Abstract
Recent measurement studies show that commercial mmWave 5G can indeed offer ultra-high bandwidth (up to 2 Gbps), capable of supporting bandwidth-intensive applications such as ultra-HD (UHD) 4K/8K and volumetric video streaming on mobile devices. However, mmWave 5G also exhibits highly variable throughput performance and incurs frequent handoffs (e.g., between 5G and 4G), due to its directional nature, signal blockage and other environmental factors, especially when the device is mobile. All these issues make it difficult for applications to achieve high Quality of Experience (QoE). In this paper, we advance several new mechanisms to tackle the challenges facing UHD video streaming applications over 5G networks, thereby making them 5G-aware. We argue for the need to employ machine learning (ML) for effective throughput prediction to aid applications in intelligent bitrate adaptation. Furthermore, we advocate adaptive content bursting}, and dynamic radio (band) switching to allow the 5G radio network to fully utilize the available radio resources under good channel/beam conditions, whereas dynamically switched radio channels/bands (e.g., from 5G high-band to low-band, or 5G to 4G) to maintain session connectivity and ensure a minimal bitrate. We conduct initial evaluation using real-world 5G throughput measurement traces. Our results show these mechanisms can help minimize, if not completely eliminate, video stalls, despite wildly varying 5G throughput.
Original language | English (US) |
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Title of host publication | 5G-MeMU 2021 - Proceedings of the 2021 Workshop on 5G Measurements, Modeling, and Use Cases, Part of SIGCOMM 2021 |
Publisher | Association for Computing Machinery, Inc |
Pages | 27-34 |
Number of pages | 8 |
ISBN (Electronic) | 9781450386364 |
DOIs | |
State | Published - Aug 23 2021 |
Event | 2021 Workshop on 5G Measurements, Modeling, and Use Cases, 5G-MeMU 2021, co-located with ACM SIGCOMM 2021 - Virtual, Online, United States Duration: Aug 23 2021 → … |
Publication series
Name | 5G-MeMU 2021 - Proceedings of the 2021 Workshop on 5G Measurements, Modeling, and Use Cases, Part of SIGCOMM 2021 |
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Conference
Conference | 2021 Workshop on 5G Measurements, Modeling, and Use Cases, 5G-MeMU 2021, co-located with ACM SIGCOMM 2021 |
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Country/Territory | United States |
City | Virtual, Online |
Period | 8/23/21 → … |
Bibliographical note
Funding Information:We thank our shepherd Özgü Alay and the anonymous reviewers for their insightful suggestions and feedback. This research was in part supported by NSF under Grants CNS-1903880, CNS-1915122, CNS-1618339, CNS-1617729, CNS-1814322, CNS-1831140, CNS-1836772, and CNS-1901103.
Publisher Copyright:
© 2021 ACM.
Keywords
- 5G
- 5G throughput
- 5G-aware applications
- adaptive content bursting
- dynamic radio (band) switching
- mmWave
- volumetric video streaming