887 citations · 1.4k across the 37 of their papers we have counts for
9 papers · 1 filter
Trainable Communication Systems: Concepts and Prototype
Sebastian Cammerer, Fayçal Ait Aoudia, Sebastian Dörner +3
We consider a trainable point-to-point communication system, where both transmitter and receiver are implemented as neural networks (NNs), and demonstrate that training on the bit-…
Deep Learning-based Polar Code Design
Moustafa Ebada, Sebastian Cammerer, Ahmed Elkelesh +1
In this work, we introduce a deep learning-based polar code construction algorithm. The core idea is to represent the information/frozen bit indices of a polar code as a binary vec…
Towards Practical Indoor Positioning Based on Massive MIMO Systems
Mark Widmaier, Maximilian Arnold, Sebastian Dörner +2
We showcase the practicability of an indoor positioning system (IPS) solely based on Neural Networks (NNs) and the channel state information (CSI) of a (Massive) multiple-input mul…
On Recurrent Neural Networks for Sequence-based Processing in Communications
Daniel Tandler, Sebastian Dörner, Sebastian Cammerer +1
In this work, we analyze the capabilities and practical limitations of neural networks (NNs) for sequence-based signal processing which can be seen as an omnipresent property in al…
Decoder-in-the-Loop: Genetic Optimization-based LDPC Code Design
Ahmed Elkelesh, Moustafa Ebada, Sebastian Cammerer +2
LDPC code design tools typically rely on asymptotic code behavior and are affected by an unavoidable performance degradation due to model imperfections in the short length regime.…
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…
Spatially Coupled LDPC Codes and the Multiple Access Channel
Sebastian Cammerer, Xiaojie Wang, Yingyan Ma +1
We consider spatially coupled low-density parity-check (SC-LDPC) codes within a non-orthogonal interleave division multiple access (IDMA) scheme to avoid cumbersome degree profile…
Genetic Algorithm-based Polar Code Construction for the AWGN Channel
Ahmed Elkelesh, Moustafa Ebada, Sebastian Cammerer +1
We propose a new polar code construction framework (i.e., selecting the frozen bit positions) for the additive white Gaussian noise (AWGN) channel, tailored to a given decoding alg…
Enabling FDD Massive MIMO through Deep Learning-based Channel Prediction
Maximilian Arnold, Sebastian Dörner, Sebastian Cammerer +3
A major obstacle for widespread deployment of frequency division duplex (FDD)-based Massive multiple-input multiple-output (MIMO) communications is the large signaling overhead for…