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Minimization Strategy to Reduce Handoff by Using Adaptive Hybrid Algorithm in Cognitive Networks

Engr. Haseeb Khalid, Engr. Muhammad Farooq


In current work of Spectrum Handoff (SH) is primarily focused on single handoff strategies (i.e. proactive or reactive) in which the spectrum handoff process is preselected without caring the PU coming pattern which can be a reason of huge spectrum handoff under-utilization and delay of channel. As a result in this research, it develops an Adaptive Hybrid Handoff (AHH) algorithm in CRNs that permit a SU to sense the coming of-a-PU-and use a- handoff approach (reactive-or proactive)- according to the PU coming time the opportunistic handoff scheme first detects the arrival of the PU by energy detection sensing. Then it allows a CR user to decide whether to perform handoff action or not depending upon the overall service time to reduce the useless handoffs. This handoff can either be proactive or reactive based on PU arrival rate. Numerical results show that our AHH scheme minimizes the amount of handoffs and whole service time whereas maintaining channel utilization and throughput of the system at maximal level compared to simple reactive and proactive schemes.



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Akyildiz, Ian F., Won-Yeol Lee, Mehmet C. Vuran, and ShantidevMohanty. “Spectrum Management in Cognitive Radio Networks,” IEEE Communications Magazine, vol. 46, no. 4, pp.40-48, 2008.

Christian, Ivan, SangmanMoh, Ilyong Chung, and Jinyi Lee. “Spectrum Mobility in Cognitive Radio Networks,” IEEE Communication magazine, vol. 50, no. 6, pp. 114-121, 2012.

Akyildiz, Ian F., Won-Yeol Lee, Mehmet C. Vuran, and ShantidevMohanty. “Next Generation/Dynamic Spectrum Access/Cognitive Radio Wireless Networks: A Survey,” Elsevier, Computer Networks, vol. 50, pp. 2127-2159, 2006.

Wang, Chung-Wei, Li-Chun Wang, and Fumiyuki Adachi. “Modelling and Analysis for Proactive Decision Spectrum Handoff in Cognitive Radio Networks,” IEEE, Global Telecommunications Conference, pp. 1-6, 2010.

Wang, Chung-Wei, and Li-Chun Wang. “Analysis of Reactive Spectrum Handoff in Cognitive Radio Networks,” IEEE Journal on Selected Areas in Communication, vol. 30, no. 10, pp. 2016-2028, 2012.

Wang, Li-Chun, Chung-Wei Wang, and Chung-Ju Chang. “Modeling and Analysis for Spectrum Handoff in Cognitive Radio Networks,”IEEE Transactions on Mobile Computing, vol. 10, no. 09, pp. 1499-1513, 2012.

Pandya, Priyanka, AslamDurvesh, and Najuk Parekh. “Energy Detection Based Spectrum Sensing for Cognitive Radio Network,” IEEE International Conference on Communication Systems and Network Technologies (CSNT), no. 05, pp. 201-206, 2015.

Chatterjee, Subhankar, Santi P. Maity, and TamaghnaAcharya. “On Optimal Threshold Selection in Cooperative Spectrum Sensing for Cognitive Radio Networks: An Energy Detection Approach Using Fuzzy Entropy Maximization,”Springer, Wireless Personal Communications, vol. 84, no. 3 , pp 1605-1625, 2015.

Swetha, Namburu, PanyamNarahariSastry, and YandraRajasreeRao. “Analysis of Spectrum Sensing Based on Energy Detection Method in Cognitive Radio Networks,” IEEE International Conference on IT Convergence and Security (ICITCS), pp. 1-4, Oct. 2014.

Mitola, Joseph. “Cognitive radio: An integrated agent architecture for software defined radio,” PhD Dissertation, KTH Royal Institute of Technology, Sweden 2000.

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

Haykin, Simon. "Fundamental issues in cognitive radio," In Cognitive Wireless Communication Networks, pp. 1-43.Springer US, 2007.

Lin, Ying. "Jamming-Aware Randomized Spectrum Sharing in Cognitive Radio Communication Networks." In Applied Mechanics and Materials, vol. 513, pp. 834-840. 2014.

Cacciapuoti, Angela Sara, Ian F. Akyildiz, and Luigi Paura. “Optimal Primary-User Mobility Aware Spectrum Sensing Design for Cognitive Radio Networks,’’ IEEE, Selected Areas in Communications, vol. 31, no. 11, pp. 2161-2172, 2013.

Sun, Hongjian, David Laurenson, and Cheng-Xiang Wang.“Computationally tractable model of energy detection performance over slow fading channels,” IEEE Communication Letters, vol. 14, no. 10, pp. 924-926, 2010.

Wang, Tianyu, Lingyang Song, Zhu Han, and WalidSaad. “Distributed Cooperative Sensing in Cognitive Radio Networks: An Overlapping Coalition Formation Approach,” IEEE Transactions on Communications, Vol. 62, no. 9, pp. 3144 - 3160, 2014.

Li, Shuang, ZizhanZheng, EylemEkici, and Ness Shroff. “Maximizing system throughput by cooperative sensing in cognitive radio networks,” IEEE/ACM Transactions on Networking, Vol. 22, no. 4, pp. 1245-1256, 2014.

Sai Shankar, N., Carlos Cordeiro, and KiranChallapali. “Spectrum agile radios: Utilization and sensing architectures,” IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, pp. 160-169, 2005.

Yuan, Y., Bahl, P., Chandra, R., Chou, P., Ferrell, J.I., Moscibroda, T., Narlanka, S. and Wu, Y. “KNOWS: Cognitive radio networks over white spaces,” IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, pp. 416-427, 2007.

Datla, Dinesh, RakeshRajbanshi, Alexander M. Wyglinski, and Gary J. Minden “Parametric opportunistic spectrum sensing framework for dynamic spectrum access networks,” IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, pp. 482-485, 2007.

Yücek, Tevfik, and HüseyinArslan. “A Survey of Spectrum Sensing Algorithms for Cognitive Radio Applications,” IEEE Communication Surveys & Tutorials, vol. 11, no. 1, pp. 116-130, 2009.

Wang, Beibei, and K. J. Liu “Advances in Cognitive Radio Networks: A Survey,” IEEE Journal of Selected Topics in Signal Processing, vol. 5, no. 1, pp. 5-23, 2011.

Lee, Won-Yeol, and Ian F. Akyildiz.“Optimal Spectrum Sensing Framework for Cognitive Radio Networks,” IEEE Transactions on Wireless Communication, vol. 7, no. 10, pp. 3845-3857, 2008.

Ghasemi, Amir, and Elvino S. Sousa.“Spectrum Sensing in Cognitive Radio Networks: Requirements, Challenges and Design Trade-offs,” IEEE Communications Magazine, Vol. 46, no.04, pp. 32-39, 2008.


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