A Reliable Co-operative Decision-Making Technique for the Improvement in the Performance of Multi-User CRN Using Coalition Game Theory

References

• K. C. Chen and R. Prasad, Cognitive Radio Networks. Great Britain, Chippenham, England: John Wiley and Sons Ltd. Publication, 7 April 2009, ch. 2, pp. 4–7.
   Google Scholar
• B. Fette, Cognitive Radio Technology. 1st ed, Vol. 3. Burlington: Preston Marshall, Elsevier, 2006, pp. 163–83.
   Google Scholar
• A. M. Wyglinski, M. Nekovee, and Y. T. Hou, “Cognitive radio communications and networks,” in IEEE Communications Magazine, Guest editorial, 17, April. 1, 2008, ch. 4.
   Google Scholar
• L. Lu, X. Zhou, U. Onunkwo, and G. Y. Li, “Ten years of research in spectrum sensing and sharing in cognitive radio,” EURASIP J. Wirel. Commun. Netw., Vol. 1, no. 28, pp. 28–43, 2012. doi: 10.1186/1687-1499-2012-28
   Web of Science ®Google Scholar
• A. Ghasemi and E. S. Sousa, “Spectrum sensing in cognitive radio networks: Requirements, challenges and design trade-offs,” IEEE Commun. Mag., Vol. 46, no. 4, pp. 32–9, 2008. doi: 10.1109/MCOM.2008.4481338
   Web of Science ®Google Scholar
• I. F. Akyildiz, B. F. Lo, and R. Balakrishnan, “Cooperative spectrum sensing in cognitive radio networks: A survey,” Physical Communication, Vol. 4, no. 1, pp. 40–62, 2011. doi: 10.1016/j.phycom.2010.12.003
   Web of Science ®Google Scholar
• Z. Quan, S. Cui, and A. H. Sayed, “Optimal linear cooperation for spectrum sensing in cognitive radio networks,” IEEE. J. Sel. Top. Signal. Process., Vol. 2, no.1, pp. 28–40, 2008. doi: 10.1109/JSTSP.2007.914882
   Web of Science ®Google Scholar
• T. Yucek and H. Arslan, “A survey of spectrum sensing algorithms for cognitive radio applications,” IEEE Commun. Surv. Tutorials, Vol. 11, no. 1, pp.116–30, 2009. doi: 10.1109/SURV.2009.090109
   Web of Science ®Google Scholar
• R. Umar and A. U. Sheikh, “A comparative study of spectrum awareness techniques for cognitive radio oriented wireless networks,” Physical Communication, Vol. 9, pp. 148–70, 2013. doi: 10.1016/j.phycom.2012.07.005
   Web of Science ®Google Scholar
• Y. Fu, F. Yang, and Z. He, “A quantization-based multi-bit data fusion scheme for cooperative spectrum sensing in cognitive radio networks,” Sensors, Vol. 18, no. 2, p. 473, 2018. doi: 10.3390/s18020473
   Web of Science ®Google Scholar
• H. A. Shah and I. Koo, “Reliable machine learning based spectrum sensing in cognitive radio networks,” Wirel. Commun. Mob. Comput., Vol. 2018, pp. 1–16, 2018.
   Web of Science ®Google Scholar
• J. S. P. Singh, J. Singh, A. S. Kang, and M. Rai, “Cooperative fusion sensing technique for cognitive radio: An efficient detection method for shadowing environment,” Proceedings of International Conference on Computing Sciences, Vol. 2, pp. 70–9, 2013.
   Google Scholar
• M. S. Hossain, M. I. Abdullah, S. M. B. Haque, and M. A. Hossain, “Hard decision based cooperative spectrum sensing over different fading channel in cognitive radio,” International Journal of Advance Innovations, Thoughts & Ideas, Vol. 2, no.3, pp. 1–2, 2013.
   Google Scholar
• D. Teguig, B. Scheers, and V. Le Nir, “Data fusion schemes for cooperative spectrum sensing in cognitive radio networks,” in 2012 Military Communications and Information Systems Conference (MCC), IEEE, 2012, pp. 1–7.
   Google Scholar
• A. Rauniyar, J. M. Jang, and S. Y. Shin, “Optimal hard decision fusion rule for centralized and decentralized cooperative spectrum sensing in cognitive radio networks,” Journal of Advances in Computer Networks, Vol. 3, no. 3, pp. 207–12, 2015. doi: 10.7763/JACN.2015.V3.168
   Google Scholar
• M. Motta, “A Survey on data and decision fusion strategies on spectrum sensing in cognitive radio networks,” International Journal of Advance Research in Computer and Communication Engineering, Vol.3, no. 7, pp. 7510–8, Jul. 2014.
   Google Scholar
• L. Khalid and A. Anpalagan, “A weighted fusion scheme for cooperative spectrum sensing based on past decisions,” in 2011 IEEE 22nd International Symposium on Personal, Indoor and Mobile Radio Communications, IEEE, Sept. 2011, pp. 354–8.
   Google Scholar
• P. Thakur, A. Kumar, S. Pandit, G. Singh, and S. N. Satashia, “Performance analysis of cognitive radio networks using channel-prediction-probabilities and improved frame structure,” Digital Communications and Networks, Vol. 4, no. 4, pp. 287–95, 2018. doi: 10.1016/j.dcan.2017.09.012
   Web of Science ®Google Scholar
• F. Hou, X. Chen, H. Huang, and X. Jing, “Throughput performance improvement in cognitive radio networks based on spectrum prediction,” in 2016 16th International Symposium on Communications and Information Technologies (ISCIT), IEEE, 2016, pp. 655–8.
   Google Scholar
• I. AlQerm and B. Shihada, “Adaptive decision-making scheme for cognitive radio networks,” in 2014 IEEE 28th International Conference on Advanced Information Networking and Applications, IEEE, 2014, pp. 321–28.
   Google Scholar
• C. R. Stevenson, G. Chouinard, Z. Lei, W. Hu, S. J. Shellhammer, and W. Caldwell, “IEEE 802.22: The first cognitive radio wireless regional area network standard,” IEEE communications magazine, Vol. 47, no. 1, Jan. 2009, pp. 130–8.
   Google Scholar
• C. Cordeiro, K. Challapali, D. Birru, and S. Shankar, “IEEE 802.22: The first worldwide wireless standard based on cognitive radios,” in New Frontiers in Dynamic Spectrum Access Networks, 2005, 2005 First IEEE International Symposium on, 2005, pp. 328–37.
   Google Scholar
• S. Atapattu, C. Tellambura, and H. Jiang, Energy detection for spectrum sensing in Cognitive radio. New York, NY, USA: Springer, Feb. 2014, pp. 11-24, ch. 2.
   Google Scholar
• T. Yucek and H. Arslan, “A survey of spectrum sensing algorithms for cognitive radio applications,” IEEE Communications Surveys and Tutorials, Vol. 11, no. 1, pp. 116–30, Mar. 2009. doi: 10.1109/SURV.2009.090109
   Web of Science ®Google Scholar
• E. Mostafa, S. H. Ali, S. E. A. Khamis, and F. E. Abd El-Samie, “Spectrum sensing optimization and performance enhancement of cognitive radio networks,” Wirel. Pers. Commun., Vol. 86, no. 2, pp. 925–41, 2016. doi: 10.1007/s11277-015-2962-5
   Web of Science ®Google Scholar
• W. Saad, Z. Han, M. Debbah, A. Hjørungnes, and T. Basar, “Coalitional game theory for communication networks: A tutorial,” arXiv preprint arXiv:0905.4057, May 2009.
   Google Scholar
• A. Roger and B. Myerson, Game Theory: Analysis of Conflict. Cambridge: Hardvard University Press, 1992, pp. 417–68.
   Google Scholar
• McCain A. Roger, Game Theory: A Nontechnical Introduction to the Analysis of Strategy. 3rd ed. Hackensack, NJ: World Scientific Publishing Company, 2014, ch. 17.
   Google Scholar
• P. Palacios and C. Saavedra, “Coalition game theory in cognitive mobile radio networks,” in International Conference on Technology Trends, Springer, Cham, 2018, pp. 3–15.
   Google Scholar
• X. Xing, T. Jing, W., Cheng, Y. Huo, X. Cheng, and T. Znati, “Cooperative spectrum prediction in multi-PU multi-SU cognitive radio networks,” Mobile Netw. Appl., Vol. 19, no. 4, pp. 502–11, Aug. 2014. doi: 10.1007/s11036-014-0507-x
   Web of Science ®Google Scholar
• H. Zhang, H. Ji, and X. Li., “Collaborative spectrum sensing in multi-channel cognitive networks: A coalition game approach,” In Wireless Communications and Networking Conference (WCNC), IEEE, 2012, pp. 1354–9.
   Google Scholar
• V. Balaji, C. Hota, “Efficient cooperative spectrum sensing in Cognitive Radio using coalitional game mode,” in Contemporary Computing and Informatics (IC3I), 2014 International Conference on 2014 Nov 27, IEEE, 2014, pp. 899–907.
   Google Scholar
• W. Saad, Z. Han, M. Debbah, A. Hjorungnes and T. Basar, “Coalitional games for distributed collaborative spectrum sensing in cognitive radio networks,” in INFOCOM 2009, IEEE, April 2019, pp. 2114–22.
   Google Scholar
• L. Yan, Y. Zhen, “Collaborative spectrum sensing using coalitional games in cognitive radio networks,” in Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on 2010 Jul 9, IEEE Vol. 3, 2010, pp. 483–88.
   Google Scholar
• Z. Khan, J. Lehtomäki, M. Codreanu, M. Latva-aho, and LA. DaSilva, “Throughput-efficient dynamic coalition formation in distributed cognitive radio networks,” EURASIP J. Wirel. Commun. Netw., Vol. 2010, pp. 87, April 2010.
   Web of Science ®Google Scholar
• R. Khedkar and R. A. Patil, “Comprehensive Dynamic Spectrum Allocation in multi-PU multi-SU CRN using Coalition Game Theory,” 2018 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), Dec. 2018.
   Google Scholar
• J. Proakis, Digital communication. 4th ed. New York: Mcgraw-Hill, 2001, pp. 258–82.
   Google Scholar
• G. Sharma and R. Sharma, “Performance improvement of CSS over imperfect reporting using diversity reception in cognitive radio networks,” World Journal of Engineering, Vol. 6, no. 1, pp. 87–93, 15 Feb 2019. doi: 10.1108/WJE-09-2017-0288
   Web of Science ®Google Scholar
• W. Saad, Z. Han, M. Debbah, and A. Hjorungnes, “A distributed coalition formation framework for fair user cooperation in wireless networks,” IEEE Trans. Wireless Commun., Vol. 8, no. 9, pp. 4580–93, 2009. doi: 10.1109/TWC.2009.080522
   Web of Science ®Google Scholar
• W. Saad, Z. Han, T. Basar, M. Debbah, and A. Hjorungnes, “Coalition formation games for collaborative spectrum sensing. IEEE Trans. Veh. Technol., Vol. 60, no. 1, pp. 276–97, 2011. doi: 10.1109/TVT.2010.2089477
   Web of Science ®Google Scholar