Abstract
The mining industry is deploying private 5G networks in harsh underground environments due to foreseeable benefits of the advanced technology. Safe operation with autonomous and remotely controlled machines set strict requirements for the communication quality of service (QoS) and application adaptivity. Live video streaming is essential for remote operations of the mining vehicles and video adaptation is needed not only against network uplink throughput fluctuations, but also to guarantee prioritized network traffic. This paper presents our adaptive video streaming implementation, which is able to adjust to the prevailing uplink network conditions near real-time based on the gathered network QoS information. The paper also shows the extensive set of verification tests in an underground test environment using a moving vehicle and a private 5G standalone network. The results from these field tests showcase the clear advantage of using video adaptation based on network QoS for reducing the uplink delay peaks in video streaming.
Original language | English |
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Title of host publication | 2024 Joint European Conference on Networks and Communications and 6G Summit, EuCNC/6G Summit 2024 |
Publisher | IEEE Institute of Electrical and Electronic Engineers |
Pages | 991-996 |
ISBN (Electronic) | 979-8-3503-4499-8 |
ISBN (Print) | 979-8-3503-4500-1 |
DOIs | |
Publication status | Published - 2024 |
MoE publication type | A4 Article in a conference publication |
Event | Joint European Conference on Networks and Communications and 6G Summit, EuCNC/6G Summit 2024 - Antwerp, Belgium Duration: 3 Jun 2024 → 6 Jun 2024 |
Publication series
Series | European Conference on Networks and Communications |
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Volume | 2024 |
ISSN | 2475-6490 |
Conference
Conference | Joint European Conference on Networks and Communications and 6G Summit, EuCNC/6G Summit 2024 |
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Country/Territory | Belgium |
City | Antwerp |
Period | 3/06/24 → 6/06/24 |
Funding
This work was supported by Business Finland and the consortium partners of the Next Generation Mining and the QoS for Heavy Machine communications projects. The authors would like to thank Kimmo Ahola, Lotta Tuomim\u00E4ki, Andrea Gentili, and Matti Laukkanen for supporting this work regarding network configuration, data analysis, and positioning.
Keywords
- 5G
- adaptation
- field tests
- mobile networks
- QoS
- video streaming