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Author

Zhu Han

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2026

Multimodal Beam Prediction With Missing Modality Adaptability: A Contrastive Learning Approach

Multimodal beam prediction based on deep learning can significantly reduce the beam training overhead in millimeter-wave multiple-input multiple-output (MIMO) systems. However, the performance of existing multimodal approaches is often degraded by missing modalities, and their intricate modality fusion mechanisms typic...

Le-Bin Yao, Ke Ma, Yi-Liang Sang et al. · 0 citations
2026

Preambles for Massive Random Access: Kronecker-Product Structured Sequences and Low-Complexity Detection

To accommodate emerging technologies such as the Internet of Things and low-altitude economy, future wireless networks are expected to support millions of users (UEs) per square kilometer. Such massive connectivity imposes stringent requirements on the design of physical random access channel preambles, which are gener...

Fan Zhang, Yin-Xiao Zhuo, Han-Yu Liu et al. · 0 citations

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