TY - GEN
T1 - Data-Driven Cellular Network Selector for Vehicle Teleoperations
AU - Gahtan, Barak
AU - Cohen, Reuven
AU - Bronstein, Alex M.
AU - Shapira, Eli
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Remote control of robotic systems, also known as teleoperation, is crucial for the development of autonomous vehicle (AV) technology. It allows a remote operator to view live video from AVs and, in some cases, to make real-Time decisions. The effectiveness of video-based teleoperation systems is heavily influenced by the quality of the cellular network and, in particular, its packet loss rate and latency. To optimize these parameters, an AV can be connected to multiple cellular networks and determine in real time over which cellular network each video packet will be transmitted. We present an algorithm, called Active Network Selector (ANS), which uses a time series machine learning approach for solving this problem. We compare ANS to a baseline non-learning algorithm, which is used today in commercial systems, and show that ANS performs much better, with respect to both packet loss and packet latency.
AB - Remote control of robotic systems, also known as teleoperation, is crucial for the development of autonomous vehicle (AV) technology. It allows a remote operator to view live video from AVs and, in some cases, to make real-Time decisions. The effectiveness of video-based teleoperation systems is heavily influenced by the quality of the cellular network and, in particular, its packet loss rate and latency. To optimize these parameters, an AV can be connected to multiple cellular networks and determine in real time over which cellular network each video packet will be transmitted. We present an algorithm, called Active Network Selector (ANS), which uses a time series machine learning approach for solving this problem. We compare ANS to a baseline non-learning algorithm, which is used today in commercial systems, and show that ANS performs much better, with respect to both packet loss and packet latency.
UR - http://www.scopus.com/inward/record.url?scp=85211948784&partnerID=8YFLogxK
U2 - 10.1109/NoF62948.2024.10741500
DO - 10.1109/NoF62948.2024.10741500
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AN - SCOPUS:85211948784
T3 - Proceedings of the 15th International Conference on Network of the Future, NoF 2024
SP - 63
EP - 71
BT - Proceedings of the 15th International Conference on Network of the Future, NoF 2024
A2 - Mahmoodi, Toktam
A2 - Munoz, Raul
A2 - Chemouil, Prosper
A2 - Troia, Sebastian
A2 - Nguyen, Thi-Mai-Trang
T2 - 15th International Conference on Network of the Future, NoF 2024
Y2 - 2 October 2024 through 4 October 2024
ER -