Spatial Attention and Quantization based Contrastive Learning Framework for mmWave Massive MIMO Beam Training

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Haohui Jia, Taisei Urakami, Na Chen, Hui Gao, Minoru Okada

Published: 03 Mar 2023, Last Modified: 29 Jan 2026CrossrefEveryoneRevisionsCC BY-SA 4.0
Abstract: Identifying the optimal beam is a major challenge in millimeter wave (mmWave) wireless communication systems, considering the impacts of noise and training overhead for processing massive multiple-input multiple-output (MIMO) channel streams. To address these challenges, the conventional schemes ...