no code implementations • 15 Oct 2024 • Maximilian Bauhofer, Marcus Henninger, Thorsten Wild, Stephan ten Brink, Silvio Mandelli
The distributed nature of cellular networks is one of the main enablers for integrated sensing and communication (ISAC).
no code implementations • 10 Jul 2024 • Lucas Giroto de Oliveira, Yueheng Li, Silvio Mandelli, David Brunner, Marcus Henninger, Xiang Wan, Tie Jun Cui, Thomas Zwick, Benjamin Nuss
Enabling bistatic radar sensing within the context of integrated sensing and communication (ISAC) for future sixth generation mobile networks demands strict synchronization accuracy, which is particularly challenging to be achieved with over-the-air synchronization.
no code implementations • 18 Jun 2024 • Paolo Tosi, Marcus Henninger, Lucas Giroto de Oliveira, Silvio Mandelli
One rarely addressed direction in the context of Integrated Sensing and Communication (ISAC) is non-line-of-sight (NLOS) sensing, with the potential to enable use cases like intrusion detection and to increase the value that wireless networks can bring.
no code implementations • 8 May 2024 • David Brunner, Lucas Giroto de Oliveira, Charlotte Muth, Silvio Mandelli, Marcus Henninger, Axel Diewald, Yueheng Li, Mohamad Basim Alabd, Laurent Schmalen, Thomas Zwick, Benjamin Nuss
Integrated sensing and communication (ISAC) has been defined as one goal for 6G mobile communication systems.
no code implementations • 19 Feb 2024 • Alexander Felix, Silvio Mandelli, Marcus Henninger, Stephan ten Brink
In this work, we propose a model to evaluate the angular capabilities of a mono-static setup, constrained to the shape of the communications array and its topology requirements in wireless networks.
no code implementations • 19 Feb 2024 • Marcus Henninger, Silvio Mandelli, Artjom Grudnitsky, Stephan ten Brink
The mitigation of clutter is an important research branch in Integrated Sensing and Communication (ISAC), one of the emerging technologies of future cellular networks.
no code implementations • 13 Jun 2023 • Maximilian Bauhofer, Silvio Mandelli, Marcus Henninger, Thorsten Wild, Stephan ten Brink
In contrast, in this work we propose an ensemble of techniques for processing the information gathered from multiple sensing nodes, jointly observing an environment with multiple targets.
no code implementations • 1 Jun 2023 • Marcus Henninger, Silvio Mandelli, Artjom Grudnitsky, Thorsten Wild, Stephan ten Brink
One of those is clutter removal, which should be applied to remove the influence of unwanted components, scattered by the environment, in the acquired sensing signal.
no code implementations • 11 May 2023 • Silvio Mandelli, Marcus Henninger, Maximilian Bauhofer, Thorsten Wild
As the research community starts to address the* key features of 6G cellular standards, one of the agreed bridge topics to be studied already in 5G advanced releases is Integrated Sensing and Communication (ISAC).
no code implementations • 3 May 2023 • Thorsten Wild, Artjom Grudnitsky, Silvio Mandelli, Marcus Henninger, Junqing Guan, Frank Schaich
Integrated sensing and communications (ISAC) will be deployed into cellular communication systems possibly already with 5G-A and surely in 6G.
2 code implementations • 18 Jul 2022 • Marcus Henninger, Traian E. Abrudan, Silvio Mandelli, Maximilian Arnold, Stephan Saur, Veli-Matti Kolmonen, Siegfried Klein, Thomas Schlitter, Stephan ten Brink
In this work, we introduce an iterative positioning method that reweights the time of arrival (ToA) and angle of arrival (AoA) measurements originating from multiple locators in order to efficiently remove outliers.
no code implementations • 17 Feb 2022 • Silvio Mandelli, Marcus Henninger, Jinfeng Du
The surge of massive antenna arrays in wireless networks calls for the adoption of analog/hybrid array solutions, where multiple antenna elements are driven by a common radio front end to form a beam along a specific angle in order to maximize the beamforming gain.
no code implementations • 30 Apr 2021 • Marcus Henninger, Silvio Mandelli, Maximilian Arnold, Stephan ten Brink
Future cellular networks are intended to have the ability to sense the environment by utilizing reflections of transmitted signals.