Title: Automatic handover parameter optimisation for ultra-dense small cell networks

Authors: Qianyu Liu; Lianwei Ma; Chiew Foong Kwong; Feifan Shen; Chenhao Shi

Addresses: School of Information Science and Engineering, NingboTech University, Ningbo, 315100, China ' School of Information Science and Engineering, NingboTech University, Ningbo, 315100, China ' Department of Electrical and Electronic Engineering, University of Nottingham Ningbo China, Ningbo, 315100, China ' School of Information Science and Engineering, NingboTech University, Ningbo, 315100, China ' Department of Electrical and Electronic Engineering, University of Nottingham Ningbo China, Ningbo, 315100, China

Abstract: In recent years, the exponential growth in global mobile traffic, driven by advanced applications, services, and devices, has led to the deployment of numerous small cell base stations to meet future network needs. Ensuring stable connectivity is crucial for seamless mobile user experiences. This paper introduces an adaptive fuzzy logic-based handover parameter adjustment approach aimed at enhancing UE mobility robustness by reducing handover failure (HOF) and ping-pong handover (PPHO) occurrences, all while maintaining high throughput. Simulation results demonstrate the method's effectiveness in adjusting handover parameters based on system performance indicators across different speed ranges. Compared to traditional fuzzy logic, clustering-based fuzzy logic, and A3 event-based optimisation methods, our proposed approach consistently outperforms in terms of reducing HOPP and HOF while sustaining high throughput levels.

Keywords: fuzzy logic; neural networks; mobility management; handover; ultra-dense networks; handover margin; A3-event; ping-pong handover; handover failure.

DOI: 10.1504/IJSCIP.2024.138668

International Journal of System Control and Information Processing, 2024 Vol.4 No.2, pp.109 - 122

Received: 07 Dec 2022
Accepted: 18 Aug 2023
Published online: 23 May 2024 *

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