 2012. Cognitive Radio, Fundamental Performance Analysis for Interweave Opportunistic Access Model. www.stanford.edu/~naroa/ee359project.pdf.

Goldsmith, A., S.A. Jafar, I. Maric´, and S. Srinivasa, 2009. Breaking Spectrum Gridlock with Cognitive Radios: An Information Theoretic Perspective. J. of the IEEE., 97 (5): 894-914.

Wang, B., and K. J. Ray Liu, 2011. Advances in Cognitive Radio Networks: A Survey. IEEE J. of Selected Topics in Signal Processing,. 5 (1): 5-23.

Reed, J., C. Bostian, 2006. Understanding the Issues in Software Defined Cognitive Radio,†in Dyspan, Dublin, Ireland.

Shankar, S.N., 2007. Squeezing the Most Out of Cognitive Radio: A Joint MAC/PHY Perspective. In the proceedings of 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, pp: 1361-1364.

Kaustav Ghosh* Department of Computer Science, St. Xaviers College Autonomous (Kolkata), “India Security issues and challenges in cognitive radio network : a comprehensive studyâ€, ACCENTS Transactions on Information Security, Vol 1(1) ISSN (Online): 2455-7196

J. Wang, M. Ghosh, and K. Challapali, “Emerging cognitive radio applications: a survey,†IEEE communication magazine, vol. 49, no. 3, pp. 74–81, 2011.

Amna Saad Kamil, and Ibrahim Khider “Open Research issues in Cognitive Radioâ€16thTelecommunications Forum TELFOR, Serbia , Belgrade, 25-27 Nov., 2008.

R.W. Brodersen, A. Wolisz, D. Cabric, S.M. Mishra, D. Willkomm, “Corvus: a cognitive radio approach for usage of virtual unlicensed spectrumâ€, Berkeley Wireless Research Center (BWRC) White paper, 2004.

Eamonn O Nuallain, “A Proposed Propagation-based Methodology with which to address the Hidden Node Problem and Security/Reliability Issues in Cognitive Radioâ€, 4th International Conference on Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08.

Raul Etkin, Abhay K. Parekh, David Tse, “Spectrum Sharing for Unlicensed Bands,†IEEE Journal on Selected Areas in Communications, vol. 25, pp. 517–528, April 2007.

http://www.hindawi.com/journals/vlsi/2012/716476/

J. Arias, L. Quintanilla, J. Segundo, L. Enríquez, J. Vicente, and J. M. Hernández-Mangas, “Parallel continuous-time ΔΣ ADC for OFDM UWB receivers,†IEEE Transactions on Circuits and Systems I, vol. 56, no. 7, pp. 1478–1487, 2009.

Federal Communications Commission, “Spectrum Policy Task Forceâ€,Rep ET Docket no.02-135,Nov. 2002

R. Tandra and A. Sahai, “SNR walls for signal detection,†IEEE Journal on Selected Topics in Signal Processing, vol. 2, no. 1, pp. 4–17, 2008.

Jagsir Singh, Roopali Garg & Inderdeep Kaur Aulakh, “Effect of OFDM in Cognitive Radio: Advantages & Issuesâ€, Second International Conference on Computational Intelligence & Communication Technology,2016

Goutam Ghosh1 , Prasun Das2 and Subhajit Chatterjee3,†Cognitive Radio And Dynamic Spectrum Access – A Studyâ€, International Journal of Next-Generation Networks (IJNGN) Vol.6, No.1, March 2014.

Cheng-Xiang Wang, Fourat Haider, Xiqi Gao and Xiao-Hu You, Yang Yang, Dongfeng Yuan, Hadi M. Aggoune, Harald Haas, Simon Fletcher, Erol Hepsaydir,†Cellular Architecture and Key Technologies for 5G Wireless Communication Networksâ€, IEEE Communications Magazine,2014

William Krenik and Anuj Batra,†Cognitive Radio Techniques for Wide Area Networksâ€, IEEE Communications Magazine,2014

Hisham a. Mahmoud, Tevfik Yucek and Huseyin Arslan,†OFDM For Cognitive Radio: Merits and Challengesâ€, IEEE Wireless Communications, April 2009.