Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
184 tokens/sec
GPT-4o
7 tokens/sec
Gemini 2.5 Pro Pro
45 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
38 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Optimizing 5G-Advanced Networks for Time-critical Applications: The Role of L4S (2407.20852v1)

Published 30 Jul 2024 in cs.NI, cs.MM, cs.SY, and eess.SY

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% 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.

Definition Search Book Streamline Icon: https://streamlinehq.com
References (15)
  1. G. Carlucci, L. De Cicco, S. Holmer, and S. Mascolo, “Congestion control for web real-time communication,” IEEE/ACM Trans. Netw., vol. 25, no. 5, pp. 2629–2642, 2017.
  2. B. Briscoe, K. D. Schepper, M. Bagnulo, and G. White, “Low Latency, Low Loss, and Scalable Throughput (L4S) Internet Service: Architecture,” RFC 9330, Jan. 2023. [Online]. Available: https://www.rfc-editor.org/info/rfc9330
  3. K. D. Schepper and B. Briscoe, “The Explicit Congestion Notification (ECN) Protocol for Low Latency, Low Loss, and Scalable Throughput (L4S),” RFC 9331, Jan. 2023. [Online]. Available: https://www.rfc-editor.org/info/rfc9331
  4. 3GPP TR 23.700-60, “Technical Specification Group Services and System Aspects; Study on XR (Extended Reality) and media services (Release 18),” V18.0.0, Dec. 2022.
  5. P. Willars, E. Wittenmark, H. Ronkainen, C. Östberg, I. Johansson, J. Strand, P. Lédl, and D. Schnieders, “Enabling time-critical applications over 5G with rate adaptation,” Ericsson White Paper, May 2021. [Online]. Available: https://www.ericsson.com/en/reports-and-papers/white-papers/enabling-time-critical-applications-over-5g-with-rate-adaptation
  6. W. Coomans, K. D. Schepper, and O. Tilmans, “L4S – low latency, low loss, and scalable throughput Enabling large-scale deployments of low-latency services,” Nokia White Paper, Aug. 2023. [Online]. Available: https://onestore.nokia.com/asset/213410
  7. O. Albisser, K. De Schepper, B. Briscoe, O. Tilmans, and H. Steen, “Dualpi2-low latency, low loss and scalable throughput (l4s) aqm,” in Proc. of Netdev’2019, 2019.
  8. D. Brunello, I. Johansson S, M. Ozger, and C. Cavdar, “Low latency low loss scalable throughput in 5g networks,” in VTC-Spring’2021, 2021, pp. 1–7.
  9. J. Son, Y. Sanchez, C. Hellge, and T. Schierl, “Adaptable L4S congestion control for cloud-based real-time streaming over 5G,” IEEE Open J. Signal Process., pp. 1–9, 2024.
  10. P. Graff, X. Marchal, T. Cholez, B. Mathieu, S. Tuffin, and O. Festor, “Improving Cloud Gaming traffic QoS: a comparison between class-based queuing policy and L4S,” in Proc. of TMA’2024, 2024, pp. 1–10.
  11. K. D. Schepper, B. Briscoe, and G. White, “Dual-Queue Coupled Active Queue Management (AQM) for Low Latency, Low Loss, and Scalable Throughput (L4S),” RFC 9332, Jan. 2023. [Online]. Available: https://www.rfc-editor.org/info/rfc9332
  12. 3GPP TS 23.501, “Technical Specification Group Services and System Aspects; System architecture for the 5G System (5GS); Stage 2 (Release 18),” V18.4.0, Dec. 2023.
  13. 3GPP TS 38.300, “Technical Specification Group Radio Access Network; NR; NR and NG-RAN Overall Description; Stage 2 (Release 18),” V18.0.0, Dec. 2023.
  14. “Pion.” [Online]. Available: https://github.com/pion
  15. G. Pan, S. Xu, S. Zhang, X. Chen, and Y. Sun, “Quality of experience optimization for real-time XR video transmission with energy constraints,” IEEE Trans. Veh. Technol., 2024.

Summary

We haven't generated a summary for this paper yet.