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

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Passive and Active Measurement (PAM 2023)
  • The original version of this chapter was revised: An error in the presentation of Jaideep Chandrashekar’s affiliation was corrected. The correction to this chapter is available at https://doi.org/10.1007/978-3-031-28486-1_28

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.

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Change history

  • 05 April 2023

    A correction has been published.

Notes

  1. 1.

    The one-hope (UE to gNB) target for URLLC “should be 0.5ms for UL, and 0.5ms for DL”.

  2. 2.

    Our definition of region in this paper is as per AWS, and it is a cluster of a minimum of 3 data centers.

  3. 3.

    The primary physical channel for the DL transmissions (base station to UE) is PDSCH (physical downlink shared channel), and for the UL transmissions (UE to base station) is PUSCH (physical uplink shared channel).

  4. 4.

    Assuming no spatial multiplexing, which is the case of VZW 5G mmWave. However, with spatial multiplexing, at most 2 Transport Blocks can be transmitted per \(slot\).

  5. 5.

    This data schematics corresponds to the DCI as shown in Fig. 2.

  6. 6.

    Defined as the area between two 5G towers A and B where HO occurs from tower A to B or vice versa.

References

  1. 5G NR: Connected Mode DRX. https://howltestuffworks.blogspot.com/2021/04/5g-nr-connected-mode-drx.html. Accessed Nov 2022

  2. Amazon web services (aws). https://aws.amazon.com/

  3. 5G; study on scenarios and requirements for next generation access technologies (3gpp tr 38.913 version 14.3.0 release 14) (2017). https://www.etsi.org/deliver/etsi_tr/138900_138999/138913/15.00.00_60/tr_138913v150000p.pdf

  4. https://www.gsma.com/futurenetworks/wiki/cloud-ar-vr-whitepaper/ (2019)

  5. 5G SA vs 5G NSA: What are the differences? https://www.alepo.com/5g-sa-vs-5g-nsa-what-are-the-differences/ (2022). Accessed Nov 2022

  6. Accuver XCAL. https://www.accuver.com/sub/products/view.php?idx=6 &ckattempt=2 (2022). Accessed Nov 2022

  7. AWS Wavelength. https://aws.amazon.com/wavelength/ (2022). Accessed Nov 2022

  8. Samsung galaxy S21 5G featuring a Qualcomm snapdragon 888 5G mobile platform. https://www.qualcomm.com/snapdragon/device-finder/samsung-galaxy-s21-5g (2022). Accessed Nov 2022

  9. Speedtest by Ookla. https://www.speedtest.net/ (2022). Accessed Nov 2022

  10. T-Mobile hits 3 Gbps 5G speeds without mmWave in world record production test. https://9to5mac.com/2022/06/14/t-mobile-3-gbps-5g-speeds/ (2022). Accessed Nov 2022

  11. 3GPP: 5G; NR; Multiplexing and channel coding (3GPP TS 38.212 version 15.2.0 Release 15) (2018). https://www.etsi.org/deliver/etsi_ts/138200_138299/138212/15.02.00_60/ts_138212v150200p.pdf. Accessed Nov 2022

  12. 3GPP: 5G; NR; Requirements for support of radio resource management (3GPP TS 38.133 version 15.3.0 Release 15) (2018). https://www.etsi.org/deliver/etsi_ts/138100_138199/138133/15.03.00_60/ts_138133v150300p.pdf. Accessed Nov 2022

  13. 3GPP: 5G NR: Medium Access Control (MAC) protocol specification (3GPP TS 38.321 version 15.5.0 Release 15) (2019–05). https://www.etsi.org/deliver/etsi_ts/138300_138399/138321/15.05.00_60/ts_138321v150500p.pdf. Accessed Nov 2022

  14. 3GPP: 5G; NR; Physical layer procedures for data (3GPP TS 38.214 version 16.2.0 Release 16). https://www.etsi.org/deliver/etsi_ts/138200_138299/138214/16.02.00_60/ts_138214v160200p.pdf (2020). Accessed Nov 2022

  15. 3GPP: 5G; NR; Radio Resource Control (RRC); Protocol specification (3GPP TS 38.331 version 16.2.0 Release 16) (2020). https://www.etsi.org/deliver/etsi_ts/138300_138399/138331/16.02.00_60/ts_138331v160200p.pdf. Accessed Nov 2022

  16. 3GPP: 5G; NR; Radio Link Control (RLC) protocol specification (3GPP TS 38.322 version 16.2.0 Release 16) (2021). https://www.etsi.org/deliver/etsi_ts/138300_138399/138322/16.02.00_60/ts_138322v160200p.pdf. Accessed Nov 2022

  17. Admin, G.: News & events (2017). https://www.3gpp.org/news-events/3gpp-news/sa1-5g

  18. Ahmed, I., et al.: A survey on hybrid beamforming techniques in 5G: Architecture and system model perspectives. IEEE Commun. Surv. Tutorials 20(4), 3060–3097 (2018)

    Article  Google Scholar 

  19. Corneo, L., Eder, M., Mohan, N., Zavodovski, A., BayhanZ, S.: Surrounded by the clouds. In: The Web Conference (2021)

    Google Scholar 

  20. Dinh, P., Ghoshal, M., Koutsonikolas, D., Widmer, J.: Demystifying resource allocation policies in operational 5G mmwave networks. In: 2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), pp. 1–10 (2022). https://doi.org/10.1109/WoWMoM54355.2022.00016

  21. Fang, Z., Wang, G., Xie, X., Zhang, F., Zhang, D.: Urban map inference by pervasive vehicular sensing systems with complementary mobility. Proceed. ACM Inter. Mobile Wearable Ubiquit. Technol. 5(1), 1–24 (2021)

    Article  Google Scholar 

  22. Fiandrino, C., Juárez Martínez-Villanueva, D., Widmer, J.: Uncovering 5G performance on public transit systems with an app-based measurement study. In: Proceedings of the 25th International ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems, pp. 65–73 (2022)

    Google Scholar 

  23. Ghoshal, M., et al.: An in-depth study of uplink performance of 5g mmWave networks, pp. 29–35. 5G-MeMU 2022, Association for Computing Machinery, New York, NY, USA (2022). https://doi.org/10.1145/3538394.3546042

  24. Hassan, A., et al.: Vivisecting mobility management in 5G cellular networks. In: Proceedings of the ACM SIGCOMM 2022 Conference, pp. 86–100. SIGCOMM 2022, Association for Computing Machinery, New York, NY, USA (2022). https://doi.org/10.1145/3544216.3544217

  25. Hassan, A., et al.: Vivisecting mobility management in 5G cellular networks. In: Proceedings of the ACM SIGCOMM 2022 Conference. pp. 86–100. SIGCOMM 2022, Association for Computing Machinery, New York, NY, USA (2022). https://doi.org/10.1145/3544216.3544217

  26. Li, Y., et al.: Experience: a five-year retrospective of mobileInsight. In: Proceedings of the 27th Annual International Conference on Mobile Computing and Networking, pp. 28–41 (2021)

    Google Scholar 

  27. McLaughlin, R.: 5G low latency requirements (2021). https://broadbandlibrary.com/5g-low-latency-requirements/

  28. Mohan, N., Corneo, L., Zavodovski, A., Bayhan, S., Wong, W., Kangasharju, J.: Pruning edge research with latency shears. In: Proceedings of the 19th ACM Workshop on Hot Topics in Networks, pp. 182–189 (2020)

    Google Scholar 

  29. Narayanan, A., et al.: A first look at commercial 5G performance on smartphones. In: Proceedings of The Web Conference 2020, pp. 894–905 (2020)

    Google Scholar 

  30. Narayanan, A., et al.: Lumos5G: mapping and predicting commercial mmWave 5G throughput. In: Proceedings of the ACM Internet Measurement Conference, pp. 176–193. IMC 2020, Association for Computing Machinery, New York, NY, USA (2020). https://doi.org/10.1145/3419394.3423629

  31. Narayanan, A., Ramadan, E., Quant, J., Ji, P., Qian, F., Zhang, Z.L.: 5G tracker: a crowdsourced platform to enable research using commercial 5G services. In: Proceedings of the SIGCOMM2020 Poster and Demo Sessions, pp. 65–67 (2020)

    Google Scholar 

  32. Narayanan, A., et al.: A comparative measurement study of commercial 5G mmWave deployments. In: IEEE INFOCOM 2022 - IEEE Conference on Computer Communications, pp. 800–809 (2022). https://doi.org/10.1109/INFOCOM48880.2022.9796693

  33. Narayanan, A., et al.: A variegated look at 5g in the wild: performance, power, and qoe implications. In: Proceedings of the 2021 ACM SIGCOMM 2021 Conference, pp. 610–625. SIGCOMM 2021, Association for Computing Machinery, New York, NY, USA (2021). https://doi.org/10.1145/3452296.3472923

  34. Pan, Y., Li, R., Xu, C.: The first 5G-LTE comparative study in extreme mobility. Proceed. ACM Measure. Anal. Comput. Systems 6(1), 1–22 (2022)

    Article  Google Scholar 

  35. Ramadan, E., Narayanan, A., Dayalan, U.K., Fezeu, R.A., Qian, F., Zhang, Z.L.: Case for 5G-aware video streaming applications. In: Proceedings of the 1st Workshop on 5G Measurements, Modeling, and Use Cases, pp. 27–34 (2021)

    Google Scholar 

  36. Rischke, J., Sossalla, P., Itting, S., Fitzek, F.H., Reisslein, M.: 5G campus networks: a first measurement study. IEEE Access 9, 121786–121803 (2021)

    Article  Google Scholar 

  37. Rochman, M.I., et al.: A comparison study of cellular deployments in Chicago and Miami using apps on smartphones. In: Proceedings of the 15th ACM Workshop on Wireless Network Testbeds, Experimental evaluation & CHaracterization, pp. 61–68 (2022)

    Google Scholar 

  38. Roh, W., et al.: Millimeter-wave beamforming as an enabling technology for 5G cellular communications: theoretical feasibility and prototype results. IEEE Commun. Mag. 52(2), 106–113 (2014)

    Article  Google Scholar 

  39. Shepard, C., Blum, J., Guerra, R.E., Doost-Mohammady, R., Zhong, L.: Design and implementation of scalable massive-Mimo networks. In: Proceedings of the 1st International Workshop on Open Software Defined Wireless Networks, pp. 7–13 (2020)

    Google Scholar 

  40. Singh, V., Mondal, S., Gadre, A., Srivastava, M., Paramesh, J., Kumar, S.: Millimeter-wave full duplex radios. In: Proceedings of the 26th Annual International Conference on Mobile Computing and Networking, pp. 1–14 (2020)

    Google Scholar 

  41. Solomitckii, D., Orsino, A., Andreev, S., Koucheryavy, Y., Valkama, M.: Characterization of mmWave channel properties at 28 and 60 GHZ in factory automation deployments. In: 2018 IEEE Wireless Communications and Networking Conference (WCNC), pp. 1–6. IEEE (2018)

    Google Scholar 

  42. Sur, S., Pefkianakis, I., Zhang, X., Kim, K.H.: Towards scalable and ubiquitous millimeter-wave wireless networks. In: Proceedings of the 24th Annual International Conference on Mobile Computing and Networking, pp. 257–271 (2018)

    Google Scholar 

  43. Sur, S., Venkateswaran, V., Zhang, X., Ramanathan, P.: 60 GHZ indoor networking through flexible beams: a link-level profiling. In: Proceedings of the 2015 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, pp. 71–84 (2015)

    Google Scholar 

  44. Xu, D., et al.: Understanding operational 5G: a first measurement study on its coverage, performance and energy consumption. In: Proceedings of the Annual Conference of the ACM Special Interest Group on Data Communication on the Applications, Technologies, Architectures, and Protocols for Computer Communication, pp. 479–494 (2020)

    Google Scholar 

  45. Xu, M., et al.: From cloud to edge: a first look at public edge platforms, pp. 37–53. IMC 2021, Association for Computing Machinery, New York, NY, USA (2021). https://doi.org/10.1145/3487552.3487815. https://doi-org.ezp1.lib.umn.edu/10.1145/3487552.3487815

  46. Zhao, R., Woodford, T., Wei, T., Qian, K., Zhang, X.: M-cube: a millimeter-wave massive mimo software radio. In: Proceedings of the 26th Annual International Conference on Mobile Computing and Networking, pp. 1–14 (2020)

    Google Scholar 

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Acknowledgements

This research was supported in part by NSF under Grants CNS-1901103, CNS-1915122, CNS-2038559, CNS-21544078, CNS-2128489, CNS-2220286, CCF-2212318 and CNS-2220292 as well as a Cisco Research Award and an InterDigital gift.

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Fezeu, R.A.K. et al. (2023). An In-Depth Measurement Analysis of 5G mmWave PHY Latency and Its Impact on End-to-End Delay. In: Brunstrom, A., Flores, M., Fiore, M. (eds) Passive and Active Measurement. PAM 2023. Lecture Notes in Computer Science, vol 13882. Springer, Cham. https://doi.org/10.1007/978-3-031-28486-1_13

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  • DOI: https://doi.org/10.1007/978-3-031-28486-1_13

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