3 citations · 3 across the 4 of their papers we have counts for
6 papers
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).…
Optimal Denial-of-Service Attacks Against Status Updating
Saad Kriouile, Mohamad Assaad, Deniz Gündüz +1
In this paper, we investigate denial-of-service attacks against status updating. The target system is modeled by a Markov chain and an unreliable wireless channel, and the performa…
On the Age of Information of Processor Sharing Systems
Beñat Gandarias, Josu Doncel, Mohamad Assaad
In this paper, we examine the Age of Information (AoI) of a source sending status updates to a monitor through a queue operating under the Processor Sharing (PS) discipline. In the…
Initial Access Optimization for RIS-assisted Millimeter Wave Wireless Networks
Charbel Bou Chaaya, Mohamad Assaad, Tijani Chahed
Reconfigurable Intelligent Surfaces (RIS) are considered a key enabler to achieve the vision of Smart Radio Environments, where the propagation environment can be programmed and co…
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…