Dr. Bastian Bloessl

Software-Defined Wireless Communication Systems / Postdoc

Contact Information

Pankratiusstraße 2
64289 Darmstadt
S2|20 215
bbloessl@seemoo.tu-darmstadt.de
+49 6151 16-25477
Homepage

Biography

Dr. Bastian Bloessl is a postdoctoral researcher at the Secure Mobile Networking Lab (SEEMOO) of TU Darmstadt in Germany. Before moving to Darmstadt, Bastian was a research fellow at the CONNECT Center, Trinity College Dublin, Ireland’s Research Center for Future Networks and Communications, where he was funded through a Marie Skłodowska-Curie fellowship. He received his PhD (“Dr. rer. nat.”, summa cum laude) in Computer Science from Paderborn University, Germany, in 2018 and his MSc (“Dipl.-Inform.”) in Computer Science from University of Würzburg, Germany, in 2011. He started his PhD at the Computer and Communication Systems Group at the University of Innsbruck, Austria in 2011, moving with the group to Paderborn University in 2014 to continue his studies. In 2015, he won a FitWeltweit scholarship from the German Academic Exchange Service (DAAD), which funded a six-month stay in the research group of Prof. Mario Gerla at the Computer Science Department of the University of California, Los Angeles (UCLA). His research is focused on real-time signal processing for software defined wireless networks as well as the performance and robustness of vehicular and sensor networks.

Offered Theses Topics

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2023 Completed (May 2024)

Deployable Crisis Communication with Smartphones by Combining Acoustic and Radio Communication

Supervisor: Florentin Putz Bastian Bloessl

...

2023 Completed (January 2024)

Design and Evalution of Infrastructureless Emergency Communication

Supervisor: Bastian Bloessl Florentin Putz

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2023 Available now

Software Defined Wireless Networks

Supervisor: Bastian Bloessl

I work a lot with Software Defined Radio, in particular, FutureSDR (on software side) and Ettus USRPs, Aaronia Spectran v6, and Xilinx RFSoCs (on hardware side). Talk to me, if you are interested in: Implementation and performance evaluation of a wireless standard or technology. Real-time signal processing (e.g., scheduling or benchmarking). Hardware acceleration (SIMD, FPGA, or GPU). Distributed signal processing. Open RAN. If you are excited about one of these topics, we can come up with a Bachelor or Master thesis that matches your interest.

2021 Completed

A Full-Band Bluetooth Sniffer for a Software-Defined Radio

Supervisor: Bastian Bloessl Jiska Classen

2020 Completed

The Latency--Throughput Tradeoff of GPP-based SDRs

Supervisor: Bastian Bloessl

2020 Completed

GNU Radio Runtime Performance Evaluation

Supervisor: Bastian Bloessl

2020 Completed

Bluetooth Low Energy Sniffing

Supervisor: Bastian Bloessl Jiska Classen

Publications

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Year

Show awards only

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2024 22nd Annual International Conference on Mobile Systems, Applications and Services (MOBISYS '24) Conference

Always On Air: Adaptive Physical Layer Switching For Uninterrupted UAV Air-to-Ground Communication

Vincenz Mechler Felix Wiegand Matthias Hollick Bastian Bloessl

BibTeX DOI: 10.1145/3661810.3663467

Abstract

Reliable wireless communication is crucial for remote operation of Unmanned Aerial Vehicles (UAVs). Yet, staying in control of the vehicle at all times poses a great challenge, given the dynamics of the wireless channel. Existing technologies are optimized for a given application and, therefore, not well suited for this use case, as they cannot provide both high throughput in high Signal to Noise Ratio (SNR) regimes and high reliability in low SNR regimes. To overcome this limitation, we propose a channel-aware predictive physical layer switching algorithm, utilizing the UAV's telemetry data for implicit synchronization. We evaluate our system experimentally in a fully emulated testbed, achieving an overall outage probability as low as 0.7 % while increasing the average throughput.

2023 29th Annual International Conference on Mobile Computing and Networking (ACM MobiCom '23) Conference

Software-Defined Wireless Communication Systems for Heterogeneous Architectures

David Volz Andreas Koch Bastian Bloessl

BibTeX DOI: 10.1145/3570361.3614084

Abstract

Future cellular networks will be programmable and increasingly software-defined with APIs to hook into the communication stack closer and closer to the physical layer. This allows operators, for example, to plug-in third-party machine learning algorithms to optimize performance. At the same time, this flexibility implies that compute resources cannot be provisioned statically but have to be distributed dynamically during runtime. While the hardware platforms for such systems are available, we lack suitable software frameworks that help to realize such systems. In this demonstration, we present two Open Source projects that fill this gap: FutureSDR, a portable real-time signal processing framework with native support for accelerators (like GPUs and FGPAs); and IPEC, which enables fully automatic composition of multi-accelerator FPGA designs. We believe that these tools - especially in combination with each other - can provide the base for building research prototypes and allow experimentation with software-defined wireless communication systems.