Advanced Transceiver Design for Smart Grid Communications

Smart grids, the future of electricity grids, aim to accommodate the escalating global demand for electricity. Pivotal to this progression are wireless networks, which are crucial for monitoring and controlling electricity generation, transmission, and consumption. Wireless networks, with their cost-effectiveness, flexibility, expansive coverage, inherent self-organization, and rapid deployment, are superseding traditional wired communication. However, the transition presents formidable challenges, such as robust RF interference or impulsive noise in adverse environments.
This research project aims to surmount these obstacles by improving the robustness and efficiency of wireless communication systems in smart grids, focusing on combating impulsive noise with memory. By focusing on Artificial Intelligence (AI)-based Semantic Communication, the project will ensure that the meaning and intent behind the information are accurately conveyed and understood, despite the presence of impulsive noise and strong RF interference. This approach promises not only to optimize the use of the wireless spectrum but also to maintain the reliability of critical information transmission within smart grids. Through precise noise modeling, AI-driven transceiver design, and the advancement of semantic-based multiple access techniques, this research aims to advance the field of wireless communications for smart grids, ensuring efficient and reliable electricity distribution in response to the evolving energy landscape.

Faculty Supervisor:

Georges Kaddoum

Student:

Partner:

University of Oulu

Discipline:

Engineering

Sector:

Education

University:

École de technologie supérieure

Program: