1 citations · 1 across the 5 of their papers we have counts for
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Deep learning based Channel Estimation and Beamforming in Movable Antenna Systems
Kaijun Feng, Ziwei Wan, Anwen Liao +5
Movable antenna (MA) has emerged as a promising technology for future wireless systems. Compared with traditional fixed-position antennas, MA improves system performance by antenna…
Transformer-based Hybrid Beamforming with Dynamic Subarray for Near-Space Airship-Borne Communications
Ruiqi Wang, Zhen Gao, Keke Ying +3
This paper proposes a hybrid beamforming framework for massive multiple-input multiple-output (MIMO) in near-space airship-borne communications. To achieve high energy efficiency (…
Movable Antenna for Integrating Near-field Channel Estimation and Localization
Chongjia Sun, Ziwei Wan, Lipeng Zhu +3
Movable antenna (MA) introduces a new degree of freedom for future wireless communication systems by enabling the adaptive adjustment of antenna positions. Its large-range movement…
The Road to Industry 4.0 and Beyond: A Communications-, Information-, and Operation Technology Collaboration Perspective
Ziwei Wan, Zhen Gao, Marco Di Renzo +1
The fourth industrial revolution, i.e., Industry 4.0, is evolving all around the globe. In this article, we introduce the landscape of Industry 4.0 and beyond empowered by the seam…
Terahertz Massive MIMO with Holographic Reconfigurable Intelligent Surfaces
Ziwei Wan, Zhen Gao, Feifei Gao +2
We propose a holographic version of a reconfigurable intelligent surface (RIS) and investigate its application to terahertz (THz) massive multiple-input multiple-output systems. Ca…
Compressive Sensing Based Channel Estimation for Millimeter-Wave Full-Dimensional MIMO with Lens-Array
Ziwei Wan, Zhen Gao, Byonghyo Shim +3
Channel estimation (CE) for millimeter-wave (mmWave) lens-array suffers from prohibitive training overhead, whereas the state-of-the-art solutions require an extra complicated radi…