Optimizing 5G-Advanced Networks for Time-critical Applications: The Role of L4S

Fuente: arXiv
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Autores principales: Pan, Guangjin, Xu, Shugong, Jiang, Pin
Formato: Preprint
Publicado: 2024
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author Pan, Guangjin
Xu, Shugong
Jiang, Pin
author_facet Pan, Guangjin
Xu, Shugong
Jiang, Pin
contents As 5G networks strive to support advanced time-critical applications, such as immersive Extended Reality (XR), cloud gaming, and autonomous driving, the demand for Real-time Broadband Communication (RTBC) grows. In this article, we present the main mechanisms of Low Latency, Low Loss, and Scalable Throughput (L4S). Subsequently, we investigate the support and challenges of L4S technology in the latest 3GPP 5G-Advanced Release 18 (R18) standard. Our case study, using a prototype system for a real-time communication (RTC) application, demonstrates the superiority of L4S technology. The experimental results show that, compared with the GCC algorithm, the proposed L4S-GCC algorithm can reduce the stalling rate by 1.51%-2.80% and increase the bandwidth utilization by 11.4%-31.4%. The results emphasize the immense potential of L4S technology in enhancing transmission performance in time-critical applications.
format Preprint
id arxiv_https___arxiv_org_abs_2407_20852
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Optimizing 5G-Advanced Networks for Time-critical Applications: The Role of L4S
Pan, Guangjin
Xu, Shugong
Jiang, Pin
Networking and Internet Architecture
Multimedia
Systems and Control
As 5G networks strive to support advanced time-critical applications, such as immersive Extended Reality (XR), cloud gaming, and autonomous driving, the demand for Real-time Broadband Communication (RTBC) grows. In this article, we present the main mechanisms of Low Latency, Low Loss, and Scalable Throughput (L4S). Subsequently, we investigate the support and challenges of L4S technology in the latest 3GPP 5G-Advanced Release 18 (R18) standard. Our case study, using a prototype system for a real-time communication (RTC) application, demonstrates the superiority of L4S technology. The experimental results show that, compared with the GCC algorithm, the proposed L4S-GCC algorithm can reduce the stalling rate by 1.51%-2.80% and increase the bandwidth utilization by 11.4%-31.4%. The results emphasize the immense potential of L4S technology in enhancing transmission performance in time-critical applications.
title Optimizing 5G-Advanced Networks for Time-critical Applications: The Role of L4S
topic Networking and Internet Architecture
Multimedia
Systems and Control
url https://arxiv.org/abs/2407.20852