Resource Optimization for Context-Aware Smart Cities

SAFARI

Project description

Strategic research project of the University of Oulu
Focus institute: Kvantum
Faculty: Information Technology and Electrical Engineering

Our cities are becoming increasingly complex to optimize and manage. Optimizing these multi-dimensional networks over time and space warrants a fundamental paradigm shift from traditional centralized optimization toward self-organizing and context-aware networked cities. Exploiting Intelligent Transportation systems (ITS) via vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications, holds the promise of making our future transportation system safer, efficient, and environmentally sustainable. This project will investigate how to exploit urban analytics, computing, storage, in conjunction with recent advances in 5G wireless technologies to address the myriad of challenges in traffic safety, mobility, sustainability, and energy-efficiency.  This project is multidisciplinary in nature and will aim at weaving in notions from optimization theory, game theory, control theory, statistical physics and others whose applications will go beyond SAFARI.

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

Project coordinator

University of Oulu

Project results

Publications

Millimeterwave based V2V Communications

Resource allocation w/ URLLC + Slicing

Distributed AI + URLLC

  • 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

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.

 

People

Mehdi Bennis

Associate Professor