BiSplat-WRF applies 2D planar Gaussians rendered on angular domains plus a bilinear spatial transformer to capture electromagnetic interactions, outperforming prior NeRF and GS methods on SSIM for wireless radiance field reconstruction.
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Sionna: An open-source library for next-generation physical layer research
19 Pith papers cite this work. Polarity classification is still indexing.
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An LLM-powered agentic framework autonomously designs competitive and sometimes superior explainable algorithms for wireless PHY and MAC layer tasks.
A Conditional Diffusion Transformer recovers full MIMO-OFDM channels from sparse noisy pilots, delivering over 5 dB gain versus baselines even at 1/32 pilot density and completing inference in 10 steps.
A self-supervised multimodal alignment step plus equivariant GNN-based MARL yields over twofold sensing accuracy and 50% performance gains in decentralized V2I rate maximization.
Telecom World Models introduce a three-layer architecture for learned, action-conditioned, uncertainty-aware modeling of 6G network dynamics, combining digital twins and foundation models, with a network slicing proof-of-concept showing improved KPI prediction over baselines.
Proposes Topological Resilience Index (TRI) via persistent homology to quantify resilience of deep learning OFDM receivers to channel shifts, claiming superior warning lead and BER reduction in simulations across ITU-R transitions.
Plan2Cleanse frames RL backdoor detection as a Monte Carlo planning problem to achieve over 61 percentage point gains in trigger detection and improved win rates in competitive environments.
A submodular optimization algorithm called IA-SPA with realistic ray-tracing on urban 3D maps achieves approximately 2x mean data rate and 2-8x edge rate gains over existing base station placements.
Diffusion-OAMP combines a pre-trained diffusion model with the OAMP algorithm under an SNR-matching rule to enable training-free reconstruction of compressed images transmitted over noisy wireless channels.
A joint clustering and prediction method for QoS distributions in vehicular cellular networks reduces mean absolute error by 9-27% compared to local or global baselines by adapting clusters to network changes.
SP-CCI augments conformal calibration sets with synthetic counterfactual labels and uses RCPS with PPI debiasing to achieve tighter prediction intervals while preserving marginal coverage guarantees.
A CNN modulator jointly trained with a neural receiver spreads information across local time-frequency neighborhoods in OFDM, breaking QAM rotational symmetry to support sparse or zero pilots under high Doppler.
Wireless data lacks the self-contained tokenized substrate of text, so monolithic wireless world models are unsuitable for 6G; composable agentic systems using specialized components and explicit interfaces are the realistic alternative.
A meta-reinforcement learning agent achieves 80.1% success in localizing RF emitters by sequentially sensing the environment with a 2x2 patch antenna in Sionna ray-tracing simulations.
M-CVST aligns video context with MIMO subcarriers via a correlation map and applies recursive time-correlated sampling to boost semantic video performance over multi-path channels.
A differentially private equilibrium-seeking algorithm for OTA MIMO-based energy sharing protects prosumers' private data while converging to near-optimal solutions with quantified accuracy loss.
citing papers explorer
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Planar Gaussian Splatting with Bilinear Spatial Transformer for Wireless Radiance Field Reconstruction
BiSplat-WRF applies 2D planar Gaussians rendered on angular domains plus a bilinear spatial transformer to capture electromagnetic interactions, outperforming prior NeRF and GS methods on SSIM for wireless radiance field reconstruction.
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The AI Telco Engineer: Toward Autonomous Discovery of Wireless Communications Algorithms
An LLM-powered agentic framework autonomously designs competitive and sometimes superior explainable algorithms for wireless PHY and MAC layer tasks.
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Diffusion Inpainting MIMO-OFDM Channels with Limited Noisy Observations
A Conditional Diffusion Transformer recovers full MIMO-OFDM channels from sparse noisy pilots, delivering over 5 dB gain versus baselines even at 1/32 pilot density and completing inference in 10 steps.
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Equivariant Multi-agent Reinforcement Learning for Multimodal Vehicle-to-Infrastructure Systems
A self-supervised multimodal alignment step plus equivariant GNN-based MARL yields over twofold sensing accuracy and 50% performance gains in decentralized V2I rate maximization.
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Telecom World Models: Unifying Digital Twins, Foundation Models, and Predictive Planning for 6G
Telecom World Models introduce a three-layer architecture for learned, action-conditioned, uncertainty-aware modeling of 6G network dynamics, combining digital twins and foundation models, with a network slicing proof-of-concept showing improved KPI prediction over baselines.
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Resilience Characterization of AI-Native Wireless Receivers via Persistent Homology
Proposes Topological Resilience Index (TRI) via persistent homology to quantify resilience of deep learning OFDM receivers to channel shifts, claiming superior warning lead and BER reduction in simulations across ITU-R transitions.
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Plan2Cleanse: Test-Time Backdoor Defense via Monte-Carlo Planning in Deep Reinforcement Learning
Plan2Cleanse frames RL backdoor detection as a Monte Carlo planning problem to achieve over 61 percentage point gains in trigger detection and improved win rates in competitive environments.
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Optimal Transmitter Placement in Realistic Urban Environments
A submodular optimization algorithm called IA-SPA with realistic ray-tracing on urban 3D maps achieves approximately 2x mean data rate and 2-8x edge rate gains over existing base station placements.
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Diffusion-OAMP for Joint Image Compression and Wireless Transmission
Diffusion-OAMP combines a pre-trained diffusion model with the OAMP algorithm under an SNR-matching rule to enable training-free reconstruction of compressed images transmitted over noisy wireless channels.
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Joint Clustering and Prediction of the Quality of Service in Vehicular Cellular Networks
A joint clustering and prediction method for QoS distributions in vehicular cellular networks reduces mean absolute error by 9-27% compared to local or global baselines by adapting clusters to network changes.
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Synthetic Counterfactual Labels for Efficient Conformal Counterfactual Inference
SP-CCI augments conformal calibration sets with synthetic counterfactual labels and uses RCPS with PPI debiasing to achieve tighter prediction intervals while preserving marginal coverage guarantees.
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Deep-OFDM: Neural Modulation for High Mobility
A CNN modulator jointly trained with a neural receiver spreads information across local time-frequency neighborhoods in OFDM, breaking QAM rotational symmetry to support sparse or zero pilots under high Doppler.
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Against the Monolithic Wireless World Model: Why NextG Needs Composable and Agentic Intelligence
Wireless data lacks the self-contained tokenized substrate of text, so monolithic wireless world models are unsuitable for 6G; composable agentic systems using specialized components and explicit interfaces are the realistic alternative.
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Active Sensing with Meta-Reinforcement Learning for Emitter Localization from RF Observations
A meta-reinforcement learning agent achieves 80.1% success in localizing RF emitters by sequentially sensing the environment with a 2x2 patch antenna in Sionna ray-tracing simulations.
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Contextual Wireless Video Semantic Communication in MIMO-OFDM Systems
M-CVST aligns video context with MIMO subcarriers via a correlation map and applies recursive time-correlated sampling to boost semantic video performance over multi-path channels.
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Mechanism and Communication Co-Design for Differentially Private Energy Sharing
A differentially private equilibrium-seeking algorithm for OTA MIMO-based energy sharing protects prosumers' private data while converging to near-optimal solutions with quantified accuracy loss.
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