IEEE AP-S Distinguished Lecture by Prof. Costas Sarris. The transformative impact of machine learning enabled computational electromagnetics on the future of wireless
IEEE AP-S Distinguished Lecture by Prof. Costas Sarris.
Abstract:
Wireless propagation modeling, which is the prediction of the electromagnetic field levels generated by a wireless communication system, is an essential element of such an intelligent planning process. These models can be deduced by numerical algorithms based on the physics of electromagnetic wave propagation, or by measurements. Numerical prediction methods require a high level of relevant expertise and significant computational resources. As a result, wireless service planning mostly relies on resource-consuming measurement campaigns.
Software-based planning is a reality in several areas, including the design of environmentally friendly buildings, where simulation tools are used to optimize heat and air flow. The question is how to enable a similar approach for wireless infrastructure that is becoming as indispensable as any other infrastructure element.
This presentation is aimed at demonstrating that machine learning enabled propagation models can ad- dress this question, overcoming the dichotomy between accuracy and efficiency that has dominated this area for decades. We give an overview of the most recent advances in the field, including neural networks that can accurately predict, in real-time, signal strength levels of indoor and outdoor wireless networks by processing the geometry and the position of one or more transmitters. We discuss the use of such models for the rapid placement of massive numbers of access points of wireless networks, such as those providing wireless connectivity to spectators in large sports venues. The presentation is concluded with an overview of remaining challenges and future prospec
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- Université de Rennes, Campus de Beaulieu, Conference room of Building 11D
- Rennes, Bretagne
- France
- Building: Building 11D
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The IETR is a public research laboratory expert in the field of electronics and digital technologies.
- Co-sponsored by IETR, UMR CNRS 6164, Université de Rennes
- Starts 26 November 2024 11:00 PM UTC
- Ends 08 December 2024 11:00 PM UTC
- No Admission Charge
Agenda
9:30–10:00 AM: Welcome coffee
10:00–11:00 AM: Distinguished Lecture by Prof. Costas
Title: The transformative impact of machine learning enabled computational electromagnetics on the future of wireless
11:00-11:15 AM: Presentation of IEEE and AP-S French Chapter activities and their relevance to students
11:15–11:45 AM: Best Student Paper Award
11:45–12:15 PM: Best Young Professional Paper Award
12:30–2:00 PM: Lunch with Costas, Smail, Ronan and winners of the awards
2:00–3:00 PM: Presentation of IETR to Costas by Ronan
3:00–4:00 PM: Tour of the MARS and NanoRennes platforms