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Predictive Beamforming via Echo-Beam Modality Separation with Cross-Attention for ISAC Systems
In this paper, we propose a deep learning-based predictive beamforming algorithm for integrated sensing and communications in vehicle-to-infrastructure networks, where echo signals are leveraged to enhance communication performance. We formulate a sum spectral efficiency maximization problem under a
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