Enterprise Approach: Performance Analysis of Wi-Fi 6 and 5G Private LAN With Micro-Slicing Feature
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Le résumé fourni par la source
This study presents a comprehensive comparison of the performance indicators, namely latency, packet drop, and throughput, for commercial Wi-Fi and 5G LAN systems in both enterprise and warehouse environments. This pioneering assessment marks the first evaluation of actual commercial hardware products in such critical settings. The study focuses on both downlink (DL) and uplink (UL) data flows, employing Transmission Control Protocol (TCP) and User Datagram Protocol (UDP) within these networks. The results from these real-life deployments indicate that Wi-Fi networks, when subjected to increased UL/DL traffic, tend to experience stability issues. This is particularly evident in the form of significant packet drops and increased latency, adversely affecting traffic that is sensitive to delays. Mobility scenarios, which involve device transitions between multiple Wi-Fi Access Points, further intensify these challenges. In contrast, the 5G LAN systems showcased remarkable performance in both stationary and mobile conditions. They consistently maintained a low rate of packet drops. This robust performance can be attributed to the efficient use of TDD frame allocation and Medium Access Control (MAC) scheduling techniques. Notably, micro-slicing feature in the 5G LAN setups was instrumental in ensuring reduced latency across various testing scenarios, proving its efficacy in diverse operational contexts.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Enterprise Approach: Performance Analysis of Wi-Fi 6 and 5G Private LAN With Micro-Slicing Feature
- Date Crossref
- 01/01/2024
- Éditeur
- Institute of Electrical and Electronics Engineers (IEEE)
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
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