Velocity-Aware Handover Self-Optimization Management for Next Generation Networks

Citation

Alhammadi, Abdulraqeb Shaif Ahmed and Alquhali, Abdullah H. and Shayea, Ibraheem and Roslee, Mardeni and Alias, Mohamad Yusoff (2020) Velocity-Aware Handover Self-Optimization Management for Next Generation Networks. Applied Sciences, 10 (4). pp. 1-14. ISSN 2076-3417

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Abstract

The fifth generation (5G) network is an upcoming standard for wireless communications that coexists with the current 4G network to increase the throughput. The deployment of ultra-dense small cells (UDSC) over a macro-cell layer yields multi-tier networks, which are known as heterogeneous networks (HetNets). HetNets play a key role in the cellular network to provide services to numerous users. However, the number of handovers (HOs) and radio link failure (RLF) greatly increase due to the increase in the UDSC in the network. Therefore, mobility management becomes a very important function in a self-organizing network to improve the system performance. In this paper, we propose a velocity-based self-optimization algorithm to adjust the HO control parameters in 4G/5G networks. The proposed algorithm utilizes the user’s received power and speed to adjust the HO margin and the time to trigger during the user’s mobility in the network. Simulation results demonstrate that the proposed algorithm achieves a remarkable reduction in the rate of ping-pong HOs and RLF compared with other existing algorithms, thereby outperforming such algorithms by an average of more than 70% for all HO performance metrics.

Item Type: Article
Uncontrolled Keywords: 5G mobile communication systems, handover, HetNets, mobility management, self-optimization
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions: Faculty of Engineering (FOE)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 28 Dec 2020 16:22
Last Modified: 28 Dec 2020 16:22
URII: http://shdl.mmu.edu.my/id/eprint/8018

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