AHP-TOPSIS based handover algorithm with distance prediction for 5G networks

Goh, Mark Irwin and Yew, Hoe Tung and Chung Seng Kheau @ Untung Ngen Fui and Aroland M'Conie Jilui Kiring and Abbas Ibrahim Mbulwa (2022) AHP-TOPSIS based handover algorithm with distance prediction for 5G networks. In: 2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA), 12 May 2022, Selangor, Malaysia.

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Abstract

5G is growing globally, and the handover performance is needed to be updated and improved to adapt to new changes in telecommunication. 5G are considered small cell networks that are anticipated to have a short dwell time for users that move at high speed, like a vehicle traversing the 5G cell at a rate of 40km/h and above. It induces unnecessary handover that causes poor user experience and waste of network resources. This research tackles the problem by proposing a new handover algorithm that integrates a travel distance prediction method with AHP-TOPSIS (Analytic Hierarchy Process - Techniques for Order Preference by Similarity for an Ideal Solution) decision making. The proposed algorithm has successfully reduced the unnecessary handover in 5G networks up to 89.75% compared to the conventional TOPSIS method.

Item Type:	Conference or Workshop Item (Paper)
Keyword:	Unnecessary handover , 5G , High-speed scenario , Handover decision making , Distance prediction
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1-9971 Electrical engineering. Electronics. Nuclear engineering > TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television
Department:	FACULTY > Faculty of Engineering
Depositing User:	SAFRUDIN BIN DARUN -
Date Deposited:	10 Nov 2022 20:45
Last Modified:	10 Nov 2022 20:45
URI:	https://eprints.ums.edu.my/id/eprint/34733

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