Deep learning optimizes pinching and movable antenna positions, precoding matrices, and sensing beamformer in an ISAC system to achieve higher sum-rates than fixed-antenna baselines under sensing constraints.
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DL-Driven Optimization for ISAC System Equipped With Pinching and Movable Antennas
Deep learning optimizes pinching and movable antenna positions, precoding matrices, and sensing beamformer in an ISAC system to achieve higher sum-rates than fixed-antenna baselines under sensing constraints.