YUAN, Y. (2022). Machine Learning-Based Efficient Resource Scheduling for Future Wireless Communication Networks [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/51076 |
YUAN, Y., LEI, L., VU, T. X., CHATZINOTAS, S., Sun, S., & OTTERSTEN, B. (2021). Energy Minimization in UAV-Aided Networks: Actor-Critic Learning for Constrained Scheduling Optimization. IEEE Transactions on Vehicular Technology. doi:10.1109/TVT.2021.3075860 Peer Reviewed verified by ORBi |
YUAN, Y., LEI, L., VU, T. X., CHATZINOTAS, S., Sun, S., & OTTERSTEN, B. (2021). Actor‑critic learning‑based energy optimization for UAV access and backhaul networks. EURASIP Journal on Wireless Communications and Networking. doi:10.1186/s13638-021-01960-0 Peer Reviewed verified by ORBi |
LEI, L., YUAN, Y., VU, T. X., CHATZINOTAS, S., MINARDI, M., & Montoya, J. F. (2021). Dynamic-Adaptive AI Solutions for Network Slicing Management in Satellite-Integrated B5G Systems. IEEE Network Magazine. doi:10.1109/MNET.111.2100206 Peer reviewed |
YUAN, Y., LEI, L., VU, T. X., CHATZINOTAS, S., & OTTERSTEN, B. (2020). Actor-Critic Deep Reinforcement Learning for Energy Minimization in UAV-Aided Networks. 2020 European Conference on Networks and Communications (EuCNC). doi:10.1109/EuCNC48522.2020.9200931 Peer reviewed |
LEI, L., LAGUNAS, E., YUAN, Y., KIBRIA, M., CHATZINOTAS, S., & OTTERSTEN, B. (2020). Beam Illumination Pattern Design in Satellite Networks: Learning and Optimization for Efficient Beam Hopping. IEEE Access. doi:10.1109/ACCESS.2020.3011746 Peer Reviewed verified by ORBi |
Yang, Y., YUAN, Y., Chatzimichailidis, A., Sloun, R. J. V., LEI, L., & CHATZINOTAS, S. (2020). ProxSGD: Training Structured Neural Networks under Regularization and Constraints. In International Conference on Learning Representations (ICLR) 2020. Peer reviewed |
LEI, L., YAXIONG, Y., VU, T. X., CHATZINOTAS, S., & OTTERSTEN, B. (2019). Learning-Based Resource Allocation: Efficient Content Delivery Enabled by Convolutional Neural Network. In IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) 2019. Peer reviewed |