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research-article

Unveiling the 5G Mid-Band Landscape: From Network Deployment to Performance and Application QoE

Authors:

Rostand A. K. Fezeu,

Claudio Fiandrino,

Jason Carpenter,

Lilian Coelho de Freitas,

Zhi-Li ZhangAuthors Info & Claims

ACM SIGCOMM '24: Proceedings of the ACM SIGCOMM 2024 Conference

Pages 358 - 372

https://doi.org/10.1145/3651890.3672269

Published: 04 August 2024 Publication History

Abstract

5G in mid-bands has become the dominant deployment of choice in the world. We present - to the best of our knowledge - the first comprehensive and comparative cross-country measurement study of commercial mid-band 5G deployments in Europe and the U.S., filling a gap in the existing 5G measurement studies. We unveil the key 5G mid-band channels and configuration parameters used by various operators in these countries, and identify the major factors that impact the observed 5G performance both from the network (physical layer) perspective as well as the application perspective. We characterize and compare 5G mid-band throughput and latency performance by dissecting the 5G configurations, lower-layer parameters as well as deployment settings. By cross-correlating 5G parameters with the application decision process, we demonstrate how 5G parameters affect application QoE metrics and suggest a simple approach for QoE enhancement. Our study sheds light on how to better configure and optimize 5G mid-band networks, and provides guidance to users and application developers on operator choices and application QoE tuning. We released the datasets and artifacts at https://github.com/SIGCOMM24-5GinMidBands/artifacts.

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Cited By

Permal SChen YKhooi XQiu BChan MKousias KQian F(2024)Towards Continuous Latency Monitoring through Open RAN InterfacesProceedings of the 4th ACM Workshop on 5G and Beyond Network Measurements, Modeling, and Use Cases10.1145/3694810.3700159(14-20)Online publication date: 9-Dec-2024
https://doi.org/10.1145/3694810.3700159
Ye WHu XSleder SZhang ADayalan UHassan AFezeu RJajoo ALee MRamadan EQian FZhang ZSekar VYu MSeneviratne AVeitch D(2024)Dissecting Carrier Aggregation in 5G Networks: Measurement, QoE Implications and PredictionProceedings of the ACM SIGCOMM 2024 Conference10.1145/3651890.3672250(340-357)Online publication date: 4-Aug-2024
https://dl.acm.org/doi/10.1145/3651890.3672250

Index Terms

Unveiling the 5G Mid-Band Landscape: From Network Deployment to Performance and Application QoE
1. Networks
  1. Network performance evaluation
    1. Network measurement
    2. Network performance analysis
  2. Network types
    1. Mobile networks
    2. Wired access networks

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cover image ACM Conferences

ACM SIGCOMM '24: Proceedings of the ACM SIGCOMM 2024 Conference

August 2024

1033 pages

ISBN:9798400706141

DOI:10.1145/3651890

Co-chairs:
Aruna Seneviratne,
Darryl Veitch,
Program Co-chairs:
Vyas Sekar,
Minlan Yu

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Published: 04 August 2024

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Cited By

Permal SChen YKhooi XQiu BChan MKousias KQian F(2024)Towards Continuous Latency Monitoring through Open RAN InterfacesProceedings of the 4th ACM Workshop on 5G and Beyond Network Measurements, Modeling, and Use Cases10.1145/3694810.3700159(14-20)Online publication date: 9-Dec-2024
https://doi.org/10.1145/3694810.3700159
Ye WHu XSleder SZhang ADayalan UHassan AFezeu RJajoo ALee MRamadan EQian FZhang ZSekar VYu MSeneviratne AVeitch D(2024)Dissecting Carrier Aggregation in 5G Networks: Measurement, QoE Implications and PredictionProceedings of the ACM SIGCOMM 2024 Conference10.1145/3651890.3672250(340-357)Online publication date: 4-Aug-2024
https://dl.acm.org/doi/10.1145/3651890.3672250

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