| Machine learning based resource orchestration for 5G network slices N Salhab, R Rahim, R Langar, R Boutaba 2019 IEEE Global Communications Conference (GLOBECOM), 1-6, 2019 | 31 | 2019 |
| 5G network slices resource orchestration using Machine Learning techniques N Salhab, R Langar, R Rahim Computer Networks 188, 107829, 2021 | 23 | 2021 |
| Autonomous network slicing prototype using machine-learning-based forecasting for radio resources N Salhab, R Langar, R Rahim, S Cherrier, A Outtagarts IEEE Communications Magazine 59 (6), 73-79, 2021 | 18 | 2021 |
| NFV Orchestration Platform for 5G over On-the-fly provisioned Infrastructure N Salhab, R Rahim, R Langar IEEE INFOCOM 2019-IEEE Conference on Computer Communications Workshops …, 2019 | 13 | 2019 |
| Optimization of the implementation of network slicing in 5G RAN N Salhab, S El Falou, R Rahim, SE El Ayoubi, R Langar 2018 IEEE Middle East and North Africa Communications Conference (MENACOMM), 1-6, 2018 | 10 | 2018 |
| Optimization of virtualization cost, processing power and network load of 5G software-defined data centers N Salhab, R Rahim, R Langar IEEE Transactions on Network and Service Management 17 (3), 1542-1553, 2020 | 9 | 2020 |
| Throughput-aware RRHs clustering in cloud radio access networks N Salhab, R Rahim, R Langar 2018 Global Information Infrastructure and Networking Symposium (GIIS), 1-5, 2018 | 9 | 2018 |
| Offloading network data analytics function to the cloud with minimum cost and maximum utilization N Salhab, R Rahim, R Langar, R Boutaba ICC 2020-2020 IEEE International Conference on Communications (ICC), 1-6, 2020 | 5 | 2020 |
| 5grail paves the way to the future railway mobile communication system introduction V Nikolopoulou, D Mandoc, S Gogos Transportation Research Procedia 72, 2197-2204, 2023 | 4 | 2023 |
| Autonomous Anomaly detector for cloud-radio access network key performance indicators N Salhab, R Rahim, R Langar 2020 IFIP Networking Conference (Networking), 673-674, 2020 | 4 | 2020 |
| Deep neural networks approach for power head-room predictions in 5G networks and beyond N Salhab, R Rahim, R Langar, R Boutaba 2020 IFIP Networking Conference (Networking), 579-583, 2020 | 3 | 2020 |
| Experimental Trials for the Future Railway Mobile Communication System in 5GRail Project S Tardif, N Salhab, V Nikolopoulou, M Kloecker, B Holfeld, F Bazizi, ... 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring), 1-5, 2023 | 2 | 2023 |
| SQL Injection, Cross-site scripting and Buffer Overflow attacks detection using Machine Learning NB Ghannam, N Salhab, MA Rahman 2022 International Conference on Data Analytics for Business and Industry …, 2022 | 2 | 2022 |
| Train Antenna Requirements, Design and Integration for 5GRAIL Project N Salhab, A Haidar, JJ Muñoz, C Reboul 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring), 1-5, 2023 | 1 | 2023 |
| Heart disease Prediction using Machine Learning S Ibrahim, N Salhab, A El Falou 2023 1st International Conference on Advanced Innovations in Smart Cities …, 2023 | | 2023 |
| Towards Fake News Identification using Machine Learning Y Abdallah, N Salhab, A El Falou 2023 1st International Conference on Advanced Innovations in Smart Cities …, 2023 | | 2023 |
| Reconfigurable Intelligent Surfaces for Rich Scattering Wireless Communications: Recent Experiments, Challenges, and Opportunities N Salhab, R Langar, R Rahim, S Cherrier, A Outtagarts IEEE COMMUNICATIONS MAGAZINE 59 (6), 73-79, 2021 | | 2021 |
| Resource provisioning and dynamic optimization of Network Slices in an SDN/NFV environment N Salhab Paris Est, 2020 | | 2020 |
| Ack to Reviewers: Journal of Network and Systems Management, 2019 NS al. Journal of Network and Systems Management 27, 286-287, 2019 | | 2019 |
| NFV Orchestration Application for 5G over On-the-fly Provisioned Infrastructure N SALHAB, R RAHIM, R LANGAR | | |
Rami LangarProfessor, Ecole de Technologie Supérieure de MontréalVerified email at etsmtl.ca
