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20142026
most citedMassive Machine-type Communications in 5G: Physical and MAC-layer solutions

784 citations · 861 across the 28 of their papers we have counts for

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Showing 2025 · eess.SPShow all

6 papers · 2 filters

eess.SP2025

Model-Free Robust Beamforming in Satellite Downlink using Reinforcement Learning

Alea Schröder, Steffen Gracla, Carsten Bockelmann +2

Satellite-based communications are expected to be a substantial future market in 6G networks. As satellite constellations grow denser and transmission resources remain limited, fre…

eess.SP2025

Semantic Communication for Task Execution and Data Reconstruction in Multi-View Scenarios

Maximilian H. V. Tillmann, Avinash Kankari, Carsten Bockelmann +1

Semantic communication has gained significant attention with the advances in machine learning. Most semantic communication works focus on either task execution or data reconstructi…

eess.SP2025

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data

Mehdi Abdollahpour, Carsten Bockelmann, Tajim Md Hasibur Rahman +2

Nanoscale manufacturing requires high-precision surface inspection to guarantee the quality of the produced nanostructures. For production environments, angle-resolved scatterometr…

eess.SP2025

CQI-Based Interference Prediction for Link Adaptation in Industrial Sub-networks

Pramesh Gautam, Ravi Sharan Bhagavathula, Paolo Baracca +3

We propose a novel interference prediction scheme to improve link adaptation (LA) in densely deployed industrial sub-networks (SNs) with high-reliability and low-latency communicat…

eess.SP2025

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks

Pramesh Gautam, Sushmita Sapkota, Carsten Bockelmann +2

Interference prediction that accounts for extreme and rare events remains a key challenge for ultra-densely deployed sub-networks (SNs) requiring hyper-reliable low-latency communi…

eess.SP2025

Semantic Communication for Cooperative Multi-Tasking over Rate-Limited Wireless Channels with Implicit Optimal Prior

Ahmad Halimi Razlighi, Carsten Bockelmann, Armin Dekorsy

In this work, we expand the cooperative multi-task semantic communication framework (CMT-SemCom) introduced in [1], which divides the semantic encoder on the transmitter side into…