Connected Autonomy

This page provides key resources on the research results developed by our group with respect to Connected Autonomy.

Journal Publications:


Conferences Publications:

  1. R. Vera-Amaro, M. Burke, and W. Saad, "Coordinated UAVs for Effective Payload Delivery", in Proc. of the IEEE Global Communications Conference (GLOBECOM), Selected Areas in Communications: Aerial Communications Track, Rio de Janeiro, Brazil, December 2022.

  2. X. Fan, D. Moscovitz, and W. Saad, "A Data-Driven Democratized Control Architecture for Regional Transmission Operators", Proc. IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), New Orleans, LA, USA, April 2022.

  3. T. Zeng, O. Semiari, W. Saad, and M. Bennis, "Performance Analysis of Aircraft-to-Ground Communication Networks in Urban Air Mobility (UAM)", in Proc. of the IEEE Global Communications Conference (GLOBECOM), Next Generation Networking and Internet Symposium, Madrid, Spain, December 2021.

  4. T. Zeng, O. Semiari, M. Chen, W. Saad, and M. Bennis, "Federated Learning for Collaborative Controller Design of Connected and Autonomous Vehicles", in Proc. of the 60th IEEE Conference on Decision and Control (CDC), Austin, TX, USA, December 2021.

  5. A. Pourranjbar, G. Kaddoum, and W. Saad, "Jamming Pattern Recognition over Multi-Channel Networks: A Deep Learning Approach", in Proc. of the 55th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, USA, November 2021.

  6. T. Zeng, J. Guo, K. J. Kim, K. Parsons, P. Orlik, S. Di Cairano, and W. Saad, "Multi-Task Federated Learning for Traffic Prediction and its Application to Route Planning", in Proc. of the IEEE Intelligent Vehicles Symposium (IV), Nagoya, Japan, July 2021.

  7. J. Liu, Y. Xiao, Y. Li, G. Shi, W. Saad, and H. V. Poor, "Spatio-temporal Modeling for Large-scale Vehicular Networks Using Graph Convolutional Networks", in Proc. of the IEEE International Conference on Communications (ICC), Next-Generation Networking and Internet Symposium, Montreal, Canada, June 2021.

  8. Q. Zhang, W. Saad, and M. Bennis, "Distributional Reinforcement Learning for mmWave Communications with Intelligent Reflectors on a UAV", in Proc. of the IEEE Global Communications Conference (GLOBECOM), Next Generation Networking and Internet Symposium, Taipei, Taiwan, December 2020.