Prof. Armin Dekorsy

Further information:

ZeTeM, Arbeitsbereich Nachrichtentechnik

Publications

Jun 2024 // journal-article

On-Board Federated Learning for Satellite Clusters With Inter-Satellite Links

IEEE Transactions on Communications

Nasrin Razmi; Bho Matthiesen; Armin Dekorsy; Petar Popovski

https://doi.org/10.1109/TCOMM.2024.3356429

May 2024 // journal-article

Channel Estimation and Pilot Overhead Reduction in OFDM Systems Using Compressed Sensing Dynamic Mode Decomposition

IEEE Communications Letters

Fayad Haddad; Carsten Bockelmann; Armin Dekorsy

https://doi.org/10.1109/LCOMM.2024.3371105

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 CompressionBased 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

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

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

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

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

Minimum measurement deterministic compressed sensing based on complex Reed Solomon decoding

European Signal Processing Conference

Schnier, T.; Bockelmann, C.; Dekorsy, A.

DOI: 10.1109/EUSIPCO.2016.7760270

2016 // conference-paper

Identifying non-adjacent multiuser allocations by joint ℓ1-minimization

IEEE Wireless Communications and Networking Conference, WCNC

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

DOI: 10.1109/WCNC.2016.7564854

2016 // journal-article

Cognitive radios exploiting gray spaces via compressed sensing

Frequency

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

DOI: 10.1515/freq-2015-0145

2016 // journal-article

Massive machine-type communications in 5g: Physical and MAC-layer solutions

IEEE Communications Magazine

Bockelmann, C.; Pratas, N.; Nikopour, H.; Au, K.; Svensson, T.; Stefanovic, C.; Popovski, P.; Dekorsy, A.

DOI: 10.1109/MCOM.2016.7565189

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Prof. Armin Dekorsy

Publications

On-Board Federated Learning for Satellite Clusters With Inter-Satellite Links

Channel Estimation and Pilot Overhead Reduction in OFDM Systems Using Compressed Sensing Dynamic Mode Decomposition

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

Federated Learning in Satellite Constellations

Multi-Source Distributed Data CompressionBased on Information Bottleneck Principle

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

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

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

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

Minimum measurement deterministic compressed sensing based on complex Reed Solomon decoding

Identifying non-adjacent multiuser allocations by joint ℓ1-minimization

Cognitive radios exploiting gray spaces via compressed sensing

Massive machine-type communications in 5g: Physical and MAC-layer solutions

Please feel free to mail us, if you have any further questions

Please feel free to mail us, if you have any further questions