An In-Depth Measurement Analysis of 5G mmWave PHY Latency and Its Impact on End-to-End Delay

Rostand A. K. Fezeu, Eman Ramadan, Wei Ye, Benjamin Minneci, Jack Xie, Arvind Narayanan, Ahmad Hassan, Feng Qian, Zhi-li Zhang, Jaideep Chandrashekar, Myungjin Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

26 Scopus citations

Abstract

5G aims to offer not only significantly higher throughput than previous generations of cellular networks, but also promises millisecond (ms) and sub-millisecond (ultra-)low latency support at the 5G physical (PHY) layer for future applications. While prior measurement studies have confirmed that commercial 5G deployments can achieve up to several Gigabits per second (Gbps) throughput (especially with the mmWave 5G radio), are they able to deliver on the (sub) millisecond latency promise? With this question in mind, we conducted to our knowledge the first in-depth measurement study of commercial 5G mmWave PHY latency using detailed physical channel events and messages. Through carefully designed experiments and data analytics, we dissect various factors that influence 5G PHY latency of both downlink and uplink data transmissions, and explore their impacts on end-to-end delay. We find that while in the best cases, the 5G (mmWave) PHY-layer is capable of delivering ms/sub-ms latency (with a minimum of 0.09 ms for downlink and 0.76 ms for uplink), these happen rarely. A variety of factors such as channel conditions, re-transmissions, physical layer control and scheduling mechanisms, mobility, and application (edge) server placement can all contribute to increased 5G PHY latency (and thus end-to-end (E2E) delay). Our study provides insights to 5G vendors, carriers as well as application developers/content providers on how to better optimize or mitigate these factors for improved 5G latency performance.

Original languageEnglish (US)
Title of host publication Lecture Notes in Computer Science
EditorsAnna Brunstrom, Marcel Flores, Marco Fiore
PublisherSpringer
Pages284-312
Number of pages29
Volume13882
ISBN (Print)9783031284854
DOIs
StatePublished - Mar 10 2023

Publication series

NamePassive and Active Measurement
Volume13882
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

  • 5G
  • 5G Latency Dataset
  • AWS Local Zone
  • AWS Regional Zone
  • AWS WaveLength
  • End-to-end
  • Latency
  • Network measurement
  • PHY Layer
  • Sub-millisec
  • mmWave

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