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

2 citations · 3 across the 5 of their papers we have counts for

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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

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

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-…

eess.SP2025

Enhanced Beampattern Synthesis Using Electromagnetically Reconfigurable Antennas

Pinjun Zheng, Md. Jahangir Hossain, Anas Chaaban

Beampattern synthesis seeks to optimize array weights to shape radiation patterns, playing a critical role in various wireless applications. In addition to theoretical advancements…

eess.SP2024

From Centralized RAN to Open RAN: A Survey on the Evolution of Distributed Antenna Systems

Mahmoud A. Hasabelnaby, Mohanad Obeed, Mohammed Saif +2

Next-generation mobile networks require evolved radio access network (RAN) architectures to meet the demands of high capacity, massive connectivity, reduced costs, and energy effic…