Scene-conditioned PINN-GNN framework for generating and completing multipath RF maps with a new peak-weighted DTW metric.
Sionna RT: Differentiable ray tracing for radio propagation modeling
5 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 5representative citing papers
WiSER introduces a transmitter-conditioned sparse 3D scene encoder queried by a ray-corridor decoder for radiomaps and a DETR-style set decoder for variable-cardinality CIR taps, trained on co-registered ScanNet++ and Sionna data.
RadarTwin produces deployment-specific mmWave radar simulations from 3D models that enable real-object recognition at 2.5 times chance with zero real labels and 95.3% accuracy with few labels on a 12-way task.
Formulates base-station placement as a maximin seasonal coverage problem and solves it via GPBO with ray-tracing, reporting 72.8% worst-case coverage for K=3 on a 1 km² farm.
Autoencoder CSI compression reduces channel sounding overhead by more than 50% versus standard IEEE 802.11 methods and improves throughput and latency in coordinated beamforming.
citing papers explorer
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Scene-Conditioned PINN-GNN for Multipath RF Maps: Cross-Scene Generation and In-Scene Completion
Scene-conditioned PINN-GNN framework for generating and completing multipath RF maps with a new peak-weighted DTW metric.
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WiSER: A Wireless Scene Encoder for Geometry-Grounded Multi-View Wireless Prediction
WiSER introduces a transmitter-conditioned sparse 3D scene encoder queried by a ray-corridor decoder for radiomaps and a DETR-style set decoder for variable-cardinality CIR taps, trained on co-registered ScanNet++ and Sionna data.
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RadarTwin: Scene-Specific mmWave Radar Simulation and Learning for Mobile Indoor Perception
RadarTwin produces deployment-specific mmWave radar simulations from 3D models that enable real-object recognition at 2.5 times chance with zero real labels and 95.3% accuracy with few labels on a 12-way task.
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Robust Base Station Placement in Agricultural IoT via Bayesian Optimization
Formulates base-station placement as a maximin seasonal coverage problem and solves it via GPBO with ray-tracing, reporting 72.8% worst-case coverage for K=3 on a 1 km² farm.
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Autoencoder-Based CSI Compression for Beyond Wi-Fi 8 Coordinated Beamforming
Autoencoder CSI compression reduces channel sounding overhead by more than 50% versus standard IEEE 802.11 methods and improves throughput and latency in coordinated beamforming.