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A block diagram showing the proposed solution for environment semantics-aided beam prediction task. As shown in the figure, the camera installed at the basestation captures real-time images of the wireless environment. We propose to first extract environment semantics (object masks, bounding boxes, etc.) from the RGB images. These extracted semantics can then be used to predict the optimal beam indices.

A block diagram showing the proposed solution for environment semantics-aided beam prediction task. As shown in the figure, the camera installed at the basestation captures real-time images of the wireless environment. We propose to first extract environment semantics (object masks, bounding boxes, etc.) from the RGB images. These extracted semantics can then be used to predict the optimal beam indices.

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Millimeter-wave (mmWave) and terahertz (THz) communication systems adopt large antenna arrays to ensure adequate receive signal power. However, adjusting the narrow beams of these antenna arrays typically incurs high beam training overhead that scales with the number of antennas. Recently proposed vision-aided beam prediction solutions, which utili...

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