42 citations · 75 across the 31 of their papers we have counts for
6 papers · 1 filter
Avoiding Burst-like Error Patterns in Windowed Decoding of Spatially Coupled LDPC Codes
Kevin Klaiber, Sebastian Cammerer, Laurent Schmalen +1
In this work, we analyze efficient window shift schemes for windowed decoding of spatially coupled low-density parity-check (SC-LDPC) codes, which is known to yield close-tooptimal…
Novel Massive MIMO Channel Sounding Data Applied to Deep Learning-based Indoor Positioning
Maximilian Arnold, Jakob Hoydis, Stephan ten Brink
With a significant increase in area throughput, Massive MIMO has become an enabling technology for fifth generation (5G) wireless mobile communication systems. Although prototypes…
Online Label Recovery for Deep Learning-based Communication through Error Correcting Codes
Stefan Schibisch, Sebastian Cammerer, Sebastian Dörner +2
We demonstrate that error correcting codes (ECCs) can be used to construct a labeled data set for finetuning of "trainable" communication systems without sacrificing resources for…
Subcarrier-Interlaced FDD for Faster-than-TDD Channel Tracking in Massive MIMO Systems
Maximilian Arnold, Xiaojie Wang, Stephan ten Brink
Canonical Massive MIMO uses time division duplex (TDD) to exploit channel reciprocity within the coherence time, avoiding feedback of channel state information (CSI), as is require…
Area Rate Evaluation based on Spatial Clustering of massive MIMO Channel Measurements
Maximilian Arnold, Johannes Pfeiffer, Stephan ten Brink
Channel models for massive MIMO are typically based on matrices with complex Gaussian entries, extended by the Kronecker and Weichselberger model. One reason for observing a gap be…
Evaluating Massive MIMO Precoding based on 3D-Channel Measurements with a Spider Antenna
Maximilian Arnold, Marc Gauger, Stephan ten Brink
Massive Multiple-Input Multiple-Output (MIMO)communications uses a large number of antennas at the base station to increase the data rate and user density in future wireless system…