A Deep Neural Network Codebook Approach for Near-Field Nulling Control Beam Focusing

Exploring foci of: arXiv (Cornell University) A Deep Neural Network Codebook Approach for Near-Field Nulling Control Beam Focusing September 2025 • Mohammad Hossein Karimi, Yuanzhe Gong, Tho Le‐Ngoc This paper proposes a deep neural network (DNN) codebook approach for multi-user interference (MUI) mitigation in extremely large multiple-input multiple-output (XL-MIMO) systems operating in the near-field region. Unlike existing DNN-based nulling control beamforming (NCBF) methods that face scalability and complexity challenges, the proposed framework partitions the Fresnel region using correlation-based sampling and assigns a lightweight fully connected DNN model to each subsection. Each model is trained on bea… Open Article Page

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