Time-To-Exit: A Soft Instantaneous MRO Parameter for Handover Self-Optimization in 5G and Beyond

This letter introduces Time-to-Exit (TTE), a soft mobility robustness optimization (MRO) parameter for handover management in 5G and beyond. The deployment of small cells to meet higher capacity demands complicates mobility management, leading to frequent handovers, ping-pong effects, unnecessary handovers, and handover failures due to premature, delayed, or incorrect cell transitions. We propose an instantaneous TTE estimation model that uses location measurements, moving speed, Reference Signal Received Power (RSRP), and quality thresholds (<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$Q_{rxlevmin}$ </tex-math></inline-formula> and REFSENS) to optimize handover initiation before the user exits the serving cell. This method aims to improve handover performance while maintaining high data throughput.

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Publication Details

Journal
IEEE Wireless Communications Letters
Published
2024-12-30
DOI
https://doi.org/10.1109/lwc.2024.3524090
Citations
2
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
0.42
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article

Time-To-Exit: A Soft Instantaneous MRO Parameter for Handover Self-Optimization in 5G and Beyond

Jamal Ahmad Dargham, Abbas Ibrahim Mbulwa, Ali Chekima, Hoe Tung Yew
2 citations
IEEE Wireless Communications Letters
Advanced MIMO Systems Optimization
0.42
article

Time-To-Exit: A Soft Instantaneous MRO Parameter for Handover Self-Optimization in 5G and Beyond

Jamal Ahmad Dargham, Abbas Ibrahim Mbulwa, Ali Chekima, Hoe Tung Yew
article en
2 citations

Abstract

This letter introduces Time-to-Exit (TTE), a soft mobility robustness optimization (MRO) parameter for handover management in 5G and beyond. The deployment of small cells to meet higher capacity demands complicates mobility management, leading to frequent handovers, ping-pong effects, unnecessary handovers, and handover failures due to premature, delayed, or incorrect cell transitions. We propose an instantaneous TTE estimation model that uses location measurements, moving speed, Reference Signal Received Power (RSRP), and quality thresholds (<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$Q_{rxlevmin}$ </tex-math></inline-formula> and REFSENS) to optimize handover initiation before the user exits the serving cell. This method aims to improve handover performance while maintaining high data throughput.

IEEE Wireless Communications LettersVol. 14(3)
Universiti of Malaysia Sabah (MY)
Openalex Percentile: Top 36%
Advanced MIMO Systems Optimization
0.42
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