Channel charting is a self-supervised learning technique whose objective...
The discovery of suitable automorphisms of polar codes gained a lot of
a...
Isolated training with Gaussian priors (TGP) of the component autoencode...
For short-packet, low-latency communications over random access channels...
Recently, automorphism ensemble decoding (AED) has drawn research intere...
The URLLC scenario in the upcoming 6G standard requires low latency and ...
We investigate the applicability of deep reinforcement learning algorith...
For improving short-length codes, we demonstrate that classic decoders c...
It is well known that to fulfill their full potential, the design of pol...
When operating massive multiple-input multiple-output (MIMO) systems wit...
Finding optimal message quantization is a key requirement for low comple...
Pulse shaping for coherent optical fiber communication has been an activ...
We propose and practically demonstrate a joint detection and decoding sc...
A distributed massive MIMO channel sounder for acquiring large CSI datas...
The objective of channel charting is to learn a virtual map of the radio...
Synchronization of transceiver chains is a major challenge in the practi...
Permutation decoding gained recent interest as it can exploit the symmet...
We propose and examine the idea of continuously adapting state-of-the-ar...
We consider automorphism ensemble decoding (AED) of quasi-cyclic (QC)
lo...
Reed-Muller (RM) codes are known for their good maximum likelihood (ML)
...
Massive MIMO uses a large number of antennas to increase the spectral
ef...
Attracted by its scalability towards practical codeword lengths, we revi...
We compare the potential of neural network (NN)-based channel estimation...
The automorphism group of a code is the set of permutations of the codew...
Reed-Muller (RM) codes are known for their good maximum likelihood (ML)
...
We consider the usage of finite-length polar codes for the Gaussian mult...
Motivated by the recent success of end-to-end training of communications...
Optical nonlinear Fourier transform-based communication systems require ...
The practical realization of end-to-end training of communication system...
In this paper we present a measurement set-up for massive MIMO channel
s...
Although iterative decoding of polar codes has recently made huge progre...
We consider a trainable point-to-point communication system, where both
...
In this work, we introduce a deep learning-based polar code construction...
Previous work showed that polar codes can be decoded using off-the-shelf...
Wireless channels generally exhibit dispersion in both time and frequenc...
We establish a multi-user extrinsic information transfer (EXIT) chart ar...
We showcase the practicability of an indoor positioning system (IPS) sol...
In this work, we analyze the capabilities and practical limitations of n...
Low-Density Parity-Check (LDPC) code design tools typically rely on the
...
We propose a new framework for constructing polar codes (i.e., selecting...
We propose a new polar code construction framework (i.e., selecting the
...
We consider spatially coupled low-density parity-check (SC-LDPC) codes w...
A major obstacle for widespread deployment of frequency division duplex
...
Multi-soliton pulses are potential candidates for fiber optical transmis...
Spectral amplitude modulation for dual-polarization multi-soliton
transm...
We consider the design of low-density parity-check (LDPC) codes with
clo...
In this work, we analyze efficient window shift schemes for windowed dec...
We consider dual-polarized optical multi-soliton pulse transmission.
Mod...
We demonstrate that error correcting codes (ECCs) can be used to constru...
We propose a belief propagation list (BPL) decoder with comparable
perfo...