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Author

Armin Dekorsy

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Open access 2026

On the Bayesian Performance Limits of Pilot-to-Prediction in Frequency-Selective OFDM Systems

While learning-based channel predictors show promise for reducing pilot overhead in next-generation orthogonal frequency-division multiplexing (OFDM) systems, the lack of principled performance benchmarks prevents rigorous assessment of their proximity to theoretical limits. We derive a closed-form linear minimum mean-...

Louis Lagona, C. Bockelmann, Armin Dekorsy · 0 citations
Open access 2026

Learning to Compress Over Arbitrary Channels: Information Bottleneck-Based Distributed Joint Source-Channel Coding via Deep MARL

In this article, we introduce a Reinforcement Learning (RL)–driven framework for Information Bottleneck (IB)–based distributed Joint Source–Channel Coding (JSCC) that operates reliably when the forward channels are unknown, non-differentiable, stochastic, or entirely black-box. Current state-of-the-art deep variational...

Shayan Hassanpour, D. Wübben, Armin Dekorsy · 0 citations
#machine learning Preprint Sep 2026

Cooperative Multi-Task Semantic Communication for Joint Classification and Regression Tasks

This paper extends the cooperative multi-task SemCom framework to jointly handle heterogeneous classification and regression tasks on the complex Cityscapes dataset and adopts the information maximization (InfoMax) principle so that it accommodates mixed discrete and continuous semantic variables.

Ahmad Halimi Razlighi, M. Rahman, Maximilian H. V. Tillmann et al. · 0 citations
Open access 2026

Dynamic Role Allocation in Cooperative Secure UAV-ISAC Networks

Numerical results demonstrate that the proposed dynamic-role architecture consistently outperforms both a static dedicated-jammer scheme and a fully optimized all-ISAC embedded-AN benchmark, confirming that its secrecy advantage arises from adaptive spatial-functional specialization rather than from artificial-noise tr...

M. M. Selim, Mohamed Rihan, Armin Dekorsy et al. · 0 citations

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