Bayes-Optimal Unsupervised Learning for Channel Estimation in Near-Field Holographic MIMO
Holographic MIMO (HMIMO) is being increasingly recognized as a key enabling technology
for 6G wireless systems through the deployment of an extremely large number of antennas …
for 6G wireless systems through the deployment of an extremely large number of antennas …
AI and Deep Learning for THz Ultra-Massive MIMO: From Model-Driven Approaches to Foundation Models
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 …
posed by terahertz ultra-massive multiple-input multiple-output (THz UM-MIMO) systems. We …
Reconfigurable Holographic Surface: A New Paradigm for Ultra-Massive MIMO
Evolving from massive multiple-input multiple-output (MIMO) in current 5G communications,
ultra-massive MIMO emerges as a seminal technology for fulfilling more stringent …
ultra-massive MIMO emerges as a seminal technology for fulfilling more stringent …
Neural Network-Assisted Hybrid Model Based Message Passing for Parametric Holographic MIMO Near Field Channel Estimation
Z Yuan, Y Guo, D Gao, Q Guo, Z Wang… - arxiv preprint arxiv …, 2024 - arxiv.org
Holographic multiple-input and multiple-output (HMIMO) is a promising technology with the
potential to achieve high energy and spectral efficiencies, enhance system capacity and …
potential to achieve high energy and spectral efficiencies, enhance system capacity and …