Forskningsoutput per år
Forskningsoutput per år
Projektinformation
Beskrivning
The aim of IMMINENCE is to develop intelligent network management and control functions techniques, such as self-configuration networks, application aware networks, Artificial Intelligence (AI) mechanisms for autonomous and adaptive management of the future mobile networks as well as intelligent business analytics capabilities. For this purpose, we will define specific use cases and scenarios, such as Autonomous Mobile Network Management and Moving Vehicle Scenario; Smart Mobile Network (5G and beyond); Network Management, Alarm and Monitoring based on business analytics in new telco scenarios, such as TowerCos.
| Akronym | Celtic Next IMMINENCE |
|---|---|
| Status | Pågående |
| Gällande start-/slutdatum | 2021/07/15 → 2023/03/31 |
Samarbetspartner
- Lunds universitet
- RISE Acreo AB
- RISE SICS AB
- Ericsson Research (huvudsaklig)
- Volvo Construction Equipment AB
- Epiroc AB
- Alkit Communications AB
Finansiering
- Swedish Government Agency for Innovation Systems (Vinnova)
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Detection and mitigation of deception attacks on cloud-based industrial control systems
Akbarian, F., Tärneberg, W., Fitzgerald, E. & Kihl, M., 2022, 25th Conference on Innovation in Clouds, Internet and Networks (ICIN). IEEE - Institute of Electrical and Electronics Engineers Inc.Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Konferenspaper i proceeding › Peer review
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Evaluation of Control over the Edge of a Configurable Mid-band 5G Base Station
Peng, H., Tarneberg, W., Fitzgerald, E., Tufvesson, F. & Kihl, M., 2022, Proceedings - 6th IEEE International Conference on Fog and Edge Computing, ICFEC 2022. Mashayekhy, L., Schulte, S., Cardellini, V., Kantarci, B., Simmhan, Y. & Varghese, B. (red.). IEEE - Institute of Electrical and Electronics Engineers Inc., s. 83-87 5 s. (Proceedings - 6th IEEE International Conference on Fog and Edge Computing, ICFEC 2022).Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Konferenspaper i proceeding › Peer review
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Intelligent multi-agent reinforcement learning model for resources allocation in cloud computing
Belgacem, A., Mahmoudi, S. & Kihl, M., 2022, I: Journal of King Saud University - Computer and Information Sciences. 34, 6 , s. 2391-2404Forskningsoutput: Tidskriftsbidrag › Artikel i vetenskaplig tidskrift › Peer review
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