collaborators

10 papers

eess.SP2025

Reconfigurable Antennas for 6G: 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

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…

cs.IT2025

Deep Complex-valued Neural-Network Modeling and Optimization of Stacked Intelligent Surfaces

Abdullah Zayat, Omran Abbas, Loic Markley +1

We propose a complex-valued neural-network (CV-NN) framework to optimally configure stacked intelligent surfaces (SIS) in next-generation multi-antenna systems. Unlike conventional…

eess.SP2025

Tri-Hybrid Multi-User Precoding Using Pattern-Reconfigurable Antennas: Fundamental Models and Practical Algorithms

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

The integration of pattern-reconfigurable antennas into hybrid multiple-input multiple-output (MIMO) architectures presents a promising path toward high-efficiency and low-cost tra…

eess.SP2025

Mutli-Level Autoencoder: Deep Learning Based Channel Coding and Modulation

Ahmad Abdel-Qader, Anas Chaaban, Mohamed S. Shehata

In this paper, we design a deep learning-based convolutional autoencoder for channel coding and modulation. The objective is to develop an adaptive scheme capable of operating at v…

eess.SP2025

A Statistical Evaluation of Coherence Time for Non-Terrestrial Communications

Pinjun Zheng, Anas Chaaban, Md. Jahangir Hossain +1

Non-terrestrial networks (NTNs) present significant challenges for reliable communication due to the dynamic nature of their channels. Studying channel coherence time is crucial, s…