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

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 percent and increase the bandwidth utilization by 11.4-31.4 percent. The results emphasize the immense potential of L4S technology in enhancing transmission performance in time-critical applications.

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Publication Details

Journal
IEEE Wireless Communications
Published
2024-08-26
DOI
https://doi.org/10.1109/mwc.004.2400094
Citations
2
Primary Topic
Wireless Body Area Networks
Type
article
Field-Weighted Citation Impact
0.37
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article

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

Shugong Xu, Guangjin Pan, Jiang Pin
2 citations
IEEE Wireless Communications
Wireless Body Area Networks
0.37
article

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

Shugong Xu, Guangjin Pan, Jiang Pin
article en
2 citations

Abstract

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 percent and increase the bandwidth utilization by 11.4-31.4 percent. The results emphasize the immense potential of L4S technology in enhancing transmission performance in time-critical applications.

IEEE Wireless CommunicationsVol. 32(2)
Shanghai University (CN), Shanghai University of Engineering Science (CN), Huawei Technologies (China) (CN), Huawei Technologies (United Kingdom) (GB)
Openalex Percentile: Top 44%
Wireless Body Area Networks
0.37
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