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This paper presents Agentic-LTPO, a nested bilevel optimization framework that uses agentic AI to adapt physical layer configurations under dynamic operator policies, achieving 57.2% long-term performance improvement in cell-free MIMO beamforming.
This paper proposes TONIC, a token-centric semantic communication framework for task-oriented wireless systems that assigns utility-aware unequal error protection to tokens and uses confidence-aware gating with a Transformer-based completion model, outperforming baselines on image classification.