activity
20242026
collaborators

10 papers

eess.SP2026

Fast Tri-Hybrid Beamforming via Deep Unfolding

Pinjun Zheng, Md. Jahangir Hossain, Anas Chaaban

Tri-hybrid multiple-input multiple-output architectures have recently emerged as a promising enabler for next-generation wireless systems, as they potentially provide enhanced desi…

eess.SY2026

AdaPTwin: Adaptive Multi-Fidelity Predictive Digital Twin for Proactive Radio Resource Management in Vehicular Networks

Armin Makvandi, Md. Zoheb Hassan, Md. Jahangir Hossain

The highly dynamic nature of vehicular networks necessitates proactive and site-specific radio resource management (RRM) to achieve ultra-reliable low-latency communications. While…

eess.SY2026

Millimeter-Wave RIS: Hardware Design and System-Level Considerations

Ruiqi Wang, Pinjun Zheng, Yiming Yang +6

Reconfigurable intelligent surfaces have emerged as a promising hardware platform for shaping wireless propagation environments at millimeter-wave (mm-Wave) frequencies and beyond.…

eess.SP2025

Model-Free Channel Estimation for Massive MIMO: A Channel Charting-Inspired Approach

Pinjun Zheng, Md. Jahangir Hossain, Anas Chaaban

Channel estimation is fundamental to wireless communications, yet it becomes increasingly challenging in massive multiple-input multiple-output (MIMO) systems where base stations e…

eess.SP2025

Reconfigurable Antennas for Next-Generation Wireless Communications: Technologies, Prototypes, Architectures, and Signal Processing

Pinjun Zheng, Ruiqi Wang, Yuchen Zhang +4

The transition to sixth-generation (6G) networks calls for wireless transceivers with enhanced adaptability and efficiency. Reconfigurable antennas (RAs) have emerged as a promisin…

eess.SP2025

Tri-Hybrid Multi-User Precoding Based on Electromagnetically Reconfigurable Antennas

Pinjun Zheng, Yuchen Zhang, Tareq Y. Al-Naffouri +2

The tri-hybrid precoding architecture based on electromagnetically reconfigurable antennas (ERAs) is a promising solution for overcoming key limitations in multiple-input multiple-…