معرفی
Andreas F. Molisch is a Professor at the University of Southern California, specializing in wireless communications and 5G/6G network design. His work focuses on channel modeling, machine learning for network optimization, and THz/mmWave systems.
His research interests include
- Wireless channel measurement and statistical modeling
- Cell-free Massive MIMO architectures
- Federated learning for video caching networks
- LEO satellite handover protocols
- Vegetation impact on ultra-wideband propagation
Recent work explores double-directional channel measurements, semantic localization, and stochastic geometry-based network analysis. Publications span IEEE journals and conferences like GLOBECOM, ICC, and VTC.
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