Description in English
The goal of the project is to develop an AI-driven process automation system that will greatly simplify processes in mobile networks, resulting in significant cost and time savings compared to current approaches. Using AI solutions such as genetic programming and reward infrastructure, the system will continuously optimise the use of available resources, reduce process complexity and increase efficiency, leading to cost savings and improved customer service. The project will build on existing AI and automation solutions while taking into account the specific needs and requirements of the telecommunications industry. In addition, the project will focus on finding new AI-based process automation methodologies that can contribute to the development of advanced automation solutions.

Key words in English
Artificial Intelligence, Telecommunication processes, OSS, 5G, 6G, SDN

FW10010014

Czech

Hošek Jiří, doc. Ing., Ph.D. - principal person responsible
Burget Radim, doc. Ing., Ph.D. - fellow researcher
Matoušek Petr, doc. Ing., Ph.D., M.A. - fellow researcher
Smrž Pavel, doc. RNDr., Ph.D. - fellow researcher

Department of Telecommunications
- responsible department (23.5.2023 - not assigned)
Department of Information Systems
- co-beneficiary (1.1.2024 - 30.6.2026)
Department of Telecommunications
- beneficiary (1.1.2024 - 30.6.2026)

KOLÁČKOVÁ, A.; PHAN, V.; YOUNESIAN, E.; HOŠEK, J.; JEŘÁBEK, J.; KHATIB, N. Enhancing Energy Efficiency in BBUs: Predictive Analysis with Long-Term and Granular Data. The 9th International Conference on Advanced Engineering - Theory and Applications, 2024.
Detail

LE, T. D.; ŠTŮSEK, M.; PALUŘÍK, P.; MAŠEK, P.; MOLTCHANOV, D.; HOŠEK, J. Interpolation-Based Densification of Sparse Measurement Datasets for 5G+ Systems. In 2024 47th International Conference on Telecommunications and Signal Processing (TSP). Online: Institute of Electrical and Electronics Engineers Inc., 2024. p. 264-269. ISBN: 979-8-3503-6559-7.
Detail

PALUŘÍK, P.; DVOŘÁK, R.; MOŽNÝ, R.; MAŠEK, P.; ŠTŮSEK, M.; MOLTCHANOV, D.; ČÍKA, P.; HOŠEK, J. Making 5G-IoT Development Platform for mMTC: Lessons Learned from Industrial Implementations. In 2024 47th International Conference on Telecommunications and Signal Processing (TSP). Online: 2024. p. 340-346. ISBN: 979-8-3503-6559-7.
Detail

KOLÁČKOVÁ, A.; SEVGICAN, S.; ULU, M.; SADREDDIN, J.; MAŠEK, P.; HOŠEK, J.; JEŘÁBEK, J.; TUGCU, T. Exploring Potential of ML-aided Mobile Traffic Prediction for Energy-efficient Optimization of Network Resources Using Real World Dataset. IEEE Access, 2024, vol. 12, no. 1, p. 93606-93622. ISSN: 2169-3536.
Detail

Responsibility: Hošek Jiří, doc. Ing., Ph.D.