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Improving interference mitigation and priority based channel allocation in cognitive radio networks

J.Nandhini 1 , V.Hamsadhwani 2

Section:Review Paper, Product Type: Journal Paper
Volume-3 , Issue-5 , Page no. 16-20, May-2015

Online published on May 30, 2015

Copyright © J.Nandhini , V.Hamsadhwani . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: J.Nandhini , V.Hamsadhwani, “Improving interference mitigation and priority based channel allocation in cognitive radio networks,” International Journal of Computer Sciences and Engineering, Vol.3, Issue.5, pp.16-20, 2015.

MLA Style Citation: J.Nandhini , V.Hamsadhwani "Improving interference mitigation and priority based channel allocation in cognitive radio networks." International Journal of Computer Sciences and Engineering 3.5 (2015): 16-20.

APA Style Citation: J.Nandhini , V.Hamsadhwani, (2015). Improving interference mitigation and priority based channel allocation in cognitive radio networks. International Journal of Computer Sciences and Engineering, 3(5), 16-20.

BibTex Style Citation:
@article{_2015,
author = {J.Nandhini , V.Hamsadhwani},
title = {Improving interference mitigation and priority based channel allocation in cognitive radio networks},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2015},
volume = {3},
Issue = {5},
month = {5},
year = {2015},
issn = {2347-2693},
pages = {16-20},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=471},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=471
TI - Improving interference mitigation and priority based channel allocation in cognitive radio networks
T2 - International Journal of Computer Sciences and Engineering
AU - J.Nandhini , V.Hamsadhwani
PY - 2015
DA - 2015/05/30
PB - IJCSE, Indore, INDIA
SP - 16-20
IS - 5
VL - 3
SN - 2347-2693
ER -

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Abstract

The message infraconstruction amongst liveliness generation, transmission, delivery and process will need multi-way communications, interoperability amongst the progressive and prevailing system, and end-to-end dependable and protected infrastructures with low-latencies. Radical message Building is compulsory for real process and control of clever grid, and Cognitive Radio grounded message building can provide a unique solution. By leveraging Cognitive Radio technology, the suggested infrastructures infraconstruction potentials to exploit possibly all obtainable spectrum possessions professionally in the clever grid. The Radio agility allows the clever grid strategies to sense the unsecond hand spectrum opportunities in the surroundings and exploit them subject to meddlesome constraints. Active spectrum contact enabled by Cognitive Radio information can be adopted by the clever grid to exploit the under applied incidences in an opportunistic manner. As a result, the flexibility, efficiency, and dependability can be meaning completely improved in a Cognitive Radio grounded Clever Grid network.

Key-Words / Index Term

Cognitive radio, Clever grid, Message

References

[1] Tawk, Y.; Configurable Space Microsyst. Innovations & Applic. Center (COSMIAC), Univ. of New Mexico, Albuquerque, NM, USA; Costantine, J.; Christodoulou, C.G., “Cognitive-radio and antenna functionalities: A tutorial [Wireless Corner]”, Published in: Antennas and Propagation Magazine, IEEE (Volume: 56, Issue: 1) Page(s): 231 – 243.
[2] Shixian Wang ; Sch. of Comput., Nat. Univ. of Defense Technol., Changsha, China ; Lunguo Xie ; Hengzhu Liu ; Botao Zhang, “ACRA: An Autonomic and Expandable Architecture for Cognitive Radio Nodes”, Published in: Wireless Communications and Signal Processing (WCSP), 2010 International Conference on Date of Conference: 21-23 Oct. 2010 Page(s): 1 – 5.
[3] Reddy, A.V. ; ECE, Jyothishmathi Inst. of Tech., Karimnagar, India ; Krishna, E.R. ; Reddy, P.M., “Notice of Violation of IEEE Publication Principles
[4] Sensor networks for cognitive radio: Theory and system design”, Published in: Electronics Computer Technology (ICECT), 2011 3rd International Conference on (Volume: 3) Date of Conference: 8-10 April 2011 Page(s): 229 – 233.
[5] Nolan, K.E.; CTVR, Trinity Coll., Dublin; Sutton, P.; Doyle, L.E., “An Encapsulation for Reasoning, Learning, Knowledge Representation, and Reconfiguration Cognitive Radio Elements”, Published in: Cognitive Radio Oriented Wireless Networks and Communications, 2006. 1st International Conference on Date of Conference: 8-10 June 2006 Page(s): 1 – 5.
[6] Qian Li ; Zhiyong Feng ; Wei Li ; Gulliver, T.A. ; Ping Zhang, “Joint Spatial and Temporal Spectrum Sharing for Demand Response Management in Cognitive Radio Enabled Smart Grid”, Published in: Smart Grid, IEEE Transactions on (Volume:5 , Issue: 4 ) Page(s): 1993 – 2001.
[7] Bicen, A.O. ; Koc Univ., Istanbul, Turkey ; Akan, O.B. ; Gungor, V.C., “Spectrum-aware and cognitive sensor networks for smart grid applications”, Published in: Communications Magazine, IEEE (Volume:50 , Issue: 5 ) Page(s): 158 – 165.
[8] Khalfi, B. ; Qatar Univ., Doha, Qatar ; Ben Ghorbel, M. ; Hamdaoui, B. ; Guizani, M., “Optimal power allocation for smart-grid powered point-to-point cognitive radio system”, Published in: Computing, Communications and IT Applications Conference (ComComAp), 2014 IEEE Date of Conference: 20-22 Oct. 2014 Page(s): 316 – 320.
[9] Jing Gao ; Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China ; Jinkuan Wang ; Bin Wang ; Xin Song, “Cognitive radio based communication network architecture for smart grid”, Published in: Information Science and Technology (ICIST), 2012 International Conference on Date of Conference: 23-25 March 2012 Page(s): 886 – 888.
[10] Yinghua Han ; Northeastern Univ. at Qinhuangdao, Qinhuangdao, China ; Jinkuan Wang ; Qiang Zhao ; Peng Han, “Cognitive information communication network for smart grid”, Published in: Information Science and Technology (ICIST), 2012 International Conference on Date of Conference: 23-25 March 2012 Page(s): 847 – 850.
[11] Sreesha, A.A. ; Dept. of Electr. & Comput. Eng., Polytech. Inst. of New York Univ., Brooklyn, OH, USA ; Somal, S. ; I-Tai Lu, “Cognitive Radio Based Wireless Sensor Network architecture for smart grid utility”, Published in: Systems, Applications and Technology Conference (LISAT), 2011 IEEE Long Island Date of Conference: 6-6 May 2011 Page(s): 1 – 7.
[12] Hamza, D. ; Phys. Sci. & Eng. Div., King Abdullah Univ. of Sci. & Technol., Thuwal, Saudi Arabia ; Aissa, S., “An Optimal Probabilistic Multiple-Access Scheme for Cognitive Radios”, Published in: Vehicular Technology, IEEE Transactions on (Volume:61 , Issue: 7 ) Page(s): 3002 – 3014.
[13] Fang Liu ; Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China ; Jinkuan Wang ; Yinghua Han ; Peng Han, “Cognitive radio networks for smart grid communications”, Published in: Control Conference (ASCC), 2013 9th Asian Date of Conference: 23-26 June 2013 Page(s): 1 – 5.
[14] Gungor, V.C. ; Dept. of Comput. Eng., Bahcesehir Univ., Istanbul, Turkey ; Sahin, D., “Cognitive Radio Networks for Smart Grid Applications: A Promising Technology to Overcome Spectrum Inefficiency”, Published in: Vehicular Technology Magazine, IEEE (Volume:7 , Issue: 2 ) Page(s): 41 – 46.
[15] Rong Yu ; Fac. of Autom., Guangdong Univ. of Technol., Guangzhou, China ; Yan Zhang ; Yanrong Chen, “Hybrid spectrum access in cognitive Neighborhood Area Networks in the smart grid”, Published in: Wireless Communications and Networking Conference (WCNC), 2012 IEEE Date of Conference: 1-4 April 2012 Page(s): 1478 – 1483.
[16] Khan, F.A. ; ECIT, Queen''s Univ. of Belfast, Belfast, UK ; Ratnarajah, T. ; Sellathurai, M. ; Prakriya, S., “Outage analysis of causal cognitive radio channel”, Published in: Cognitive Wireless Systems (UKIWCWS), 2009 First UK-India International Workshop on Date of Conference: 10-12 Dec. 2009 Page(s): 1 – 6.
[17] Wei Wu ; Univ. of Texas at Austin, Austin ; Vishwanath, S. ; Arapostathis, A., “Capacity of a Class of Cognitive Radio Channels: Interference Channels With Degraded Message Sets”, Published in: Information Theory, IEEE Transactions on (Volume:53 , Issue: 11 ) Page(s): 4391 – 4399.
[18] Goochul Chung ; Univ. of Texas at Austin, Austin, TX, USA ; Sridharan, S. ; Vishwanath, S. ; Chan Soo Hwang, “On the Capacity of Overlay Cognitive Radios with Partial Cognition”, Published in: Information Theory, IEEE Transactions on (Volume:58 , Issue: 5 ) Page(s): 2935 – 2949.
[19] Rini, S. ; Tech. Univ. Munchen, Munich, Germany ; Kurniawan, E. ; Goldsmith, A., “Combining superposition coding and binning achieves capacity for the Gaussian cognitive interference channel”, Published in: Information Theory Workshop (ITW), 2012 IEEE Date of Conference: 3-7 Sept. 2012 Page(s): 227 – 231.