Mobility Management in Cognitive Radio Vehicular Cellular Networks

 
 
 
  • Abstract
  • Keywords
  • References
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  • Abstract


    There is a growing interest in enhancing cellular network support for vehicular communication. Cellular networks based on cognitive radio (CR) technology offer a promising solution for both improving the network capacity in areas facing high customer density and achieving matching between costs and demand in areas of low customer density. In this paper, we propose a mobility management technique for CR cellular network in vehicle-to-infrastructure (V2I) scenarios. The management scheme consists of intercellular resource allocation, and spectrum and user mobility management techniques. In the intercellular resource allocation, each cell selects an extended area band to support the mobility of high-speed users and improve cell capacity. Through the spectrum mobility management, both user and target cell selections are decided based on spectrum availability and user mobility. The user mobility management determines the handoff mechanism at different boundaries of the cell that supports good and reliable communications for high speed mobile users. Simulation results show that our scheme outperforms classical handoff schemes in supporting the mobility and the reliable communications in CR cellular networks.

     

     


  • Keywords


    cognitive radio; handoff; secondary user; spectrum pool; vehicle-to-infrastructure

  • References


    1. [1] P. Belanovic, D. Valerio, A. Paier, T. Zemen, F. Ricciato, and C. F. Mecklenbrauker, "On Wireless Links for Vehicle-to-Infrastructure Communications," IEEE Transactions on Vehicular Technology, vol. 59, pp. 269-282, 2010.

      [2] S. Chen, "Vehicular dynamic spectrum access: using cognitive radio for automobile networks," Worcester Polytechnic Institute, 2012.

      [3] K. Vijayakumar, P. Ganeshkumar, and M. Anandaraj, "Performance Improved Graph Based Scheduling Algorithm for Infrastructure based Cognitive Radio Networks," International Journal of Information Technology, vol. 2, 2013.

      [4] K. Kumar, A. Prakash, and R. Tripathi, "Spectrum handoff in cognitive radio networks: A classification and comprehensive survey," Journal of Network and Computer Applications, vol. 61, pp. 161-188, 2016/02/01/ 2016.

      [5] H. David and R. Chai, "Channel Characteristics and User QoS-Aware Handoff Target Spectrum Selection in Cognitive Radio Networks," in Communications and Networking: 11th EAI international Conference, ChinaCom 2016 Chongqing, China, September 24-26, 2016, Proceedings, Part II, Q. Chen, W. Meng, and L. Zhao, Eds., ed Cham: Springer International Publishing, 2018, pp. 203-213.

      [6] M. K. Usman, M.S.; Vu-Van, H.; Insoo, K, "Energy-Efficient Channel Handoff for Sensor Network-Assisted Cognitive Radio Network," Sensors vol. 15, pp. 18012-18039, 2015.

      [7] P. Thakur, A. Kumar, S. Pandit, G. Singh, and S. N. Satashia, "Spectrum mobility in cognitive radio network using spectrum prediction and monitoring techniques," Physical Communication, vol. 24, pp. 1-8, 2017/09/01/ 2017.

      [8] Y. Wu, Q. Yang, X. Liu, and K. S. Kwak, "Delay-Constrained Optimal Transmission With Proactive Spectrum Handoff in Cognitive Radio Networks," IEEE Transactions on Communications, vol. 64, pp. 2767-2779, 2016.

      [9] C. W. Wang and L. C. Wang, "Analysis of Reactive Spectrum Handoff in Cognitive Radio Networks," IEEE Journal on Selected Areas in Communications, vol. 30, pp. 2016-2028, 2012.

      [10] Y. Konishi, H. Masuyama, S. Kasahara, and Y. Takahashi, "Performance analysis of dynamic spectrum handoff scheme with variable bandwidth demand of secondary users for cognitive radio networks," Wireless Networks, vol. 19, pp. 607-617, July 01 2013.

      [11] Y. Yao, A. Popescu, and A. Popescu, "On prioritised opportunistic spectrum access in cognitive radio cellular networks," Transactions on Emerging Telecommunications Technologies, vol. 27, pp. 294-310, 2016.

      [12] W. Y. Lee and I. F. Akyildiz, "Spectrum-aware mobility management in cognitive radio cellular networks," IEEE Trans. Mob. Comput, vol. 11, 2012.

      [13] M. J. Piran, Y. Cho, J. Yun, A. Ali, and D. Y. Suh, "Cognitive Radio-Based Vehicular Ad Hoc and Sensor Networks," International Journal of Distributed Sensor Networks, vol. 10, p. 154193, 2014.

      [14] Y. C. Liang, A. T. Hoang, and H. H. Chen, "Cognitive radio on TV bands: a new approach to provide wireless connectivity for rural areas," IEEE Wireless Communications, vol. 15, pp. 16-22, 2008.

      [15] L. D. Nardis and M. D. P. Guirao, "Mobility-aware design of cognitive radio networks: Challenges and opportunities," in 2010 Proceedings of the Fifth International Conference on Cognitive Radio Oriented Wireless Networks and Communications, 2010, pp. 1-5.

      [16] K. D. Singh, P. Rawat, and J.-M. Bonnin, "Cognitive radio for vehicular ad hoc networks (CR-VANETs): approaches and challenges," EURASIP Journal on Wireless Communications and Networking, vol. 2014, p. 49, March 28 2014.

      [17] G. Gkionis, A. Michalas, A. Sgora, and D. D. Vergados, "An effective spectrum handoff scheme for Cognitive Radio Ad hoc Networks," in 2017 Wireless Telecommunications Symposium (WTS), 2017, pp. 1-7.

      [18] I. Hanif, M. Zeeshan, and A. Ahmed, "Traffic Pattern Based Adaptive Spectrum Handoff Strategy for Cognitive Radio Networks," in 2016 10th International Conference on Next Generation Mobile Applications, Security and Technologies (NGMAST), 2016, pp. 18-23.

      [19] W. Wang and M. Zhao, "Joint Effects of Radio Channels and Node Mobility on Link Dynamics in Wireless Networks," in IEEE INFOCOM 2008 - The 27th Conference on Computer Communications, 2008, p. 1.

      [20] R. R. Roy, Handbook of Mobile Ad Hoc Networks for Mobility Models, 1 ed.: Springer US, 2011.

      [21] V. Namboodiri and L. Gao, "Prediction-Based Routing for Vehicular <emphasis emphasistype="italic">Ad Hoc</emphasis> Networks," IEEE Transactions on Vehicular Technology, vol. 56, pp. 2332-2345, 2007.

      [22] C. F. Mecklenbrauker, A. F. Molisch, J. Karedal, F. Tufvesson, A. Paier, L. Bernadó, et al., "Vehicular channel characterization and its implications for wireless system design and performance," Proceedings of the IEEE, vol. 99, pp. 1189-1212, 2011.


 

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Article ID: 25656
 
DOI: 10.14419/ijet.v8i1.6.25656




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