Spatiotemporal Traffic Analysis for E-work and Remote Collaborations in 5G Private Networks

The customized fifth generation (5G) private net-work is one of the most promising solutions to deal with the challenges of various flexible and differentiated application demands. Before customizing the 5G private network, network traffic analysis is necessary to be conducted. This article first introduces three typical 5G private network deployment modes and the typical application scenarios. Due to the correlation between spatial traffic and temporal traffic in 5G private net-works, characterizing both spatial randomness and temporal randomness is challenging. Thus, a spatiotemporal traffic analytical framework based on stochastic geometry and queueing theory is introduced in this article. This spatiotemporal traffic analytical framework helps guide the traffic analysis of 5G private networks and the deployment of 5G private networks. A case study of the spatiotemporal traffic analysis on a 5G private network is illustrated, where the metrics such as successful transmission probability, data transmission rate, and time delay are analyzed.

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Publication Details

Journal
X-Disciplinarity
Published
2025-05-18
DOI
https://doi.org/10.63174/xdi.rxnj2502
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Spatiotemporal Traffic Analysis for E-work and Remote Collaborations in 5G Private Networks

Xuran Li, Lanying Pan, Ruidong Li, Zijun Liu et al.
X-Disciplinarity
Advanced MIMO Systems Optimization
article

Spatiotemporal Traffic Analysis for E-work and Remote Collaborations in 5G Private Networks

Xuran Li, Lanying Pan, Ruidong Li, Zijun Liu, Ji Zhong, Zhaogui Zeng
article en

Abstract

The customized fifth generation (5G) private net-work is one of the most promising solutions to deal with the challenges of various flexible and differentiated application demands. Before customizing the 5G private network, network traffic analysis is necessary to be conducted. This article first introduces three typical 5G private network deployment modes and the typical application scenarios. Due to the correlation between spatial traffic and temporal traffic in 5G private net-works, characterizing both spatial randomness and temporal randomness is challenging. Thus, a spatiotemporal traffic analytical framework based on stochastic geometry and queueing theory is introduced in this article. This spatiotemporal traffic analytical framework helps guide the traffic analysis of 5G private networks and the deployment of 5G private networks. A case study of the spatiotemporal traffic analysis on a 5G private network is illustrated, where the metrics such as successful transmission probability, data transmission rate, and time delay are analyzed.

X-DisciplinarityVol. 1(2)
Shandong Normal University (CN), Cloud Computing Center (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 91%
Advanced MIMO Systems Optimization
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Spatiotemporal Traffic Analysis for E-work and Remote Collaborations in 5G Private Networks — Xuran Li, Lanying Pan, et al. · X-Disciplinarity (2025) | TGRS Research Map | TGRS