Micro-burst Analysis and Mitigation for 5G Low-latency Communication Services

被引:0
|
作者
Tojo, Takuya [1 ]
Baba, Hiroki [1 ]
Yasukawa, Seisho [1 ]
Okazaki, Yoshikatsu [1 ]
机构
[1] NTT Corp, Network Technol Labs, Musashino, Tokyo, Japan
关键词
5G; micro-burst; low-latency; mobile network;
D O I
10.1109/5gwf.2019.8911634
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Micro-bursts are a common problem in data center networks, and many studies have analyzed ways to mitigate micro-burst traffic. However, little attention has been paid to micro-burst impacts in mobile networks even though fifth generation (5G) mobile networks have stringent performance requirements such as low-latency communications. For example, third generation partnership project (3GPP) defines the minimum requirement of end-to-end latency as 5 milliseconds. We need to consider how to avoid micro-bursts in a data center of 5G networks because the end-to-end definition includes not only radio access networks and mobile backhaul but also data center networks deploying user plane function (UPF). 5G networks have some differences from networks in past micro-burst studies. Applications requiring low-latency communications are not backend systems assumed in the previous studies. Augmented reality (AR) and vehicle to everything (V2X) messages are typical delay sensitive applications in 5G networks. Furthermore, the traditional approaches for absorbing micro-burst traffic such as a deep buffer and buffer allocation scheme cannot be used in 5G networks because packet buffering increases queueing latency. In this paper, we analyze micro-burst characteristics in 5G networks in order to clarify what types of applications and what network architecture cause micro-bursts. For mitigating micro-bursts, we evaluate quality of service (QoS) schedulers and window size control of transmission control protocol (TCP). The results show that the TCP window size control can reduce queuing latency to be sub-millisecond without any additional mechanisms or equipment while priority queueing (PQ) and weighted round robin (WRR) schedulers have some limitations.
引用
收藏
页码:232 / 236
页数:5
相关论文
共 50 条
  • [31] URLLC Services in 5G Low Latency Enhancements for LTE
    Fehrenbach, Thomas
    Datta, Rohit
    Goektepe, Baris
    Wirth, Thomas
    Hellge, Cornelius
    2018 IEEE 88TH VEHICULAR TECHNOLOGY CONFERENCE (VTC-FALL), 2018,
  • [32] Heterogeneous Optical Access Networks: Enabling Low-Latency 5G Services With a Silicon Photonic Smart Edge
    Guan, Xun
    Dube-Demers, Raphael
    Shi, Wei
    Rusch, Leslie A.
    JOURNAL OF LIGHTWAVE TECHNOLOGY, 2021, 39 (08) : 2348 - 2357
  • [33] Integration of Network Slicing and Machine Learning into Edge Networks for Low-Latency Services in 5G and beyond Systems
    Domeke, Afra
    Cimoli, Bruno
    Monroy, Idelfonso Tafur
    APPLIED SCIENCES-BASEL, 2022, 12 (13):
  • [34] Interference-Aware Radio Resource Allocation for 5G Ultra-Reliable Low-Latency Communication
    Malik, Hassan
    Alam, Muhammad Mahtab
    Le Moullec, Yannick
    Ni, Qiang
    2018 IEEE GLOBECOM WORKSHOPS (GC WKSHPS), 2018,
  • [35] 5G Ultra-Reliable Low-Latency Communication Implementation Challenges and Operational Issues with IoT Devices
    Siddiqi, Murtaza Ahmed
    Yu, Heejung
    Joung, Jingon
    ELECTRONICS, 2019, 8 (09)
  • [36] Low-Latency Computation Offloading based on 5G Edge Computing Systems
    Pan, Zhen-Yuan
    Chen, Jiann-Liang
    Chang, Yao-Chung
    2022 24TH INTERNATIONAL CONFERENCE ON ADVANCED COMMUNICATION TECHNOLOGY (ICACT): ARITIFLCIAL INTELLIGENCE TECHNOLOGIES TOWARD CYBERSECURITY, 2022,
  • [37] Software-Defined Networking for Low-Latency 5G Core Network
    Page, Jeremy
    Dricot, Jean-Michel
    2016 INTERNATIONAL CONFERENCE ON MILITARY COMMUNICATIONS AND INFORMATION SYSTEMS (ICMCIS), 2016,
  • [38] SoftBox: A Customizable, Low-Latency, and Scalable 5G Core Network Architecture
    Moradi, Mehrdad
    Lin, Yikai
    Mao, Z. Morley
    Sen, Subhabrata
    Spatscheck, Oliver
    IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2018, 36 (03) : 438 - 456
  • [39] Low-Latency QC-LDPC Encoder Design for 5G NR
    Tian, Yunke
    Bai, Yong
    Liu, Dake
    SENSORS, 2021, 21 (18)
  • [40] Radio Access for Ultra-Reliable and Low-Latency 5G Communications
    Johansson, Niklas A.
    Wang, Y. -P. Eric
    Eriksson, Erik
    Hessler, Martin
    2015 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATION WORKSHOP (ICCW), 2015, : 1184 - 1189