Abstract
A large number of small cells in the next-generation mobile networks is expected to be deployed to satisfy 5G requirements. Mobility management is one of the important issues that require considerable attention in heterogeneous networks, where 5G ultra-dense small cells coexist with the current 4G networks. An efficient handover (HO) mechanism is introduced to address this issue and improve mobility management by adjusting HO control parameters (HCPs), namely, time-to-trigger and HO margin. Dynamic HCPs (D-HCPs), which explores user experiences to adjust HCPs and make an HO decision in a self-optimizing manner, is proposed in this paper. D-HCPs classify HO failure (HOF) into three categories, namely, too late, too early and wrong cell HO, and simultaneously adjust HCPs according to the dominant HOF. The algorithm is evaluated using different performance metrics, such as HO ping-pong, radio link failure and interruption time, with different mobile speed scenarios. Simulation results show that the proposed D-HCPs algorithm adaptively optimizes the HCPs and outperforms other algorithms from the literature.
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REFERENCES
Agiwal, M., Roy, A., and Saxena, N., Next generation 5G wireless networks: A comprehensive survey, IEEE Commun. Surv. Tutorials, 2016, vol. 18, no. 3, pp. 1617–1655.
Minh Thang Nguyen, Sungoh Kwon, and Hongsoog Kim, Mobility robustness optimization for handover failure reduction in LTE small-cell networks, IEEE Trans. Veh. Technol., 2018, vol. 67, no. 5, pp. 4672–4676.
Alhammadi, A. Roslee, M., and Alias, M.Y., Analysis of spectrum handoff schemes in cognitive radio network using particle swarm optimization, 2016 IEEE 3rd International Symposium on Telecommunication Technologies (ISTT), Kuala Lumpur, 2016, pp. 103–107.
Alhammadi, A., Roslee, M., and Alias, M.Y., Fuzzy logic based negotiation approach for spectrum handoff in cognitive radio network, 2016 IEEE 3rd International Symposium on Telecommunication Technologies (ISTT), Kuala Lumpur, 2016, pp. 120–124.
Jansen, T., Balan, I., Turk, J., Moerman, I., and Kurner, T., Handover parameter optimization in LTE self-organizing networks, 2010 IEEE 72nd Vehicular Technology Conference Fall, 2010, pp. 1–5.
Castro-Hernandez, D. and Paranjape, R., Optimization of handover parameters for LTE/LTE-A in-building systems, IEEE Trans. Veh. Technol., 2018, vol. 67, no. 6, pp. 5260–5273.
Shayea, I., Ismail, M., Nordin, R., Ergen, M., Ahmad, N., Abdullah, N.F., Abdulraqeb, A., and Mohamad, H., New weight function for adapting handover margin level over contiguous carrier aggregation deployment scenarios in LTE-advanced system, Wireless Pers. Commun., 2019, pp. 1–21.
Chaudhuri, S., Baig, I., and Das, D., Self-organizing method for handover performance optimization in LTE-advanced network, Comput. Commun., 2017, vol. 110, pp. 151–163.
Ni, S., Wu, D., Zhao, Gu, M.X., Zhang L., and Lu, L., An enhanced mobility state estimation based handover optimization algorithm in LTE-A self-organizing network, Procedia Comput. Sci., 2015, vol. 52, pp. 270–277.
Silva, K.D.C., Becvar, Z., and Frances, C.R.L., Adaptive hysteresis margin based on fuzzy logic for handover in mobile networks with dense small cells, IEEE Access, 2018, vol. 6, pp. 17178–17189.
Hegazy, R.D., Nasr, O.A., and Kamal, H.A., Optimization of user behavior based handover using fuzzy Q-learning for LTE networks, Wireless Networks, 2018, vol. 24, no. 2, pp. 481–495.
Alhammadi, A., Roslee, M., Alias, M.Y., Shayea, I., and Alraih, S., Dynamic handover control parameters for LTE-A/5G mobile communications, 2018 Advances in Wireless and Optical Communications (RTUWO), 2018, Riga, pp. 39–44.
3GPP. TR 21.905 V14.4.0. Vocabulary for 3GPP Specifications (Release 14). 2017. http://www.3gpp.org/ DynaReport/21905.htm. Accessed February 25, 2019.
Ericsson, R4-154516, Modified RRH Arrangement for HST SFN, 2015. http://www.3gpp.org/ftp/tsg_ran/ WG4_Radio/TSGR4_76/Docs/. Accessed February 25, 2019.
Po-Chiang, L., Gonzalez Casanova, L.F., and Bakary Fatty, K.S., Data-driven handover optimization in next generation mobile communication networks, Mobile Inf. Syst., 2016, vol. 2016.
Barbera, S., et al., Synchronized RACH-less handover solution for LTE heterogeneous networks, 2015 International Symposium on Wireless Communication Systems (ISWCS), 2015, Brussels, pp. 755–759.
Ahmed, A.A. and Alzahrani, A.A., A comprehensive survey on handover management for vehicular ad hoc network based on 5G mobile networks technology, Trans. Emerging Telecommun. Technol., 2019, vol. 30, no. 3, e3546.
Shayea, I., Ismail, M., Nordin, R., Mohamad, H., Abd Rahman, T., and Abdullah, N.F., Novel handover optimization with a coordinated contiguous carrier aggregation deployment scenario in LTE-advanced systems, Mobile Inf. Syst., 2016, vol. 2016.
3GPP, TS 36.839 V11.1.0., Evolved Universal Terrestrial Radio Access (E-UTRA); Mobility enhancements in heterogeneous networks. France, 2017. http://www.3gpp.org/dynareport/36839.htm. Accessed February 25, 2019.
3GPP, TS 36.300 LTE; E-UTRAN; Overall description; Stage 2, 2017.
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This project was supported by research and development (R&D) department, Telekom Malaysia, TM R&D (MMUE/170014).
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Abdulraqeb, A., Mardeni, R., Yusoff, A.M. et al. Self-optimization of Handover Control Parameters for Mobility Management in 4G/5G Heterogeneous Networks. Aut. Control Comp. Sci. 53, 441–451 (2019). https://doi.org/10.3103/S014641161905002X
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DOI: https://doi.org/10.3103/S014641161905002X