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Publication:
Key Challenges, Drivers and Solutions for Mobility Management in 5G Networks: A Survey

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Ergen, Mustafa
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Shayea, Ibraheem Abdullah Mohammed
Doktor Öğretim Üyesi

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Institute of Electrical and Electronics Engineers (IEEE)

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Ensuring a seamless connection during the mobility of various User Equipments (UEs) will be one of the major challenges facing the practical implementation of the Fifth Generation (5G) networks and beyond. Several key determinants will significantly contribute to numerous mobility challenges. One of the most important determinants is the use of millimeter waves (mm-waves) as it is characterized by high path loss. The inclusion of various types of small coverage Base Stations (BSs), such as Picocell, Femtocell and drone-based BSs is another challenge. Other issues include the use of Dual Connectivity (DC), Carrier Aggregation (CA), the massive growth of mobiles connections, network diversity, the emergence of connected drones (as BS or UE), ultra-dense network, inefficient optimization processes, central optimization operations, partial optimization, complex relation in optimization operations, and the use of inefficient handover decision algorithms. The relationship between these processes and diverse wireless technologies can cause growing concerns in relation to handover associated with mobility. The risk becomes critical with high mobility speed scenarios. Therefore, mobility issues and their determinants must be efficiently addressed. This paper aims to provide an overview of mobility management in 5G networks. The work examines key factors that will significantly contribute to the increase of mobility issues. Furthermore, the innovative, advanced, efficient, and smart handover techniques that have been introduced in 5G networks are discussed. The study also highlights the main challenges facing UEs' mobility as well as future research directions on mobility management in 5G networks and beyond.

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IEEE Access

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OPEN

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General Computer Science, General Engineering, Mobility management, mobility robustness optimization, mobility challenges, TK Electrical engineering. Electronics Nuclear engineering, TK1-9971, handover problems, handover self-optimization, General Materials Science, Electrical engineering. Electronics. Nuclear engineering, handover

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