C-V2X

Our cities must find new ways to foster urban analytics, computing, and advanced wireless technologies to address the myriad of challenges in traffic safety, mobility, sustainability, and energy-efficiency. A number of trends in wireless technology are taking place, and notably the fifth generation (5G) wireless systems aiming at high reliability and low-latency communication. How to collect and analyze urban context information, and how to exploit Intelligent Transportation Systems (ITS) via vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications, hold the promise of making our future transportation system safer, efficient, and environmentally sustainable.

Within the SAFARI project, we are working on a diverse set of research problems, including:

• Resource allocation: How to allocate resources for V2V and V2I communication, autonomously or RSU-assisted?
• Ultra-reliable and low-latency communication: How to enable URLLC for V2X communication via a host of tools and techniques?
• AI-driven V2X: How to exploit AI at the edge-fog-cloud continuum for optimized V2X performance.
• Network Slicing: How to dynamically slice resources across vehicular applications?
• Dynamic Navigating maps: How to build and update navigation maps on the fly?
• Platooning: how to enable scalable and efficient vehicular platooning?

Keywords: Smart mobility, smart cities, 5G-vehicle-to-everything (V2X), ultra-reliability and low-latency communication (URLLC), AI.

Publications

Millimeterwave based V2V Communications

• C. Perfecto, J. Del Ser, M. Bennis, "Millimeter-Wave V2V Communications: Distributed Association and Beam Alignment,". IEEE Journal on Selected Areas in Communications 35(9): 2148-2162 (2017).

Resource allocation w/ URLLC + Slicing

• M. Ikram Ashraf, C. F. Liu, M. Bennis, W. Saad, C.S. Hong, “Dynamic resource allocation for optimized latency and reliability in vehicular networks”, IEEE Access 6, 2019.
• M. Khairy, S. Samarakoon, C.F. Liu, M. Bennis, W. Saad, "Ultra-Reliable Low-Latency Vehicular Networks: Taming the Age of Information Tail," in Proc. of the IEEE Globecom 2018.
• H. Khan, S. Samarakoon, M. Bennis, "Enhancing Video Streaming in Vehicular Networks via Resource Slicing," IEEE TVT SI on connected vehicles series, major revision, 2019.
• C-F. Liu and M. Bennis, "Ultra-Reliable and Low-Latency Vehicular Transmission: An Extreme Value Theory Approach," in IEEE Communications Letters, in press, 2018. https://arxiv.org/pdf/1804.06368
• H. Khan, P. Luoto, M. Bennis, M. Latva-aho, "On the Application of Network Slicing for 5G-V2X," in proc. of European Wireless, Catania, Italy, 2018. https://arxiv.org/pdf/1805.07829
• X. Chen, C. Wu, and M. Bennis, “An oblivious game-theoretic approach for wireless scheduling in V2V communications,” in Proc. IEEE GLOBECOM, Singapore, Dec. 2017.
• M. Ikram Ashraf, C.F. Liu, M. Bennis, W. Saad, "Towards low-latency and ultra-reliable vehicle-to-vehicle communication," EuCNC 2017: 1-5, Oulu.
• M. Ikram Ashraf, M. Bennis, C. Perfecto, W. Saad, "Dynamic Proximity-Aware Resource Allocation in Vehicle-to-Vehicle (V2V) Communications," GLOBECOM Workshops 2016: 1-6.

Distributed AI + URLLC

• M. K. Abdel-Aziz, S. Samarakoon, M. Bennis, and W. Saad, "Reliable and Low-Latency Communication in Vehicular Networks with Active Learning using Gaussian Process Regression," IEEE Comm Letter., Nov. 2019, minor revision.
• X. Chen, C. Wu, M. Bennis, Z. Zhao, and Z. Han "Learning to Entangle Radio Resources in Vehicular Communications: An Oblivious Game-Theoretic Perspective", IEEE SI on Machine Learning-base Internet of Vehicles, 2019.
• S. Samarakoon, M. Bennis, W. Saad, M. Debbah, "Federated Learning for Ultra-Reliable Low-Latency V2V Communication," in proc. of the IEEE Globecom 2018.

Dynamic HD Mapping

• C. Perfecto, J. Del Ser, M. Bennis, M. Nekane Bilbao, "Beyond WYSIWYG: Sharing Contextual Sensing Data Through mmWave V2V Communications," IEEE Proc. EuCNC 2017, Oulu, Finland.

Platooning

• T. Zeng, O. Semiari, W. Saad, and M. Bennis, "Integrated Communications and Control Co-Design for Wireless Vehicular Platoon System", in Proc. of the IEEE International Conference on Communications (ICC), Kansas City, MO, USA, May 2018.