Reinhard Wiesmayr — accepted AI-conference papers

2024

LoFi User Scheduling for Multiuser Mimo Wireless Systems

Alexandra Gallyas-Sanhueza, Gian Marti, Victoria M. T. Palhares, Reinhard Wiesmayr, Christoph Studer

ICASSP 2024accepted

We propose new low-fidelity (LoFi) user equipment (UE) scheduling algorithms for multiuser multiple-input multiple-output (MIMO) wireless communication systems. The proposed methods rely on an efficient guess-and-check procedure that, given an objective function, performs paired comparisons between…

Cited by 0 Source ↗Scholar ↗

2023

Bit Error and Block Error Rate Training for ML-Assisted Communication

Reinhard Wiesmayr, Gian Marti, Chris Dick, Haochuan Song, Christoph Studer

ICASSP 2023accepted

Even though machine learning (ML) techniques are being widely used in communications, the question of how to train communication systems has received surprisingly little attention. In this paper, we show that the commonly used binary cross-entropy (BCE) loss is a sensible choice in uncoded systems,…

Cited by 0 Source ↗Scholar ↗

2020

Model Order Selection in DoA Scenarios via Cross-entropy Based Machine Learning Techniques

Andreas Barthelme, Reinhard Wiesmayr, Wolfgang Utschick

ICASSP 2020accepted

In this paper, we present a machine learning approach for estimating the number of incident wavefronts in a direction of arrival scenario. In contrast to previous works, a multilayer neural network with a cross-entropy objective is trained. Furthermore, we investigate an online training procedure th…

Cited by 0 Source ↗Scholar ↗