Network digital twin: Context, enabling technologies, and opportunities P Almasan, M Ferriol-Galmés, J Paillisse, J Suárez-Varela, D Perino, ... IEEE Communications Magazine 60 (11), 22-27, 2022 | 90 | 2022 |
Network function virtualization in dynamic networks: A stochastic perspective X Cheng, Y Wu, G Min, AY Zomaya IEEE Journal on Selected Areas in Communications 36 (10), 2218-2232, 2018 | 83 | 2018 |
Digital twin network: Opportunities and challenges P Almasan, M Ferriol-Galmés, J Paillisse, J Suárez-Varela, D Perino, ... arXiv preprint arXiv:2201.01144, 2022 | 67 | 2022 |
Graph neural networks for communication networks: Context, use cases and opportunities J Suárez-Varela, P Almasan, M Ferriol-Galmés, K Rusek, F Geyer, ... IEEE network 37 (3), 146-153, 2022 | 59 | 2022 |
Is machine learning ready for traffic engineering optimization? G Bernárdez, J Suárez-Varela, A López, B Wu, S Xiao, X Cheng, ... 2021 IEEE 29th International Conference on Network Protocols (ICNP), 1-11, 2021 | 48 | 2021 |
Safeguard network slicing in 5G: A learning augmented optimization approach X Cheng, Y Wu, G Min, AY Zomaya, X Fang IEEE Journal on Selected Areas in Communications 38 (7), 1600-1613, 2020 | 48 | 2020 |
RouteNet-Fermi: Network modeling with graph neural networks M Ferriol-Galmés, J Paillisse, J Suárez-Varela, K Rusek, S Xiao, X Shi, ... IEEE/ACM transactions on networking 31 (6), 3080-3095, 2023 | 41 | 2023 |
Building a digital twin for network optimization using graph neural networks M Ferriol-Galmés, J Suárez-Varela, J Paillissé, X Shi, S Xiao, X Cheng, ... Computer Networks 217, 109329, 2022 | 41 | 2022 |
Routenet-erlang: A graph neural network for network performance evaluation M Ferriol-Galmés, K Rusek, J Suárez-Varela, S Xiao, X Shi, X Cheng, ... IEEE INFOCOM 2022-IEEE Conference on Computer Communications, 2018-2027, 2022 | 38 | 2022 |
ENERO: Efficient real-time WAN routing optimization with Deep Reinforcement Learning P Almasan, S Xiao, X Cheng, X Shi, P Barlet-Ros, A Cabellos-Aparicio Computer Networks 214, 109166, 2022 | 15 | 2022 |
DeepBGP: A machine learning approach for BGP configuration synthesis M Bahnasy, F Li, S Xiao, X Cheng Proceedings of the Workshop on Network Meets AI & ML, 48-55, 2020 | 14 | 2020 |
Magnneto: A graph neural network-based multi-agent system for traffic engineering G Bernárdez, J Suárez-Varela, A López, X Shi, S Xiao, X Cheng, ... IEEE Transactions on Cognitive Communications and Networking 9 (2), 494-506, 2023 | 13 | 2023 |
Convergence analysis of discrete high-index saddle dynamics Y Luo, X Zheng, X Cheng, L Zhang SIAM Journal on Numerical Analysis 60 (5), 2731-2750, 2022 | 10 | 2022 |
Accelerating deep reinforcement learning for digital twin network optimization with evolutionary strategies C Güemes-Palau, P Almasan, S Xiao, X Cheng, X Shi, P Barlet-Ros, ... NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium, 1-5, 2022 | 9 | 2022 |
Dual-scheduler design for C/U-plane decoupled railway wireless networks L Yan, X Fang, Y Fang, X Cheng IEEE Transactions on Mobile Computing 16 (7), 1842-1855, 2016 | 7 | 2016 |
FlowDT: a flow-aware digital twin for computer networks M Ferriol-Galmés, X Cheng, X Shi, S Xiao, P Barlet-Ros, ... ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 6 | 2022 |
Performance-oriented digital twins for packet and optical networks J Paillisse, P Almasan, M Ferriol, P Barlet, A Cabellos, S Xiao, X Shi, ... draft, IETF, 1-31, 2022 | 5 | 2022 |
Enero: Efficient real-time routing optimization P Almasan, S Xiao, X Cheng, X Shi, P Barlet-Ros, A Cabellos-Aparicio arXiv preprint arXiv:2109.10883, 2021 | 5 | 2021 |
Leveraging Spatial and Temporal Correlations for Network Traffic Compression P Almasan, K Rusek, S Xiao, X Shi, X Cheng, A Cabellos-Aparicio, ... arXiv preprint arXiv:2301.08962, 2023 | 4 | 2023 |
IGNNITION: fast prototyping of graph neural networks for communication networks D Pujol-Perich, J Suárez-Varela, M Ferriol-Galmés, B Wu, S Xiao, ... Proceedings of the SIGCOMM'21 Poster and Demo Sessions, 71-73, 2021 | 3 | 2021 |