Next Article in Journal
HBIM-GIS Integration: From IFC to CityGML Standard for Damaged Cultural Heritage in a Multiscale 3D GIS
Next Article in Special Issue
Primary User Traffic Pattern Based Opportunistic Spectrum Handoff in Cognitive Radio Networks
Previous Article in Journal
Developing a Novel Machine Learning-Based Classification Scheme for Predicting SPCs in Colorectal Cancer Survivors
Previous Article in Special Issue
D-RoF and A-RoF Interfaces in an All-Optical Fronthaul of 5G Mobile Systems
Open AccessArticle

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

Faculty of Engineering, Multimedia University, Selangor 63100, Malaysia
Department of Electronics and Communication Engineering, Istanbul Technical University, Istanbul 34467, Turkey
Author to whom correspondence should be addressed.
Appl. Sci. 2020, 10(4), 1354;
Received: 9 December 2019 / Revised: 18 January 2020 / Accepted: 20 January 2020 / Published: 17 February 2020
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. View Full-Text
Keywords: handover; HetNets; mobility management; self-optimization handover; HetNets; mobility management; self-optimization
Show Figures

Figure 1

MDPI and ACS Style

Alhammadi, A.; Roslee, M.; Alias, M.Y.; Shayea, I.; Alquhali, A. Velocity-Aware Handover Self-Optimization Management for Next Generation Networks. Appl. Sci. 2020, 10, 1354.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Search more from Scilit
Back to TopTop