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A New Channel Assignment Method in Cognitive Radio System


Affiliations
1 Department of Telecommunication Engineering, B.M.S. Institute of Technology and Management, India
2 Department of Electronics and Communication Engineering, SJB Institute of Technology, India
     

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In this paper, a novel method to estimate the unsuccessful probability is proposed by combining the unnecessary probability and the blocking probability. The Unnecessary probability is the probability when the mobile node is unnecessarily handed over and the blocking probability is the one when the network is not able to assign the channel to the mobile now. A new design of new channel assignment method for cognitive radio system is presented. The first fit method and the random assignment methods are also implemented for the cognitive radio application as a baseline. The PU and SU call blocking are modeled for all the three methods. It is shown that advantages of first fit method and the random assignment methods are combined into the new method, namely, selective assignment method. Simulation are conducted for the various network parameters like number of channels, number of links, load on each link, percentage of the PU versus SU calls etc. It is shown that selective assignment method yields better results than that of the first fit method and the random assignment methods. Finally, the blocking probabilities are combined with the unnecessary handover probabilities of a three-node network to determine the unsuccessful handover probabilities of the first fit, random assignment and selective assignment methods.

Keywords

Cognitive Radio, Random Assignment, First Fit Assignment, Selective Assignment, Unnecessary Probability, Blocking Probability, Unsuccessful Handover Probability.
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  • Ejaz Ahmed, Abdullah Gani, Saeid Abolfazli, Liu Jie Yao and Samee U. Khan, “Channel Assignment Algorithms in Cognitive Radio Networks: Taxonomy, Open Issues, and Challenges”, IEEE Communications Surveys and Tutorials, Vol. 18, No. 1, pp. 795-823, 2016.

  • Elias Z, Tragos, Sherali Zeadally, Alexandros G, Fragkiadakis and Vasilios A. Siris, “Spectrum Assignment in Cognitive Radio Networks: A Comprehensive Survey”, IEEE Communications Survey and Tutorials, Vol. 15, No. 3, pp. 1108-1135, 2013.

  • Muhammad Rehan Usman and Soo Young Shin, “Channel Allocation Schemes for Permanent User Channel Assignment in Wireless Cellular Networks”, IETE Journal of Research, Vol. 62, No. 2, pp. 189-197, 2016.

  • Muhammad Rehan Usman and Soo Young Shin, “Channel Blocking Analysis and Availability Prediction in Cognitive Radio Networks”, Proceedings of IEEE Workshop on Computing, Networking and Communications, pp. 1-6, 2017.

  • Murtaza Zafer and Eytan Modiano, “Blocking Probability and Channel Assignment in Wireless Networks”, IEEE Transactions on Wireless Communications, Vol. 5, No. 4, pp. 233-245, 2006.

  • Xiukui Li and S.A. Reza Zekavat, “Cognitive Radio Based Spectrum Sharing: Evaluating Channel Availability via Traffic Pattern Prediction”, Journal of Communications and Networks, Vol. 11, No. 2, pp. 104-114, 2009.

  • Berk Canberk, Ian F. Akyildiz and Sema Oktug, “Primary User Activity Modeling using First-Difference Filter Clustering and Correlation in Cognitive Radio Networks”, IEEE/ACM Transactions on Networking, Vol. 19, No. 1, pp. 170-183, 2011.

  • Rahul Bajpai and Aditya Trivedi, “Joint Power and Spectrum Allocation for Cooperative Cognitive Radio Network with End User Mobility”, Proceedings of 11th International Conference on Wireless and Optical Communications Networks, pp. 1-5, 2014.

  • Xiukui Li and S.A. Reza Zekavat, “Traffic Pattern Prediction Based Spectrum Sharing for Cognitive Radios”, Proceedings of International conference on Electrical and Electronic Engineering, pp. 1-5, 2009.

  • X. Li and S.A. Reza Zekavat, “Spectrum Sharing Across Multiple Service Providers via Cognitive Radio Nodes”, IET Communication, Vol. 4, No. 5, pp. 551-5661, 2010.

  • R. Kaniezhil and C. Chandrasekar, “Multiple Service providers sharing Spectrum using Cognitive Radio”, International Journal of Scientific and Engineering Research, Vol. 3, No. 3, pp. 1-7, 2012.

  • H. Jiang and S. Rappaport, “Prioritized Channel Borrowing without Locking: A Channel Sharing Strategy for Cellular Communications”, IEEE/ACM Transactions on Networking, Vol. 4, No. 2, pp. 163-172, 1996.

  • J.C.I. Chuang, “Performance Issues and Algorithms for Dynamic Channel Assignment”, IEEE Journal on Selected Areas in Communications, Vol. 11, No. 6, pp. 955-963, 1993.

  • R. Mathar and J. Mattfeldt, “Channel Assignment in Cellular Radio Networks”, IEEE Transactions on Vehicular Technology, Vol. 42, No. 4, pp. 647-656, 1993

  • G. Cao and M. Singhal, “Distributed Fault-Tolerant Channel Allocation for Cellular Networks”, IEEE Journal of Selected Areas in Communications, Vol. 18, No. 7, pp. 1326-1337, 2000.

  • J. Yang, D. Manivannan and M. Singhal, “A Fault-Tolerant Dynamic Channel Allocation Scheme for Enhancing QoS in Cellular Networks”, Proceedings of IEEE 36th International Conference on System Sciences, pp. 306-315, 2003.

  • T.H. Lai, J. Jiang and T. Ma, “A Relaxed Mutual Exclusion Problem with Application to Channel Allocation in Mobile Cellular Networks”, Proceedings of IEEE 20th International Conference on Distributed Computing Systems, pp. 592-599, 2000.

  • X. Dong and T.H. Lai, “Distributed Dynamic Carrier Allocation in Mobile Cellular Networks: Search vs. Update”, Proceedings of International Conference on Distributed Computing Systems, pp. 108-115, 1997.

  • R. Prakash, N. Shivaratri and M. Singhal, “Distributed Dynamic Channel Allocation for Mobile Computing”, Proceedings of 14th International Symposium on Principles of Distributed Computing, pp. 47-56, 1995.

  • Jian Chang Yang and D. Manivannan, “Performance Comparison of Two Channel Allocation Approaches: Channel Pre-allocation vs. Non-Pre-allocation”, Proceedings of 3rd International Conference on Wireless and Mobile Communications, pp. 191-195, 2007.

  • C. Chi, X. Cai, R. Hao and F. Liu, “Modeling and Analysis of Handover Algorithms”, Proceedings of IEEE Global Telecommunications Conference, pp. 4473-4477, 2007.

  • S. Akhila and S. Kumar, “Analysis of Handover Algorithms based on Wrong Decision Probability Model”, International Journal of Wireless Networks and Communications, Vol. 2, No. 1, pp. 165-173, 2010.

  • Suresh R. Halhalli, Subhash Kulkarni, K.S.R. Anjaneyulu and S. Akhila, “Probability Modeling of Multi Node Wireless Networks”, International Journal of Computer Applications, Vol. 51, No. 1, pp. 22-27, 2012.


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  • A New Channel Assignment Method in Cognitive Radio System

Abstract Views: 367  |  PDF Views: 1

Authors

C. P. Mallikarjuna Gowda
Department of Telecommunication Engineering, B.M.S. Institute of Technology and Management, India
T. Vijayakumar
Department of Electronics and Communication Engineering, SJB Institute of Technology, India

Abstract


In this paper, a novel method to estimate the unsuccessful probability is proposed by combining the unnecessary probability and the blocking probability. The Unnecessary probability is the probability when the mobile node is unnecessarily handed over and the blocking probability is the one when the network is not able to assign the channel to the mobile now. A new design of new channel assignment method for cognitive radio system is presented. The first fit method and the random assignment methods are also implemented for the cognitive radio application as a baseline. The PU and SU call blocking are modeled for all the three methods. It is shown that advantages of first fit method and the random assignment methods are combined into the new method, namely, selective assignment method. Simulation are conducted for the various network parameters like number of channels, number of links, load on each link, percentage of the PU versus SU calls etc. It is shown that selective assignment method yields better results than that of the first fit method and the random assignment methods. Finally, the blocking probabilities are combined with the unnecessary handover probabilities of a three-node network to determine the unsuccessful handover probabilities of the first fit, random assignment and selective assignment methods.

Keywords


Cognitive Radio, Random Assignment, First Fit Assignment, Selective Assignment, Unnecessary Probability, Blocking Probability, Unsuccessful Handover Probability.

References