High Speed Mobility Management Performance in a Real LTE Scenario


  • A. A. M. K. Abuelgasim School of Electrical Engineering, Universiti Teknologi Malaysia, Malaysia
  • K. M. Yusof School of Electrical Engineering, Universiti Teknologi Malaysia, Malaysia
Volume: 10 | Issue: 1 | Pages: 5175-5179 | February 2020 | https://doi.org/10.48084/etasr.3245


This paper discusses the mobility management for high-speed users, which is a crucial challenge for all mobile operators, especially when users are moving vertically across different network technologies. Mobility, also known as seamless connectivity, is directly influencing the quality of service (QoS). Mobility management-Handover (HO) performance was evaluated by field measurements of a Long Term Evolution (LTE) network of a mobile operator in the Middle East. Drive test measurements were used to analyze the results of different high-speed scenarios. User Equipment (UE) with high speed of 80-140km/h causes a high risk of failure of seamless connectivity as the HO procedure timing is longer than for UE with smaller speed. HO failure and call drop may occur when UE is moving with high speed across two adjacent cells in highways. During measurements, HO failure occurred when UE speed was 140km/h, and HO preparation timing increased when UE speed increased.


mobility management, handover, heterogeneous network, user equipment (UE), speed, field measurement


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J. Marquez-Barja, C. T. Calafate, J. C. Cano, P. Manzoni, “An overview of vertical handover techniques: Algorithms, protocols and tools”, Computer Communications, Vol. 34, No. 8, pp. 985–997, 2011 DOI: https://doi.org/10.1016/j.comcom.2010.11.010

N. C. Eli-Chukwu, J. M. Aloh, C. O. Ezeagwu, “A systematic review of artificial intelligence applications in cellular networks”, Engineering, Technology & Applied Science Research, Vol. 9, No. 4, pp. 4504-4510, 2019 DOI: https://doi.org/10.48084/etasr.2788

M. K. Hassan, A. Babiker, M. B. M. Amien, M. Hamad, “SLA management for virtual machine live migration using machine learning with modified kernel and statistical approach”, Engineering, Technology & Applied Science Research, Vol. 8, No. 1, pp. 2459–2463, 2018 DOI: https://doi.org/10.48084/etasr.1692

3GPP/ETSI, (TR 25.913Mike) Universal Mobile Telecommunications System (UMTS); LTE; Requirements for Evolved UTRA (E-UTRA) and Evolved UTRAN (E-UTRAN), 3GPP TR 25.913 version 9.0.0 Release 9, ETSI, 2010

M. Zekri, B. Jouaber, D. Zeghlache, “A review on mobility management and vertical handover solutions over heterogeneous wireless networks”, Computer Communications, Vol. 35, No. 17, pp. 2055–2068, 2012 DOI: https://doi.org/10.1016/j.comcom.2012.07.011

ITU, The technical feasibility of IMT in the bands above 6 GHz, Technical Report Rep. ITU-R M.2376-0, ITU, 2015

M. Anas, F. D. Calabrese, P. E. Mogensen, C. Rosa, K. I. Pedersen, “Performance evaluation of received signal strength based hard handover for UTRAN LTE”, IEEE 65th Vehicular Technology Conference, Dublin, Ireland, April 22-25, 2007 DOI: https://doi.org/10.1109/VETECS.2007.223

Y. Lee, B. Shin, J. Lim, D. Hong, “Effects of time-to-trigger parameter on handover performance in SON-based LTE systems”, 2010 16th Asia-Pacific Conference on Communications, Auckland, New Zealand, October 31-November 3, 2010

M. O. Osifeko, A. A. Okubanjo, O. R. Abolade, O. K. Oyetola, A. O. Oyedeji, O. I. Sanusi, “Evaluating the effect of mobility speed on the performance of three handover algorithms in long term evolution networks”, Journal of Applied Sciences and Environmental Management, Vol. 22, No. 4, pp. 503-506, 2018 DOI: https://doi.org/10.4314/jasem.v22i4.11

L. C. Gimenez, M. C. Cascino, M. Stefan, K. I. Pedersen, A. F. Cattoni, “Mobility performance in slow-and high-speed LTE real scenarios”, IEEE 83th Vehicular Technology Conference, Nanjing, China, May 15-18, 2016 DOI: https://doi.org/10.1109/VTCSpring.2016.7504347

B. Katz, J. Ma, H. Rigdon, K. Sykes, Z. Huang, K. Raboy, Synthesis of variable speed limit signs, Federal Highway Administration, 2017

A. Merwaday, I. Guvenc, “Handover count based velocity estimation and mobility state detection in dense HetNets”, IEEE Transactions on Wireless Communications, Vol. 15, No. 7, pp. 4673-4688, 2016 DOI: https://doi.org/10.1109/TWC.2016.2544302

S. Barbera, K. I. Pedersen, C. Rosa, P. H. Michaelsen, F. Frederiksen, S. Shah, A. Baumgartner, “Synchronized RACH-less handover solution for LTE heterogeneous networks”, 2015 International Symposium on Wireless Communication Systems, Brussels, Belgium, August 25-28, 2015 DOI: https://doi.org/10.1109/ISWCS.2015.7454451


How to Cite

A. A. M. K. Abuelgasim and K. M. Yusof, “High Speed Mobility Management Performance in a Real LTE Scenario”, Eng. Technol. Appl. Sci. Res., vol. 10, no. 1, pp. 5175–5179, Feb. 2020.


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