Prof. Armin Dekorsy

Weitere Informationen:

ZeTeM, Arbeitsbereich Nachrichtentechnik

Ökosystem

Mitglied des Wissenschaftsschwerpunkts "Minds Media Machines"

Geschäftsführender Direktor des Gauss Olbers Space Technology Transfer Centers

Institutsleiter des Arbeitsbereichs Nachrichtentechnik (ANT)

Mitglied des Direktoriums des Technologie Zentrums Informatik und Informationstechnik (TZI)

Publikationen

Apr 2024 // Journal article

Energy efficiency maximization for active RIS-aided integrated sensing and communication

EURASIP Journal on Wireless Communications and Networking

Mohamed Rihan; Alessio Zappone; Stefano Buzzi; Dirk Wübben; Armin Dekorsy

https://doi.org/10.1186/s13638-024-02346-8

Mar 2024 // Journal article

Federated Learning in Satellite Constellations

IEEE Network

Bho Matthiesen; Nasrin Razmi; Israel Leyva-Mayorga; Armin Dekorsy; Petar Popovski

https://doi.org/10.1109/MNET.132.2200504

2024 // Journal article

Multi-Source Distributed Data Compression Based on Information Bottleneck Principle

IEEE Open Journal of the Communications Society

Shayan Hassanpour; Alireza Danaee; Dirk Wübben; Armin Dekorsy

https://doi.org/10.1109/OJCOMS.2024.3426049

2024 // Journal article

Position-Based Transceiver Design for Multiple Satellite to VSAT Downlink

IEEE Open Journal of the Communications Society

Maik Röper; Bho Matthiesen; Dirk Wübben; Petar Popovski; Armin Dekorsy

https://doi.org/10.1109/OJCOMS.2024.3486601

Jul 2023 // Journal article

Semantic Information Recovery in Wireless Networks

Sensors

Edgar Beck; Carsten Bockelmann; Armin Dekorsy

https://doi.org/10.3390/s23146347

Apr 2023 // Journal article

Swarm Exploration and Communications: A First Step towards Mutually-Aware Integration by Probabilistic Learning

Electronics

Edgar Beck; Ban-Sok Shin; Shengdi Wang; Thomas Wiedemann; Dmitriy Shutin; Armin Dekorsy

https://doi.org/10.3390/electronics12081908

Jan 2023 // Journal article

Robust Deep Reinforcement Learning Scheduling via Weight Anchoring

IEEE Communications Letters

Steffen Gracla; Edgar Beck; Carsten Bockelmann; Armin Dekorsy

https://doi.org/10.1109/LCOMM.2022.3214574

Nov 2022 // Journal article

DRLLA: Deep Reinforcement Learning for Link Adaptation

Telecom

Florian Geiser; Daniel Wessel; Matthias Hummert; Andreas Weber; Dirk Wübben; Armin Dekorsy; Alberto Viseras

https://doi.org/10.3390/telecom3040037

Oct 2022 // Journal article

Minimum-Integer Computation Finite Alphabet Message Passing Decoder: From Theory to Decoder Implementations towards 1 Tb/s

Entropy

Tobias Monsees; Oliver Griebel; Matthias Herrmann; Dirk Wübben; Armin Dekorsy; Norbert Wehn

https://doi.org/10.3390/e24101452

Apr 2022 // Journal article

Ground-Assisted Federated Learning in LEO Satellite Constellations

IEEE Wireless Communications Letters

Nasrin Razmi; Bho Matthiesen; Armin Dekorsy; Petar Popovski

https://doi.org/10.1109/LWC.2022.3141120

2022 // Journal article

Globally Optimal Spectrum- and Energy-Efficient Beamforming for Rate Splitting Multiple Access

IEEE Transactions on Signal Processing

Bho Matthiesen; Yijie Mao; Armin Dekorsy; Petar Popovski; Bruno Clerckx

https://doi.org/10.1109/TSP.2022.3214376

Dec 2021 // Journal article

CMDNet: Learning a Probabilistic Relaxation of Discrete Variables for Soft Detection With Low Complexity

IEEE Transactions on Communications

Edgar Beck; Carsten Bockelmann; Armin Dekorsy

https://doi.org/10.1109/TCOMM.2021.3114682

Oct 2021 // Journal article

Forward-Aware Information Bottleneck-Based Vector Quantization: Multiterminal Extensions for Parallel and Successive Retrieval

IEEE Transactions on Communications

Shayan Hassanpour; Dirk Wubben; Armin Dekorsy

https://doi.org/10.1109/TCOMM.2021.3097142

Dec 2020 // Journal article

Forward-Aware Information Bottleneck-Based Vector Quantization for Noisy Channels

IEEE Transactions on Communications

Shayan Hassanpour; Tobias Monsees; Dirk Wubben; Armin Dekorsy

https://doi.org/10.1109/TCOMM.2020.3019447

2020 // Journal article

A Factor Graph-Based Distributed Consensus Kalman Filter

IEEE Signal Processing Letters

Shengdi Wang; Armin Dekorsy

https://doi.org/10.1109/LSP.2020.3036337

2020 // Journal article

Detection Techniques for Massive Machine-Type Communications: Challenges and Solutions

IEEE Access

Roberto B. Di Renna; Carsten Bockelmann; Rodrigo C. de Lamare; Armin Dekorsy

https://doi.org/10.1109/ACCESS.2020.3027523

2020 // Journal article

LEO Small-Satellite Constellations for 5G and Beyond-5G Communications

IEEE Access

Israel Leyva-Mayorga; Beatriz Soret; Maik Roper; Dirk Wubben; Bho Matthiesen; Armin Dekorsy; Petar Popovski

https://doi.org/10.1109/ACCESS.2020.3029620

Sep 2019 // Journal article

Modeling the Active Neuron Separation in the Compressed Sensing and Finite Rate of Innovation Framework

IEEE Transactions on Signal Processing

Tobias Schnier; Carsten Bockelmann; Armin Dekorsy

https://doi.org/10.1109/TSP.2019.2928982

Nov 2018 // Journal article

Distributed Adaptive Learning With Multiple Kernels in Diffusion Networks

IEEE Transactions on Signal Processing

Ban-Sok Shin; Masahiro Yukawa; Renato Luis Garrido Cavalcante; Armin Dekorsy

https://doi.org/10.1109/TSP.2018.2868040

Feb 2018 // Journal article

Factor Graph-Based Equalization for Two-Way Relaying With General Multi-Carrier Transmissions

IEEE Transactions on Wireless Communications

Matthias Woltering; Dirk Wubben; Armin Dekorsy

https://doi.org/10.1109/TWC.2017.2776941

2016 // Conference paper

A potential solution for MTC: Multi-Carrier Compressed Sensing Multi-User Detection

Conference Record - Asilomar Conference on Signals, Systems and Computers

Monsees, F.; Woltering, M.; Bockelmann, C.; Dekorsy, A.

https://doi.org/10.1109/ACSSC.2015.7421051

2016 // Journal article

Cognitive radios exploiting gray spaces via compressed sensing

Frequenz

Wieruch, D.; Jung, P.; Wirth, T.; Dekorsy, A.; Haustein, T.

https://doi.org/10.1515/freq-2015-0145

2016 // Conference paper

Determining user specific spectrum usage via sparse channel characteristics

Conference Record - Asilomar Conference on Signals, Systems and Computers

Wieruch, D.; Jung, P.; Wirth, T.; Dekorsy, A.

https://doi.org/10.1109/ACSSC.2015.7421103

2016 // Conference paper

Distributed kernel least squares for nonlinear regression applied to sensor networks

European Signal Processing Conference

Shin, B.-S.; Paul, H.; Dekorsy, A.

https://doi.org/10.1109/EUSIPCO.2016.7760516

2016 // Conference paper

Identifying non-Adjacent multiuser allocations by joint ℓ<inf>1</inf>-minimization

IEEE Wireless Communications and Networking Conference, WCNC

Wieruch, D.; Jung, P.; Wirth, T.; Dekorsy, A.

https://doi.org/10.1109/WCNC.2016.7564854

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Prof. Armin Dekorsy

Ökosystem

Publikationen

Energy efficiency maximization for active RIS-aided integrated sensing and communication

Federated Learning in Satellite Constellations

Multi-Source Distributed Data Compression Based on Information Bottleneck Principle

Position-Based Transceiver Design for Multiple Satellite to VSAT Downlink

Semantic Information Recovery in Wireless Networks

Swarm Exploration and Communications: A First Step towards Mutually-Aware Integration by Probabilistic Learning

Robust Deep Reinforcement Learning Scheduling via Weight Anchoring

DRLLA: Deep Reinforcement Learning for Link Adaptation

Minimum-Integer Computation Finite Alphabet Message Passing Decoder: From Theory to Decoder Implementations towards 1 Tb/s

Ground-Assisted Federated Learning in LEO Satellite Constellations

Globally Optimal Spectrum- and Energy-Efficient Beamforming for Rate Splitting Multiple Access

CMDNet: Learning a Probabilistic Relaxation of Discrete Variables for Soft Detection With Low Complexity

Forward-Aware Information Bottleneck-Based Vector Quantization: Multiterminal Extensions for Parallel and Successive Retrieval

Forward-Aware Information Bottleneck-Based Vector Quantization for Noisy Channels

A Factor Graph-Based Distributed Consensus Kalman Filter

Detection Techniques for Massive Machine-Type Communications: Challenges and Solutions

LEO Small-Satellite Constellations for 5G and Beyond-5G Communications

Modeling the Active Neuron Separation in the Compressed Sensing and Finite Rate of Innovation Framework

Distributed Adaptive Learning With Multiple Kernels in Diffusion Networks

Factor Graph-Based Equalization for Two-Way Relaying With General Multi-Carrier Transmissions

A potential solution for MTC: Multi-Carrier Compressed Sensing Multi-User Detection

Cognitive radios exploiting gray spaces via compressed sensing

Determining user specific spectrum usage via sparse channel characteristics

Distributed kernel least squares for nonlinear regression applied to sensor networks

Identifying non-Adjacent multiuser allocations by joint ℓ<inf>1</inf>-minimization

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