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Related Articles from SNS
GNN-Enabled Robust Hybrid Beamforming with Score-Based CSI Generation and Denoising
arXiv:2511.06663v2 Announce Type: replace Abstract: Accurate Channel State Information (CSI) is critical for Hybrid Beamforming (HBF) tasks. However, obtaining high-resolution CSI remains challenging in practical wireless communication systems. To address this issue, we propose to utilize Graph Neural Networks (GNNs) and score-based generative models to enable robust HBF under imperfect CSI conditions.
Physics-Guided Attention in a Lightweight TCN for Efficient WiFi CSI-Based Human Activity Recognition
Announce Type: new Abstract: Human Action Recognition (HAR) using WiFi Channel State Information (CSI) has gained increasing attention due to its non-contact, low-cost, and privacy-preserving nature. However, existing learning-based approaches largely rely on deep, computationally intensive architectures to implicitly capture motion dynamics from CSI measurements, thereby increasing model complexity and reducing efficiency. Instead, we argue that incorporating appropriate inductive biases...
AI hyperscaler effect vaults China’s Zhongji Innolight to top of CSI 300 benchmark
AI hyperscaler effect vaults China’s Zhongji Innolight to top of CSI 300 benchmark Maker of optical modules surpasses CATL in weighting thanks to off-the-charts demand from Alphabet, Amazon, Meta and Huawei The northern Shandong province-based company had a 5 per cent weighting on the CSI 300 Index on Friday, making it the largest of the 300 most valuable stocks on the Shanghai and Shenzhen exchanges. The index’s weighting is based on the market capitalisation of free-float shares. The...
CSI Phase Averaging for High-Sensitivity Wi-Fi Sensing in Low-Multipath Environments
arXiv:2606.07347v1 Announce Type: cross Abstract: This paper presents a low-complexity motion detection method for outdoor Wi-Fi sensing based on a model-driven approach. The method exploits the structural characteristics of the phase components in channel state information (CSI) for low-multipath propagation environments, which are generally considered disadvantageous for Wi-Fi sensing, to mitigate the phase offset errors originating from wireless devices. In addition, phase averaging...
ReFLEX: Length-Generalizable CSI Denoising for MIMO-OFDM via Relative-Frequency Bias
arXiv:2606.00263v1 Announce Type: cross Abstract: This letter studies CSI denoising for MIMO--OFDM with variable NR resource block (RB) allocations. ReFLEX is a length-generalizable Transformer whose frequency attention uses a relative-frequency position bias (RFPB) generated from subcarrier offsets. A single checkpoint handles unseen RB lengths and can be applied to sparse DM-RS observations in the tested RB5/
Towards Cybersecurity SuperIntelligence (CSI): What's the best harness for cybersecurity?
arXiv:2605.28334v2 Announce Type: replace Abstract: What is the best harness for cybersecurity AI? Cybersecurity systems are converging on a single execution scaffold per agent, an iterative shell loop driven by a Large Language Model (LLM). However, scaffolds are not interchangeable, rarely interoperable, and no single scaffold dominates across all challenge types.
LangRetrieval: Language-Guided Self-Evolving Satellite-to-Radar Retrieval via CSI-Driven Reward
arXiv:2606.09486v1 Announce Type: new Abstract: Satellite-to-radar (S2R) retrieval estimates ground radar precipitation from geostationary satellite observations, providing a critical solution for precipitation monitoring in radar-sparse regions. However, S2R retrieval is intrinsically ill-posed: similar cloud-top radiances can correspond to distinct precipitation regimes, storm organizations, and surface intensities, which are difficult to uniquely determine the underlying meteorological...