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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. TOOL · arXiv cs.LG English(EN) ·

    Explainable Runtime Dependency Tracking for AI-RAN Conflict Monitoring

    Researchers have developed a new method for monitoring dependencies in AI-integrated Radio Access Networks (AI-RAN). This system tracks interpretable dependency representations from telemetry events to detect conflicts. Experiments show the method is efficient and accurate even with noise, providing a signal for conflict diagnosis and model updates. AI

    IMPACT Introduces a novel monitoring primitive for AI-RANs, potentially improving network stability and performance.

  2. RESEARCH · arXiv cs.AI English(EN) · · [2 sources]

    Practical Cross-Band Channel Prediction for AI-RAN via Physics-Guided Deep Unfolding

    Researchers have developed GUIDE, a novel physics-guided deep unfolding framework for AI-native Radio Access Networks (AI-RAN). This framework embeds wireless channel physics into differentiable layers, enabling practical cross-band channel prediction. GUIDE demonstrates superior performance, achieving significant beamforming gains over existing deep learning and model-based baselines while maintaining real-time inference capabilities. AI

    IMPACT Enhances AI-RAN efficiency by enabling practical, real-time cross-band channel prediction, potentially improving wireless network performance.