FRUC enables one-shot calibration-free dynamic scene reconstruction from collaborative driving views via a geometric Transformer, ego-centric occlusion priors, and zero-initialized residual denoising, claiming SOTA quality and speed on V2XReal and UrbanIng-V2X.
Genera- tive Diffusion Models for Radio Wireless Channel Modelling and Sampling
7 Pith papers cite this work. Polarity classification is still indexing.
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ORBGRAND-AI achieves the same or lower block error rate in ISI channels without interleaving compared to CA-SCL decoding with an interleaver at equal energy per information bit.
V2XCrafter introduces a progressive multi-agent diffusion model with cross-agent attention to generate controllable, consistent collaborative driving scenes for V2X data augmentation.
CITYMPC, a cVAE model, predicts full per-path multipath component parameters from POV images and height maps alone, matching ray-tracing accuracy with 1.29 dB power MAE and 7.25 ns delay MAE across 427k links in five cities while releasing the dataset as a benchmark.
Introduces aggregated gigaflops as an iterative diffusive metric for distributed task partitioning in UAV swarms, with early-exit adaptation, claiming better latency, throughput, fairness, and energy use than baselines in simulations.
The report assembles abstracts of invited talks, presentations, and posters from the FFCS conference on foundational limits and emerging paradigms in communication.
citing papers explorer
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FRUC: Feedforward Dynamic Scene Reconstruction from Uncalibrated Collaborative Driving Views
FRUC enables one-shot calibration-free dynamic scene reconstruction from collaborative driving views via a geometric Transformer, ego-centric occlusion priors, and zero-initialized residual denoising, claiming SOTA quality and speed on V2XReal and UrbanIng-V2X.
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Decoding in the presence of ISI without interleaving -- ORBGRAND-AI
ORBGRAND-AI achieves the same or lower block error rate in ISI channels without interleaving compared to CA-SCL decoding with an interleaver at equal energy per information bit.
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V2XCrafter: Learning to Generate Driving Scene Across Agents
V2XCrafter introduces a progressive multi-agent diffusion model with cross-agent attention to generate controllable, consistent collaborative driving scenes for V2X data augmentation.
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CITYMPC: A Large-Scale Physics-Informed Benchmark and Tool for Generative Complete Multipath Wireless Channel Modeling
CITYMPC, a cVAE model, predicts full per-path multipath component parameters from POV images and height maps alone, matching ray-tracing accuracy with 1.29 dB power MAE and 7.25 ns delay MAE across 427k links in five cities while releasing the dataset as a benchmark.
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Distributed Split Computing Using Diffusive Metrics for UAV Swarms
Introduces aggregated gigaflops as an iterative diffusive metric for distributed task partitioning in UAV swarms, with early-exit adaptation, claiming better latency, throughput, fairness, and energy use than baselines in simulations.
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Foundations of Future Communication Systems: Innovations in Communication - A Report
The report assembles abstracts of invited talks, presentations, and posters from the FFCS conference on foundational limits and emerging paradigms in communication.
- Comprehensive Review of Doppler Shift Localization Methods: Advances, Limitations, and Research Opportunities