ILCP transfers 128-byte compressed latent context during RAN handovers, achieving 0% ping-pong handovers and +5.1 pp average post-HO accuracy gains versus baselines on Vienna drive-test data.
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Sionna: An Open-Source Library for Next-Generation Physical Layer Research
14 Pith papers cite this work. Polarity classification is still indexing.
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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.
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.
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.
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.
An open integration of vehicular mobility, Sionna ray tracing, and ns-3 produces realistic cross-layer datasets for vehicular wireless networks and is released with code and example data.
citing papers explorer
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Inductive Latent Context Persistence: Closing the Post-Handover Cold Start in 6G Radio Access Networks
ILCP transfers 128-byte compressed latent context during RAN handovers, achieving 0% ping-pong handovers and +5.1 pp average post-HO accuracy gains versus baselines on Vienna drive-test data.
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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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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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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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Advancing Network Digital Twin Framework for Generating Realistic Datasets
An open integration of vehicular mobility, Sionna ray tracing, and ns-3 produces realistic cross-layer datasets for vehicular wireless networks and is released with code and example data.