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.
Authors
- Xuran Li (ORCID: https://orcid.org/0000-0002-2658-6113)
- Lanying Pan (ORCID: https://orcid.org/0000-0002-1393-5409)
- Ruidong Li
- Zijun Liu (ORCID: https://orcid.org/0000-0003-3928-0428)
- Ji Zhong
- Zhaogui Zeng
Institutions
- Shandong Normal University (CN)
- Cloud Computing Center (CN)
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
Funders
- National Key Research and Development Program of China