107 citations · 325 across the 28 of their papers we have counts for
35 papers
Information Bottleneck under Perfect Privacy
Junle Zhong, Mohamad Assaad, Sreejith Sreekumar
In this work, we study the information bottleneck under perfect privacy, with particular emphasis on the active-rate regime, where the representation-rate constraint is binding and…
Inter-RIS Beam Focusing Codebook Design in Cooperative Distributed RIS Systems
Youssef Hussein, Mohamad Assaad, Thierry Clessienne
This paper explores distributed Reconfigurable Intelligent Surfaces (RISs) by introducing a cooperative dimension that enhances adaptability and performance. It focuses on strategi…
Communication and Energy Efficient Federated Learning using Zero-Order Optimization Technique
Elissa Mhanna, Mohamad Assaad
Federated learning (FL) is a popular machine learning technique that enables multiple users to collaboratively train a model while maintaining the user data privacy. A significant…
Massive MIMO CSI Feedback using Channel Prediction: How to Avoid Machine Learning at UE?
Muhammad Karam Shehzad, Luca Rose, Mohamad Assaad
In the literature, machine learning (ML) has been implemented at the base station (BS) and user equipment (UE) to improve the precision of downlink channel state information (CSI).…
Design of an Efficient CSI Feedback Mechanism in Massive MIMO Systems: A Machine Learning Approach using Empirical Data
Muhammad Karam Shehzad, Luca Rose, Stefan Wesemann +2
Massive multiple-input multiple-output (mMIMO) regime reaps the benefits of spatial diversity and multiplexing gains, subject to precise channel state information (CSI) acquisition…
Real-Time Massive MIMO Channel Prediction: A Combination of Deep Learning and NeuralProphet
Muhammad Karam Shehzad, Luca Rose, Muhammad Furqan Azam +1
Channel state information (CSI) is of pivotal importance as it enables wireless systems to adapt transmission parameters more accurately, thus improving the system's overall perfor…