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http://dx.doi.org/10.22937/IJCSNS.2022.22.4.18

Key Challenges of Mobility Management and Handover Process In 5G HetNets  

Alotaibi, Sultan (College of Computer and Information Systems, Umm Al-Qura University)
Publication Information
International Journal of Computer Science & Network Security / v.22, no.4, 2022 , pp. 139-146 More about this Journal
Abstract
Wireless access technologies are emerging to enable high data rates for mobile users and novel applications that encompass both human and machine-type interactions. An essential approach to meet the rising demands on network capacity and offer high coverage for wireless users on upcoming fifth generation (5G) networks is heterogeneous networks (HetNets), which are generated by combining the installation of macro cells with a large number of densely distributed small cells Deployment in 5G architecture has several issues because to the rising complexity of network topology in 5G HetNets with many distinct base station types. Aside from the numerous benefits that dense small cell deployment delivers, it also introduces key mobility management issues such as frequent handover (HO), failures, delays and pingpong HO. This article investigates 5G HetNet mobility management in terms of radio resource control. This article also discusses the key challenges for 5G mobility management.
Keywords
Mobility management; handover; 5G; HetNets;
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1 Addali, K. M., Melhem, S. Y. B., Khamayseh, Y., Zhang, Z., & Kadoch, M. (2019). Dynamic mobility load balancing for 5G small-cell networks based on utility functions. IEEE Access, 7, 126998-127011.   DOI
2 Zhang, H., Meng, N., Liu, Y., & Zhang, X. (2016). Performance evaluation for local anchor-based dual connectivity in 5G user-centric network. IEEE Access, 4, 5721-5729.   DOI
3 Xu, X., Tang, X., Sun, Z., Tao, X., & Zhang, P. (2019). Delay-oriented cross-tier handover optimization in ultradense heterogeneous networks. IEEE Access, 7, 21769- 21776.   DOI
4 Alhabo, M., Zhang, L., & Nawaz, N. (2019). GRA-based handover for dense small cells heterogeneous networks. IET Communications, 13(13), 1928-1935.   DOI
5 Vasudeva, K., Simsek, M., Lopez-Perez, D., & Guvenc, I. (2015, June). Impact of channel fading on mobility management in heterogeneous networks. In 2015 IEEE International Conference on Communication Workshop (ICCW) (pp. 2206-2211). IEEE.
6 Tiwari, R., & Deshmukh, S. (2019). MVU estimate of user velocity via gamma distributed handover count in HetNets. IEEE Communications Letters, 23(3), 482-485.   DOI
7 Zhang, Z., Junhui, Z., Ni, S., & Gong, Y. (2019). A seamless handover scheme with assisted eNB for 5G C/U plane split heterogeneous network. IEEE Access, 7, 164256-164264.   DOI
8 Cacciapuoti, A. S. (2017). Mobility-aware user association for 5G mmWave networks. IEEE Access, 5, 21497-21507.   DOI
9 Shayea, I., Abd. Rahman, T., Hadri Azmi, M., & Arsad, A. (2018). Rain attenuation of millimetre wave above 10 GHz for terrestrial links in tropical regions. Transactions on Emerging Telecommunications Technologies, 29(8), e3450.   DOI
10 Hasan, M. M., & Kwon, S. (2019). Cluster-based load balancing algorithm for ultra-dense heterogeneous networks. IEEE Access, 8, 2153-2162.   DOI
11 Han, P., Zhou, Z., & Wang, Z. (2020). User association for load balance in heterogeneous networks with limited CSI feedback. IEEE Communications Letters, 24(5), 1095-1099.   DOI
12 Mohajer, A., Bavaghar, M., & Farrokhi, H. (2020). Mobilityaware load balancing for reliable self-organization networks: Multi-agent deep reinforcement learning. Reliability Engineering & System Safety, 202, 107056.   DOI
13 Ma, B., Yang, B., Zhu, Y., & Zhang, J. (2020). Context-aware proactive 5G load balancing and optimization for urban areas. IEEE Access, 8, 8405-8417.   DOI
14 Lu, J. S., Steinbach, D., Cabrol, P., & Pietraski, P. (2012). Modeling human blockers in millimeter wave radio links. ZTE communications, 10(4), 23-28.
15 Tufail, A., Namoun, A., Alrehaili, A., & Ali, A. (2021). A Survey on 5G Enabled Multi-Access Edge Computing for Smart Cities: Issues and Future Prospects. International Journal of Computer Science & Network Security, 21(6), 107-118.   DOI
16 Polese, M., Giordani, M., Mezzavilla, M., Rangan, S., & Zorzi, M. (2017). Improved handover through dual connectivity in 5G mmWave mobile networks. IEEE Journal on Selected Areas in Communications, 35(9), 2069-2084.   DOI
17 Vasudeva, K., Dikmese, S., Guven, I., Mehbodniya, A., Saad, W., & Adachi, F. (2017). Fuzzy-based game theoretic mobility management for energy efficient operation in HetNets. IEEE Access, 5, 7542-7552.   DOI
18 Mukherjee, A. (2018). Energy efficiency and delay in 5G ultra-reliable low-latency communications system architectures. IEEE network, 32(2), 55-61.   DOI
19 Koda, Y., Nakashima, K., Yamamoto, K., Nishio, T., & Morikura, M. (2019). Handover management for mmwave networks with proactive performance prediction using camera images and deep reinforcement learning. IEEE Transactions on Cognitive Communications and Networking, 6(2), 802-816.   DOI
20 Skrimponis, P., Dutta, S., Mezzavilla, M., Rangan, S., Mirfarshbafan, S. H., Studer, C., ... & Rodwell, M. (2020, March). Power consumption analysis for mobile mmWave and sub-THz receivers. In 2020 2nd 6G Wireless Summit (6G SUMMIT) (pp. 1-5). IEEE.
21 Giordani, M., Mezzavilla, M., Rangan, S., & Zorzi, M. (2016, June). Multi-connectivity in 5G mmWave cellular networks. In 2016 Mediterranean Ad Hoc Networking Workshop (Med- Hoc-Net) (pp. 1-7). IEEE.
22 Gures, E., Shayea, I., Alhammadi, A., Ergen, M., & Mohamad, H. (2020). A comprehensive survey on mobility management in 5G heterogeneous networks: Architectures, challenges and solutions. IEEE Access, 8, 195883-195913.   DOI
23 Malm, N., Zhou, L., Menta, E., Ruttik, K., Jantti, R., Tirkkonen, O., ... & Leppanen, K. (2018, July). User localization enabled ultra-dense network testbed. In 2018 IEEE 5G World Forum (5GWF) (pp. 405-409). IEEE.
24 Zhang, Y., Deng, R. H., Bertino, E., & Zheng, D. (2019). Robust and universal seamless handover authentication in 5G HetNets. IEEE Transactions on Dependable and Secure Computing, 18(2), 858-874.
25 Verbrugge, S., Pasqualini, S., Westphal, F. J., Jager, M., Iselt, A., Kirstadter, A., ... & Demeester, P. (2005, February). Modeling operational expenditures for telecom operators. In Proceedings of Conference on Optical Network Design and Modeling (pp. 455-466).
26 Soleimani, H., Parada, R., Tomasin, S., & Zorzi, M. (2019). Fast initial access for mmWave 5G systems with hybrid beamforming using online statistics learning. IEEE Communications Magazine, 57(9), 132-137.   DOI
27 Alkhateeb, A., Alex, S., Varkey, P., Li, Y., Qu, Q., & Tujkovic, D. (2018). Deep learning coordinated beamforming for highly-mobile millimeter wave systems. IEEE Access, 6, 37328-37348.   DOI
28 Ma, R., Cao, J., Feng, D., Li, H., & He, S. (2019). FTGPHA: Fixed-trajectory group pre-handover authentication mechanism for mobile relays in 5G high-speed rail networks. IEEE transactions on vehicular technology, 69(2), 2126-2140.   DOI
29 Alsaeedy, A. A., & Chong, E. K. (2019). Mobility management for 5G IoT devices: Improving power consumption with lightweight signaling overhead. IEEE Internet of Things Journal, 6(5), 8237-8247.   DOI
30 Huang, J., & Qian, Y. (2020). A secure and efficient handover authentication and key management protocol for 5G networks. Journal of Communications and Information Networks, 5(1), 40-49.   DOI
31 Hu, J., Zhang, H., Liu, Y., Li, X., & Ji, H. (2019, April). An intelligent uav deployment scheme for load balance in small cell networks using machine learning. In 2019 IEEE Wireless Communications and Networking Conference (WCNC) (pp. 1-6). IEEE.
32 Zhang, B., Qi, W., & Zhang, J. (2018, January). An energy efficiency and ping-pong handover ratio optimization in twotier heterogeneous networks. In 2018 IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC) (pp. 532-536). IEEE.
33 Mohamed, A., Onireti, O., Imran, M. A., Imran, A., & Tafazolli, R. (2016). Predictive and core-network efficient RRC signalling for active state handover in RANs with control/data separation. IEEE Transactions on Wireless Communications, 16(3), 1423-1436.   DOI
34 Zhang, J., Zeng, Y., & Zhang, R. (2017, May). Spectrum and energy efficiency maximization in UAV-enabled mobile relaying. In 2017 IEEE International Conference on Communications (ICC) (pp. 1-6). IEEE.
35 Li, L., Wang, D., Niu, X., Chai, Y., Chen, L., He, L., ... & You, X. (2018). mmWave communications for 5G: implementation challenges and advances. Science China Information Sciences, 61(2), 1-19.   DOI
36 Attaoui, W., Bouraqia, K., Sabir, E., Benjillali, M., & Elazouzi, R. (2019, June). Beam alignment game for selforganized mmWave-empowered 5G initial access. In 2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC) (pp. 2050-2057). IEEE.
37 Hasan, M. M., Kwon, S., & Oh, S. (2018). Frequent-handover mitigation in ultra-dense heterogeneous networks. IEEE Transactions on Vehicular Technology, 68(1), 1035-1040.   DOI