Foto von Fabian Esteban Seguel Gonzalez

Dr. Dr.-Ing. Fabian Esteban Seguel Gonzalez

Lehrstuhl für Medientechnik (Prof. Steinbach)


Arcisstr. 21
80333 München


Fabián Seguel, Ph.D. (Member, IEEE) received the B.Sc. and M.Sc. degrees in electrical engineering from the Universidad de Santiago de Chile (USACH) in 2013 and 2015, respectively, and the double Ph.D. degree in automation, signal and image processing (with highest honours) from the Université de Lorraine, France and the Universidad de Santiago de Chile, Chile in 2020. From 2020 to 2022, he was an Assistant Professor in the Department of Electrical Engineering at USACH. He is currently a Postdoctoral Fellow at the Chair of Media Technology at the Technical University of Munich, Germany, working on joint communication and sensing applications as part of the 6G-life project. His research interests include indoor positioning, location-based services and signal processing in wireless communications.


Joint communication and sensing:

It is expected that the deployment of sixth generation (6G) and beyond wireless networks will provide the necessary wireless communications resources to cope the increasing demand for various novel and high demanding applications, such as, digital twins, extended reality (XR) services (encompassing augmented, mixed, and virtual reality (AR/MR/VR)), tele-presence, tele-operation, smart cities, autonomous driving, and healthcare.

For providing such services and ensure ubiquitous service, wireless networks have increased their presence. In addition to this, to increase the data transmission capabilities, the spectrum usage has moved from traditional short-wave radio bands to mm-waves. Moreover, novel techniques such as multiband carrier transmission and massive Multiple Input Multiple Output (m-MIMO) have increased the granularity of the channel realization and the amount of information that could be obtained from the propagated signal. The adoption of such techniques in 6G networks will unlock the potential for very accurate sensing based on radar-like technology.

Joint sensing and communication refer to the usage of wireless radiofrequency signals to convey not only data transmission, but also to perceive and obtain spatial knowledge of the physical surrounding by processing the reflection of communications signals.

The inclusion of sensing capabilities in a communication network is a very promising area that presents many opportunities and challenges as shown in Figure 1. JCS can be used to improve the performance of the communication network itself, but also there exist plenty of interesting use cases where sensing can be offered as a complementary service to users or develop new applications that are external to the network.

Some of the services that can be provide are: Patient health monitoring, localization and tracking in indoor environments, autonomous navigations in harsh environments, autonomous driving under extreme environmental conditions, traffic monitoring and autonomous driving, material recognition and classification, and human activity recognition among others.

The main goal is to unveal the sensing capabilities of novel wireless technologies to provide different services and applications.