Lightweight and flexible deep equilibrium learning for CSI feedback in FDD massive MIMO

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Low-Complexity CSI Feedback for FDD Massive MIMO Systems via Learning to Optimize

Y Ma, H He, S Song, J Zhang… - IEEE Transactions on …, 2025 - ieeexplore.ieee.org
In frequency-division duplex (FDD) massive multiple-input multiple-output (MIMO) systems,
the growing number of base station antennas leads to prohibitive feedback overhead for …
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AI and Deep Learning for THz Ultra-Massive MIMO: From Model-Driven Approaches to Foundation Models

W Yu, H He, S Song, J Zhang, L Dai, L Zheng… - arxiv preprint arxiv …, 2024 - arxiv.org
In this paper, we explore the potential of artificial intelligence (AI) to address the challenges
posed by terahertz ultra-massive multiple-input multiple-output (THz UM-MIMO) systems. We …
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Deep Learning for Low-Complexity and Flexible CSI Feedback

Y Ma - 2024 - search.proquest.com
For future sixth-generation (6G) wireless communication networks, extremely large-scale
multiple-input multiple-output (XL-MIMO) is considered as a critical technological …
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