SDR LAB

A Software Defined Radio Lab

Invited Talks

  • R. Langar, "Machine Learning based resource management in 5G networks", Federal University of Rio de Janeiro (UFRJ), Brazil, GTA research group, Jun. 26th 2020 (remote).
  • R. Langar, "Machine Learning based resource orchestration and Optimal functional split for 5G network slices", Labex Bezout, University Gustave Eiffel, Jan. 10th 2020.
  • N. Salhab, R. Rahim, and R. Langar, "Autonomous Anomaly Detector for Cloud-Radio Access Network on Microservice-based Prototype", (ANR MAESTRO-5G project, 2020), Centrale-Supelec, 3 Rue Joliot-Curie, 91192 Gif-sur-Yvette, France , 2020.
  • R. Langar, "Dynamic Resource Allocation and Network Functional Splitting in 5G Cloud-RANs", Univ. Waterloo, ON, Canada, June 20th 2018.
  • S. Costanzo, "On-demand Functional Split for a Flexible Cloud Radio Access Network", at Journée DGA -INRIA "IA 2018, réseaux et télécoms", Paris, France, May, 31st 2018.
  • R. Langar, "Dynamic Resource Allocation and Network Functional Splitting in 5G Cloud-RANs", at Nanyang Technological University (NTU) Singapore, Dec., 7th 2017.
  • R. Langar, "Dynamic Resource Allocation and Network Optimization in Cloud-RANs", at 6th IFIP PEMWN'17 conference, Paris, France, Nov., 28th 2017.
  • R. Langar, "Self-Organizing Networks: Distributed-RANs vs. Cloud-RANs" at Network of the Future conference (NOF'16), Buzios, Rio de Janeiro, Brazil, Nov., 18th 2016.
  • M. Yazid Lyazidi, "Real-time resource management and energy efficient issues in C-RAN", UFMG, Belo Horizonte, Brazil, Dec., 3rd 2015.

Publications

Journals

  • S. Matoussi, I. Fajjari, N. Aitsaadi, and R. Langar, "User-centric Slice Allocation Scheme in 5G Networks and Beyond", IEEE Transactions on Network and Service Management, in press (accepted in May 2023).
  • A. Boualouache, S. Sennouci, B. Brik, S. Hossain, Q. Tang, A. Korba, R. Langar, S. Cherrier, B. Bousalem, V. F. Silva, Y. Ghamri-Doudane, and T. Engel, "Sécurité des communications 5G véhiculaires (5G-V2X) dans un contexte transfrontalier", REE Magazine, no. 2, Jun. 2023.
  • A. Boualouache, B. Brik, Q. Tang, A. Korba, S. Cherrier, S. Senouci, E. Pardo, Y. Ghamri-Doudane, R. Langar, and T. Engel, "5G Vehicle-to-Everything at the Cross-Borders: Security Challenges and Opportunities", IEEE Internet of Things Magazine, vol. 6, no. 1, pp. 114-119, Mar. 2023.
  • N. Salhab, R. Langar, R. Rahim, S. Cherrier, and A. Outtagarts, "5G Autonomous Network Slicing Prototype Using Machine Learning Based Forecasting for Radio Resources", IEEE Communications Magazine, Network Softwarization and Management Series, vol. 59, no. 6, pp. 73-79, Jun. 2021.
  • N. Salhab, R. Langar, and R. Rahim, "5G Network Slices Resource Orchestration using Machine-Learning Techniques", ELSEVIER Computer Networks, vol. 188, Apr. 2021.
  • N. Salhab, R. Rahim, R. Langar, "Optimization of Virtualization Cost, Processing Power and Network Load of 5G Software-Defined Data Centers", IEEE Transactions on Network and Service Management, DOI: 10.1109/TNSM.2020.2990664, Accepted: Apr. 2020.
  • S. Matoussi, I. Fajjari, S. Costanzo, N. Aitsaadi, and R. Langar, "5G-RAN: Functional Split Orchestration Optimization", IEEE Journal of Selected Areas in Communications (JSAC), Accepted: Jan. 2020.
  • Y. Lyazidi, N. Aitsaadi, and R. Langar, "A dynamic resource allocation framework in LTE downlink for Cloud-Radio Access Networks", ELSEVIER Computer Networks, vol. 140, pp. 101-111, Jul. 2018.

Conferences

  • B. Bousalem, V. F. Silva, A. Boualouache, R. Langar, and S. Cherrier, "Deep Learning-based Smart Radio Jamming Attacks Detection on 5G V2I/V2N Communications", IEEE GLOBECOM 2023, Kuala-Lumpur, Malaysia, Dec. 2023.
  • R. Bekkouche, M. Omar, and R. Langar, "Securing 5G Network Slices with Adaptive Machine Learning Models as-a-Service: A Novel Approach", IEEE GLOBECOM 2023, Kuala-Lumpur, Malaysia, Dec. 2023.
  • B. Bousalem, V. F. Silva, R. Langar, and S. Cherrier, "DDoS Attacks Detection and Mitigation in 5G and Beyond Mobile Networks: A Deep Learning-based Approach", IEEE GLOBECOM 2022, Rio-de-Janeiro, Brazil, Dec. 2022.
  • B. Bousalem, V. F. Silva, R. Langar, and S. Cherrier, "Deep Learning-based Approach for DDoS At- tacks Detection and Mitigation in 5G and Beyond Mobile Networks", IEEE NetSoft 2022, Milan, Italy, 28 Jun. - 01 Jul. 2022 (Best Demo Paper Award).
  • R. Bekkouche, M. Omar, R. Langar, and B. Hamdaoui, "Ultra-Lightweight and Secure Intrusion Detection System for Massive-IoT Networks", IEEE ICC 2022, Seoul, South Korea, May 2022.
  • S. Matoussi, I. Fajjari, N. Aitsaadi, and R. Langar, "Deep Learning Based User Slice Allocation in 5G Radio Access Networks", IEEE LCN 2020, Sydney, Australia, Nov. 2020.
  • N. Salhab, R. Rahim, R. Langar "Autonomous Anomaly Detector for Cloud-Radio Access Network Key Performance Indicators", IEEE International Federation for Information Processing - Networking, 2020 Conference (IFIP Networking 2020), Paris, France, 22 Jun. - 26 Jun. 2020.
  • N. Salhab, R. Rahim, R. Langar, R. Boutaba, "Deep Neural Networks approach for Power Head-Room Predictions in 5G Networks and Beyond", IEEE International Federation for Information Processing - Networking, 2020 Conference (IFIP Networking 2020) , Paris, France, 22 Jun. - 26 Jun. 2020.
  • N. Salhab, R. Rahim, R. Langar, R. Boutaba, "Offloading Network Data Analytics Function to the Cloud", IEEE International Conference on Communications (ICC-2020) , Dublin, Ireland, 07 Jun. - 11 Jun. 2020.
  • S. Matoussi, I. Fajjari, N. Aitsaadi, and R. Langar, "User Slicing Scheme with Functional Split Selection in 5G Cloud-RAN", IEEE WCNC 2020, Seoul, South Korea, Apr. 2020.
  • N. Salhab, R. Rahim, R. Langar, R. Boutaba, "Machine Learning based Resource Orchestration for 5G Network Slices", IEEE Global Communications Conference (GLOBECOM 2019) , Hawaii, United States, 09 Dec. - 13 Dec. 2019.
  • S. Matoussi, I. Fajjari, S. Costanzo, N. Aitsaadi and R. Langar, "Joint Functional Split and Resource Allocation in 5G Cloud-RAN", IEEE International Conference on Communications (ICC 2019) , Shanghai, China, 20-24 May 2019.
  • N. Salhab, R. Rahim, and R. Langar, "NFV Orchestration Application for 5G over On-the-fly Provisioned Infrastructure", IEEE International Conference on Computer Communications (INFOCOM 2019) , Paris, France, 29 Apr. - 2 May 2019.
  • S. Costanzo, S.Cherrier and R. Langar, "Network Slicing Orchestration of IoT-BeC3 applications and eMBB services in C-RAN", IEEE International Conference on Computer Communications (INFOCOM 2019) , Paris, France, 29 Apr. - 2 May 2019.
  • N. Salhab, R. Rahim, and R. Langar, "Throughput-Aware RRHs Clustering in Cloud Radio Access Networks", IEEE Global Information Infrastructure and Networking Symposium (GIIS 2018), Thessaloniki, Greece, 23-25 Oct. 2018.
  • S. Costanzo, I. Fajjari, N. Aitsaadi, and R. Langar, "Dynamic Network Slicing for 5G IoT and eMBB services: A New Design with Prototype and Implementation Results", IEEE Cloudification of the Internet of Things Conference (CIoT 2018), Paris, France, 2-4 Jul. 2018.
  • S. Matoussi, I. Fajjari, S. Costanzo, N. Aitsaadi and R. Langar, "A User Centric Virtual Network Function Orchestration for Agile 5G Cloud-RAN", IEEE International Conference on Communications (ICC 2018), Kansas City, MO, USA, 20-24 May 2018.
  • N. Salhab, S. Elfalou, S. Elayoubi, R. Rahim, and R. Langar, "Optimization of the Implementation of Network Slicing in 5G RAN", IEEE (MENACOMM 2018), Jounieh, Lebanon, Apr. 2018.
  • S. Costanzo, I. Fajjari, N. Aitsaadi and R. Langar, "A Network Slicing Prototype for a Flexible Cloud Radio Access Network", 15th IEEE Annual Consumer Communications Networking Conference (CCNC 2018), Las Vegas, NV, USA, 12-15 Jan. 2018.
  • S. Costanzo, I. Fajjari, N. Aitsaadi and R. Langar, "DEMO: SDN-based Network Slicing in C-RAN", 15th IEEE Annual Consumer Communications Networking Conference (CCNC 2018), Las Vegas, NV, USA, 12-15 Jan. 2018.
  • M. Y. Lyazidi, L. Guipponi, J. Mangues-Bafalluy, N.Aitsaadi and R. Langar, "A Novel Optimization Framework for C-RAN BBU Selection based on Resiliency and Price", IEEE Vehicular Technology Conference - (VTC Fall 2017), Toronto, Canada, September 24-27, 2017.
  • M. Y. Lyazidi, N. Aitsaadi, and R. Langar, "Resource Allocation and Admission Control in OFDMA-based Cloud-RAN", IEEE (Globecom 2016), Washington D.C., U.S., December 2016.
  • S. Matoussi, S.Costanzo, R. Langar, "Bringing SDN to C-RAN:  implementation challenges in 5G testbeds", poster in  (ONOS Build 2016), Paris, 2-4 November 2016.
  • S. Matoussi, S.Costanzo, R. Langar, "SDN-based virtual RAN", poster in (RESCOM 2016), Guidel-Plages en Bretagne, 13-17 June 2016.  
  • M. Y. Lyazidi, N. Aitsaadi, and R. Langar, "Dynamic Resource Allocation in Cloud-RAN with Real-Time RRH-BBU Assignment", IEEE International Conference on Communications (ICC 2016), Kuala Lumpur, Malaysia, May 2016.

Posters:

  • B. Bousalem, M. A. Sakka, V. F. Silva, W. Jaafar, A. Ben Letaifa, and R. Langar, "DDoS Attacks Mitigation in 5G-V2X Networks: A Reinforcement Learning-based Approach", IEEE/IFIP CNSM 2023, Niagara-Falls, ON, Canada, Oct. 2023.
  • N. Salhab, R. Rahim, and R. Langar, "Slicing Optimisé des Réseaux 5G pour l'Internet des Objets", (FUI SCORPION project, 2020), Nokia Bell Labs France, Paris-Saclay, 7 Route de Villejust, 91620 Nozay, France, 10 Sept. 2019
  • N. Salhab, R. Rahim, and R. Langar, "Machine-Learning based Resource Allocation for 5G Network Slices", Orchestration of 5G Networks and Beyond, Inclusive Radio Communications (IRACON 6th TS, 2019), Castelldefels, Spain, 07-11 Apr. 2019.
  • N. Salhab, R. Rahim, and R. Langar, "Resources Provisioning and dynamic Optimization of Network Slices in SDN/NFV Environment", Doctoral Forum, EDST Lebanese University, Hadath, Lebanon, Wed, September 19, 2018.