An ε-DP stochastic quantizer applied to Givens rotation and phase angles in 802.11 CSI feedback provides privacy against activity signatures while preserving beamforming performance.
Goldsmith,Wireless Communications
5 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 5representative citing papers
An NP-based detector jointly using deterministic sensing and Gaussian information signals in UAV ISAC improves worst-case detection probability while meeting SINR constraints via SDR and SCA beamforming.
A first-principles wave-optical model for quantum MIMO channels in turbulent FSO links that accounts for intermodal crosstalk and reduces to a correlated n-qubit erasure channel.
A federated spatiotemporal graph model detects passive attacks in smart grids at 98.32% per-timestep accuracy on a synthetic heterogeneous dataset using ego-centric graph convolutions and bidirectional GRUs.
Introduces a null-space diffusion sampling method for training-free multi-user generative semantic communications in OFDMA systems.
citing papers explorer
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Protecting Human Activity Signatures in Compressed IEEE 802.11 CSI Feedback
An ε-DP stochastic quantizer applied to Givens rotation and phase angles in 802.11 CSI feedback provides privacy against activity signatures while preserving beamforming performance.
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Integrated Sensing and Communications for Low-Altitude Economy with Deterministic Sensing and Gaussian Information Signals
An NP-based detector jointly using deterministic sensing and Gaussian information signals in UAV ISAC improves worst-case detection probability while meeting SINR constraints via SDR and SCA beamforming.
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Quantum MIMO Channel Modeling in Turbulent Free-Space Optical Links
A first-principles wave-optical model for quantum MIMO channels in turbulent FSO links that accounts for intermodal crosstalk and reduces to a correlated n-qubit erasure channel.
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Federated Spatiotemporal Graph Learning for Passive Attack Detection in Smart Grids
A federated spatiotemporal graph model detects passive attacks in smart grids at 98.32% per-timestep accuracy on a synthetic heterogeneous dataset using ego-centric graph convolutions and bidirectional GRUs.
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Training-Free Multi-User Generative Semantic Communications via Null-Space Diffusion Sampling
Introduces a null-space diffusion sampling method for training-free multi-user generative semantic communications in OFDMA systems.