Ullah Yasir, Roslee Mardeni Bin, Mitani Sufian Mousa, Khan Sajjad Ahmad, Jusoh Mohamad Huzaimy
Centre for Wireless Technology, Faculty of Engineering, Multimedia University, Cyberjaya 63100, Malaysia.
Head of Next Generation Network Research Institute, Telekom Malaysia Research & Development, Cyberjaya 63000, Malaysia.
Sensors (Basel). 2023 May 25;23(11):5081. doi: 10.3390/s23115081.
Fifth-generation (5G) networks offer high-speed data transmission with low latency, increased base station volume, improved quality of service (QoS), and massive multiple-input-multiple-output (M-MIMO) channels compared to 4G long-term evolution (LTE) networks. However, the COVID-19 pandemic has disrupted the achievement of mobility and handover (HO) in 5G networks due to significant changes in intelligent devices and high-definition (HD) multimedia applications. Consequently, the current cellular network faces challenges in propagating high-capacity data with improved speed, QoS, latency, and efficient HO and mobility management. This comprehensive survey paper specifically focuses on HO and mobility management issues within 5G heterogeneous networks (HetNets). The paper thoroughly examines the existing literature and investigates key performance indicators (KPIs) and solutions for HO and mobility-related challenges while considering applied standards. Additionally, it evaluates the performance of current models in addressing HO and mobility management issues, taking into account factors such as energy efficiency, reliability, latency, and scalability. Finally, this paper identifies significant challenges associated with HO and mobility management in existing research models and provides detailed evaluations of their solutions along with recommendations for future research.
与4G长期演进(LTE)网络相比,第五代(5G)网络提供了低延迟的高速数据传输、增加的基站数量、更高的服务质量(QoS)以及大规模多输入多输出(M-MIMO)信道。然而,由于智能设备和高清(HD)多媒体应用的显著变化,新冠疫情扰乱了5G网络中移动性和切换(HO)的实现。因此,当前的蜂窝网络在以更高的速度、QoS、更低的延迟以及高效的切换和移动性管理来传播高容量数据方面面临挑战。这篇全面的综述论文特别关注5G异构网络(HetNets)中的切换和移动性管理问题。本文深入研究了现有文献,并在考虑应用标准的同时,研究了切换和移动性相关挑战的关键性能指标(KPI)和解决方案。此外,它还评估了当前模型在解决切换和移动性管理问题方面的性能,同时考虑了能源效率、可靠性、延迟和可扩展性等因素。最后,本文确定了现有研究模型中与切换和移动性管理相关的重大挑战,并对其解决方案进行了详细评估,同时为未来研究提供了建议。