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20162026
most citedVisualizing the Loss Landscape of Neural Nets

605 citations · 852 across the 19 of their papers we have counts for

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Showing 2022 · cs.ITShow all

6 papers · 2 filters

cs.IT2022

DUIDD: Deep-Unfolded Interleaved Detection and Decoding for MIMO Wireless Systems

Reinhard Wiesmayr, Chris Dick, Jakob Hoydis +1

Iterative detection and decoding (IDD) is known to achieve near-capacity performance in multi-antenna wireless systems. We propose deep-unfolded interleaved detection and decoding…

cs.IT2022

Joint Jammer Mitigation and Data Detection for Smart, Distributed, and Multi-Antenna Jammers

Gian Marti, Christoph Studer

Multi-antenna (MIMO) processing is a promising solution to the problem of jammer mitigation. Existing methods mitigate the jammer based on an estimate of its subspace (or receive s…

cs.IT2022

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

Reinhard Wiesmayr, Gian Marti, Chris Dick +2

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.…

cs.IT2022★ 25 cited

Mitigating Smart Jammers in Multi-User MIMO

Gian Marti, Torben Kölle, Christoph Studer

Wireless systems must be resilient to jamming attacks. Existing mitigation methods based on multi-antenna processing require knowledge of the jammer's transmit characteristics that…

cs.IT2022

Beam Alignment for the Cell-Free mmWave Massive MU-MIMO Uplink

Jannik Brun, Victoria Palhares, Gian Marti +1

Millimeter-wave (mmWave) cell-free massive multi-user (MU) multiple-input multiple-output (MIMO) systems combine the large bandwidths available at mmWave frequencies with the impro…

cs.IT2022

An Optimization-Based User Scheduling Framework for mmWave Massive MU-MIMO Systems

Victoria Palhares, Christoph Studer

We propose a novel user equipment (UE) scheduling framework for millimeter-wave (mmWave) massive multiuser (MU) multiple-input multiple-output (MIMO) wireless systems. Our framewor…