Tobias Sundqvist

According to our database, Tobias Sundqvist authored at least 6 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Robust Procedural Learning for Anomaly Detection and Observability in 5G RAN.

Tobias Sundqvist, Monowar H. Bhuyan, Erik Elmroth

IEEE Trans. Netw. Serv. Manag., April, 2024

2023

Machine learning-based diagnostics and observability in mobile networks

Tobias Sundqvist

PhD thesis, 2023

Bottleneck identification and failure prevention with procedural learning in 5G RAN.

Tobias Sundqvist, Monowar H. Bhuyan, Erik Elmroth

Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

2022

Uncovering latency anomalies in 5G RAN - A combination learner approach.

Tobias Sundqvist, Monowar H. Bhuyan, Erik Elmroth

Proceedings of the 14th International Conference on COMmunication Systems & NETworkS, 2022

Unsupervised root-cause identification of software bugs in 5G RAN.

Tobias Sundqvist, Monowar H. Bhuyan, Erik Elmroth

Proceedings of the 19th IEEE Annual Consumer Communications & Networking Conference, 2022

2020

Boosted Ensemble Learning for Anomaly Detection in 5G RAN.

Tobias Sundqvist, Monowar H. Bhuyan, Johan Forsman, Erik Elmroth

Proceedings of the Artificial Intelligence Applications and Innovations, 2020