161 citations · 212 across the 12 of their papers we have counts for
12 papers
CSI Obfuscation: Single-Antenna Transmitters Can Not Hide from Adversarial Multi-Antenna Radio Localization Systems
Phillip Stephan, Florian Euchner, Stephan ten Brink
The ability of modern telecommunication systems to locate users and objects in the radio environment raises justified privacy concerns. To prevent unauthorized localization, single…
Joint Detection and Decoding: A Graph Neural Network Approach
Jannis Clausius, Marvin Rübenacke, Daniel Tandler +1
Narrowing the performance gap between optimal and feasible detection in inter-symbol interference (ISI) channels, this paper proposes to use graph neural networks (GNNs) for detect…
Bistatic Information Fusion for Positioning and Tracking in Integrated Sensing and Communication
Maximilian Bauhofer, Marcus Henninger, Thorsten Wild +2
The distributed nature of cellular networks is one of the main enablers for integrated sensing and communication (ISAC). For target positioning and tracking, making use of bistatic…
Nested Symmetric Polar Codes
Marvin Rübenacke, Andreas Zunker, Felix Krieg +1
In this paper, we propose a data-driven algorithm to design rate- and length-flexible polar codes. While the algorithm is very general, a particularly appealing use case is the des…
ESPARGOS: Phase-Coherent WiFi CSI Datasets for Wireless Sensing Research
Florian Euchner, Stephan ten Brink
The use of WiFi signals to sense the physical environment is gaining popularity, with some common applications being motion detection and transmitter localization. Standard-complia…
Deep Learning for Uplink CSI-based Downlink Precoding in FDD massive MIMO Evaluated on Indoor Measurements
Florian Euchner, Niklas Süppel, Marc Gauger +2
When operating massive multiple-input multiple-output (MIMO) systems with uplink (UL) and downlink (DL) channels at different frequencies (frequency division duplex (FDD) operation…
A Polar Subcode Approach to Belief Propagation List Decoding
Marvin Geiselhart, Ahmed Elkelesh, Jannis Clausius +1
Permutation decoding gained recent interest as it can exploit the symmetries of a code in a parallel fashion. Moreover, it has been shown that by viewing permuted polar codes as po…
Decoder-tailored Polar Code Design Using the Genetic Algorithm
Ahmed Elkelesh, Moustafa Ebada, Sebastian Cammerer +1
We propose a new framework for constructing polar codes (i.e., selecting the frozen bit positions) for arbitrary channels, and tailored to a given decoding algorithm, rather than b…
Near-Capacity Detection and Decoding: Code Design for Dynamic User Loads in Gaussian Multiple Access Channels
Xiaojie Wang, Sebastian Cammerer, Stephan ten Brink
This paper considers the forward error correction (FEC) code design for approaching the capacity of a dynamic multiple access channel (MAC) where both the number of users and their…
Belief Propagation List Decoding of Polar Codes
Ahmed Elkelesh, Moustafa Ebada, Sebastian Cammerer +1
We propose a belief propagation list (BPL) decoder with comparable performance to the successive cancellation list (SCL) decoder of polar codes, which already achieves the maximum…
On Deep Learning-based Massive MIMO Indoor User Localization
Maximilian Arnold, Sebastian Dörner, Sebastian Cammerer +1
We examine the usability of deep neural networks for multiple-input multiple-output (MIMO) user positioning solely based on the orthogonal frequency division multiplex (OFDM) compl…
On Deep Learning-Based Channel Decoding
Tobias Gruber, Sebastian Cammerer, Jakob Hoydis +1
We revisit the idea of using deep neural networks for one-shot decoding of random and structured codes, such as polar codes. Although it is possible to achieve maximum a posteriori…