English(EN) JEPA-Inspired Latent Field Prediction for Sparse-Pilot MIMO-OFDM Channel Reconstruction

受JEPA启发的模型以更高精度重建无线信道

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-28 04:00

研究人员开发了一种新的方法，受联合嵌入预测架构（JEPA）的启发，用于重建MIMO-OFDM系统中的无线信道状态信息（CSI）。该方法将CSI观测映射到潜在的时频令牌，预测未来或掩码的潜在状态，然后将这些预测与稀疏导频数据相结合来重建完整信道。实验表明，与传统的仅导频和直接重建技术相比，这种潜在场预测方法提供了更高的准确性。 AI

影响这项研究通过改进信道状态信息重建，可能带来更高效、更准确的无线通信系统。

排序理由该集群包含一篇详细介绍新信号处理方法的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]

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报道来源 [1]

arXiv cs.AI TIER_1 English(EN) · Yuzhi Yang, Brahim Mefgouda, Hang Zou, Lina Bariah, Anis Bara, Yuhuan Lu, Hao Zhang, Merouane Debbah · 2026-10-28 04:00

受JEPA启发的潜在场预测用于稀疏导频MIMO-OFDM信道重建

arXiv:2610.37391v1 Announce Type: cross Abstract: Accurate acquisition of full channel state information (CSI) is essential for multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) wireless systems, while dense pilot-based estimation incurs substa…

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报道来源 [1]

受JEPA启发的潜在场预测用于稀疏导频MIMO-OFDM信道重建

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