Analytical Modelling of a New Handover Algorithm to Improve Allocation of Resources in Highly Mobile Environments


  • Yonal Kirsal European University of Lefke


analytical modelling, mobility, handover decision algorithm, quality of service (QoS), highly mobile environments


Wireless and mobile communication systems have evolved considerably in recent years. Seamless mobility is one of the main challenges facing mobile users in wireless and mobile systems. However, highly mobile users lead to a high number of handover failures and unnecessary handovers due to the limited resources and coverage limitations with a high mobile speed. The traditional handover models are unable to cope with high mobile users in such environments. This paper proposes, an intelligent handover decision approach to minimize the probability of handover failures and unnecessary handovers whilst maximizing the usage of resources in highly mobile environments. The proposed approach is based on modelling the system using a Markov chain to enhance the system’s performance in terms of blocking probability, mean queue length and transmission delay. The results are compared with the traditional handover model. Simulation is also employed to validate the accuracy of the proposed model. Numerical results have shown that the proposed method outperforms the traditional algorithm over a wide range of handover failures and significantly reduced the number of such failures and unnecessary handovers. The results of this study show that quality if service (QoS) measures of such systems can be evaluated efficiently and accurately using the proposed analytical model. However, the performance results have also shown that it is still necessary to explore an effective model for operational spaces. In addition, the proposed model can also be adapted to various types of networks considering the high speed of the mobile user and the radius of the network.


Chen, Y.; Yang, S.; Xu, S.; Xue, P.; Zhou, X.; (2012); Queuing Theory Based Handover Resource Self-Management in LTE Networks, International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM):1-4.

Ghosh, A.; Paranthaman, V.; Mapp, G.; Gemikonakli, O.; Loo, J. (2015); Enabling Seamless V2I Communications: Towards Developing Cooperative Automotive Applications in VANET Systems, IEEE Communications Magazine, Special Issue on Towards Autonomous Driving: Advances in V2X Connectivity, 53(12):80-86.

Zeng, Q.A.; Agrawal, D. P., (2001); Modeling of handoffs and performance analysis of wireless data networks, International Conference on Parallel Processing Workshops, 491-496.

He, D. et al. (2010); A simple and robust vertical handoff algorithm for heterogeneous wireless mobile networks, Wireless Personal Communication, 59(2):361-373.

Trivedi, K.S.; Dharmaraja, S.; Ma, X.; (2002); Analytic modelling of handoffs in wireless cellular networks, Information Sciences, 148:155-166.

Rejeba, S. B.; Nasser, N.; Tabbane, S.; (2014) A novel resource allocation scheme for LTE network in the presence of mobility, Journal of Network and Computer Applications, Elsevier, 46:352-361.

Halabian, H.; Rengaraju, P.; Lung, C.H.; Lambadaris, I.; (2015), A reservation-based call admission control scheme and system modeling in 4G vehicular networks, EURASIP Journal on Wireless Communications and Networking, 1-12.

Kirsal-Ever, Y.; Kirsal Y.; Ever, E.; Gemikonakli,O.; (2015); Analytical Modelling and Performability Evaluation of Multi-Channel WLANs with Global Failures, International Journal of Computers Communications and Control, 10:551-566.

Kirsal Y.; Ever, E.; Kocyigit, A.; Gemikonakli,O.; Mapp, G.; (2015); Modelling and analysis of vertical handover in highly mobile environments, The Journal of Supercomputing, 71(12):4352-4380.

Xiaohuan, Y., Mani, N., Sekercioglu, Y.A. (2008); A traveling distance prediction based method to minimize unnecessary handovers from cellular networks to WLANs, IEEE Communications Letters, 12(1):14-16.

Kyoung, S.L., Ae-Soon, P. (2014); Reduction of handover failure for small cells in heterogeneous networks, Intl Conf. on Information and Communication Technology Convergence(ICTC): 707-708.

Zhu, F.; MacNair, J.; (2004); Optimizations for Vertical Handoff Decision Algorithms, IEEE Wireless Communications and Networking Conference, 2:867-872.

Zhu, F.; McNair, J.; (2006); Multiservice vertical handoff decision algorithms, EURASIP Journal on wireless communications and networking, 2; 1-13.

Stevens-Navarro, E.; Lin, Y.; Wong, V.W.S.; (2008); An MDP-based vertical handoff decision algorithm for heterogeneous wireless networks, IEEE Transactions on Vehicular Technology, 57(2): 1243-1254.

Ismail, A.; Byeong-hee, R.; (2011) Adaptive handovers in heterogeneous networks using fuzzy MADM, Intl Conf. on Mobile IT-Convergence, 99-104.

Yan, X.; Sekercioglu, A. Y.; Narayanan, S.; (2010) A survey of vertical handover decision algorithms in fourth generation heterogeneous wireless networks, Computer Networks, 54(11):1848-1863.

Mapp. G. et al. (2009); Exploring Efficient Imperative Handover Mechanisms for Heterogeneous Networks, International Symposium on Emerging Ubiquitous and Pervasive Systems, 286-291.



Most read articles by the same author(s)

Obs.: This plugin requires at least one statistics/report plugin to be enabled. If your statistics plugins provide more than one metric then please also select a main metric on the admin's site settings page and/or on the journal manager's settings pages.