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Haifan Yin (尹海帆)

Ph.D. / Professor

MCSP Lab, School of Electronic Information and Communications, Huazhong University of Science and Technology.

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Research Areas

Rydberg Atomic ReceiverMassive MIMOReconfigurable Intelligent SurfaceSuperdirective Antenna ArrayChannel PredictionHolographic & Metasurface Antennas

Profiles

yin@hust.edu.cnIEEE XploreGoogle ScholarChinese Site
© 2026 Haifan Yin. All rights reserved.HUST, Wuhan, China
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Research

Exploring the frontiers of wireless communications and signal processing

Rydberg Atomic Receiver

Rydberg Atomic Receiver

2026

Rydberg atomic receivers (RAREs) represent a paradigm shift from classical RF receivers to quantum-sensing-based receivers. By exploiting the giant electric dipole moments of highly excited Rydberg atoms, RAREs can sense electromagnetic fields with extraordinary sensitivity while being inherently immune to thermal noise. Our research pioneers the integration of Rydberg atomic receivers into wireless communication and sensing from a signal processing perspective. We have proposed Rydberg-atom-based superdirective receiver arrays that overcome the white noise sensitivity and mutual coupling limitations plaguing conventional compact arrays, achieving superdirectivity gains in a fundamentally new architecture. We have also developed imaging-based spectral estimation (ISE) methods that enable multi-target Direction-of-Arrival (DoA) estimation using only a single Rydberg vapor cell, transforming the spatially-resolved fluorescence profile into a spectral estimation problem solvable by Prony's method. These works open new avenues for holographic MIMO, continuous-aperture quantum sensing, and next-generation 6G receiver architectures.

Technical Blogs (1)
Massive MIMO

Massive MIMO

2022–2025

Massive MIMO is one of the key enablers of the 5G cellular systems. Compared to traditional MIMO with fewer base station antennas, massive MIMO can offer unprecedented spectral efficiency gains. Despite the technology hype and great expectations, some of the latest field trials have unfortunately been disappointing when it comes to actual system performance in mobility scenarios. It was observed that moderate-mobility at 30 km/h leads to as much as 50% performance reduction versus low-mobility at 3 km/h.

Reconfigurable Intelligent Surface

Reconfigurable Intelligent Surface

2022–2026

RIS is an emerging technology for 6G wireless networks that can smartly reconfigure the wireless propagation environment. Our lab has been at the forefront of RIS research, conducting real-world prototyping and field trials. We have built one of the world's first RIS prototypes and demonstrated its performance in both indoor and outdoor environments. Our work on RIS-aided communications received the 2024 Stephen O. Rice Prize and the IEEE ComSoc Best Readings on RIS.

Superdirective Antenna Array

Superdirective Antenna Array

2022–2026

Superdirective antenna arrays can achieve directivity far beyond the conventional limit through careful control of element coupling and excitation. Our research pioneers coupling matrix-based beamforming methods for superdirective arrays, addressing practical challenges such as excitation power constraints and sensitivity. We have achieved M² directivity in compact arrays and demonstrated multi-user communication gains through superdirectivity-enhanced beamforming.

Channel Prediction

Channel Prediction

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Accurate channel prediction is essential for realizing the full potential of massive MIMO in mobile environments. Our work spans from angular-delay domain channel prediction using Prony-based methods, to spatio-temporal neural network approaches, to near-field channel prediction based on wavefront transformation for extremely large antenna arrays. We address both far-field and near-field scenarios with mobility.

Holographic & Metasurface Antennas

Holographic & Metasurface Antennas

2026

Holographic interference surfaces (HIS) and dynamic metasurface antennas (DMA) represent a new paradigm in antenna design, enabling continuous aperture reconfiguration for beamforming and channel sensing. Our research covers channel sensing methods based on the principle of interferometry, quantum genetic interference mitigation algorithms for DMA, and active transmissive RIS prototyping with field trials.