MSCHF algorithm for minimizing signaling costs and enhancing vertical handover efficiency in wireless communications networks


Khattab O. Al-Kadri M.O. Av S. Balasubramanian S.B. Sulaiman S.B.M. Alani O. Abozariba R. Farah M.B. Akhunzada A.
29 October 2025PeerJ Inc.

PeerJ Computer Science
2025#11

The vertical handover (VHO) is an essential part of heterogeneous wireless networks, which allows User Equipment (UEs) to roam among different radio access technologies (RATs) and connect to a network that best satisfies their needs, such as wireless local area network (WLAN) and 5G. Many VHO research works in the literature have been proposed to provide a seamless UE transition between multiple RATs, considering packet loss, delay, and throughput parameters. However, signaling cost and handover failure as vital factors in providing seamless VHO have not been considered thoroughly, particularly between WLAN and 5G. Therefore, this paper presents a comprehensive performance evaluation for a new algorithm for Minimizing Signaling Cost and Handover Failure (MSCHF) for co-located WLAN and 5G networks. Through numerical, mathematical, and simulation analyses, MSCHF achieves a 40% reduction in signaling cost, a 50% decrease in handover failure rate, and significant improvements in buffer consumption, resource allocation time, and handoff decision time compared to traditional methods. It is shown that the proposed MSCHF algorithm outperforms the non-MSCHF algorithm in minimizing signaling cost and probability of handover failure. These results highlight MSCHF’s potential to advance wireless network management by optimizing critical performance metrics.

5G , Efficient communications , Heterogeneous wireless networks , Mobile networks , Vertical handover , Wireless networks

Text of the article Перейти на текст статьи

Department of Computer Science and Engineering, Kuwait College of Science and Technology, Kuwait
College of Computing and Information Technology, University of Doha for Science and Technology, Qatar
Department of Computer Science and Engineering (Data Science), Mohan Babu University, Tirupati, India
Department of Computing, De Montfort University Kazakhstan, Almaty, Kazakhstan
Research, Innovation and Entrepreneur Unit, University of Buraimi, Al Buraimi, Oman
School of Science, Engineering and Environment, University of Salford, Salford, United Kingdom
College of Computing, Birmingham City University, Brimingham, United Kingdom

Department of Computer Science and Engineering
College of Computing and Information Technology
Department of Computer Science and Engineering (Data Science)
Department of Computing
Research
School of Science
College of Computing

10 лет помогаем публиковать статьи Международный издатель

Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026