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International Conference on Passive and Active Network Measurement

PAM 2022: Passive and Active Measurement pp 180–196Cite as

Can 5G mmWave Support Multi-user AR?

Part of the Lecture Notes in Computer Science book series (LNCS,volume 13210)

Abstract

Augmented Reality (AR) has been widely hailed as a representative of ultra-high bandwidth and ultra-low latency apps that will be enabled by 5G networks. While single-user AR can perform AR tasks locally on the mobile device, multi-user AR apps, which allow multiple users to interact within the same physical space, critically rely on the cellular network to support user interactions. However, a recent study showed that multi-user AR apps can experience very high end-to-end latency when running over LTE, rendering user interaction practically infeasible. In this paper, we study whether 5G mmWave, which promises significant bandwidth and latency improvements over LTE, can support multi-user AR by conducting an in-depth measurement study of the same popular multi-user AR app over both LTE and 5G mmWave.

Our measurement and analysis show that: (1) The E2E AR latency over LTE is significantly lower compared to the values reported in the previous study. However, it still remains too high for practical user interaction. (2) 5G mmWave brings no benefits to multi-user AR apps. (3) While 5G mmWave reduces the latency of the uplink visual data transmission, there are other components of the AR app that are independent of the network technology and account for a significant fraction of the E2E latency. (4) The app drains 66% more network energy, which translates to 28% higher total energy over 5G mmWave compared to over LTE.

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Acknowledgement

We thank our shepherd Arani Bhattacharya and the anonymous reviewers for their helpful comments. This work was supported in part by NSF grant 2112778-CNS.

Author information

Authors and Affiliations

  1. Northeastern University, Boston, USA

    Moinak Ghoshal & Dimitrios Koutsonikolas

  2. Purdue University, West Lafayette, USA

    Pranab Dash, Zhaoning Kong, Qiang Xu & Y. Charlie Hu

  3. Tsinghua University, Beijing, China

    Yuanjie Li

Authors
  1. Moinak Ghoshal
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  2. Pranab Dash
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  3. Zhaoning Kong
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  4. Qiang Xu
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  5. Y. Charlie Hu
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  6. Dimitrios Koutsonikolas
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  7. Yuanjie Li
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Corresponding author

Correspondence to Moinak Ghoshal .

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Editors and Affiliations

  1. Brandenburg University of Technology, Cottbus, Germany

    Oliver Hohlfeld

  2. SIDN Labs - TU Delft, Arnhem, The Netherlands

    Giovane Moura

  3. ICube - University of Strasbourg, Illkirch, France

    Cristel Pelsser

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Ghoshal, M. et al. (2022). Can 5G mmWave Support Multi-user AR?. In: Hohlfeld, O., Moura, G., Pelsser, C. (eds) Passive and Active Measurement. PAM 2022. Lecture Notes in Computer Science, vol 13210. Springer, Cham. https://doi.org/10.1007/978-3-030-98785-5_8

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  • DOI: https://doi.org/10.1007/978-3-030-98785-5_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-98784-8

  • Online ISBN: 978-3-030-98785-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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