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intelligence (e.g., reinforcement learning for scheduling, congestion control, link adaptation, and cross-layer optimization). The exact research direction will be refined based on the candidate’s background and
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) Radio/physical-layer intelligence (e.g., channel estimation, CSI prediction, edge-deployable deep learning), or ii) Networking and control-plane intelligence (e.g., reinforcement learning for scheduling
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