AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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The results show that compact BS-side CFR descriptors provide more discriminative information than the available scalar BS-side SNR while remaining suitable for lightweight SDR implementation.
This paper presents a novel dual- factor approach that integrates travel time estimation and radio resource availability into an innovative route-planning scheme for connected vehicles (CVs) and shows that AGDRP outperforms the baseline scheme, which solely focuses on travel time optimization.
A reinforcement learning (RL)-driven control framework that operates over a bank of pretrained multi-rate AEs, each corresponding to a distinct compression ratio (CR), aiming to dynamically optimize the trade-off between reconstruction fidelity and signaling overhead.
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