105 citations · 190 across the 9 of their papers we have counts for
11 papers
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…
Artificial Intelligence for 6G Networks: Technology Advancement and Standardization
Muhammad K. Shehzad, Luca Rose, M. Majid Butt +3
With the deployment of 5G networks, standards organizations have started working on the design phase for sixth-generation (6G) networks. 6G networks will be immensely complex, requ…
A Novel Algorithm to Report CSI in MIMO-Based Wireless Networks
Muhammad Karam Shehzad, Luca Rose, Mohamad Assaad
In wireless communication, accurate channel state information (CSI) is of pivotal importance. In practice, due to processing and feedback delays, estimated CSI can be outdated, whi…
Dealing with CSI Compression to Reduce Losses and Overhead: An Artificial Intelligence Approach
Muhammad Karam Shehzad, Luca Rose, Mohamad Assaad
Motivated by the issue of inaccurate channel state information (CSI) at the base station (BS), which is commonly due to feedback/processing delays and compression problems, in this…
Uplink Beam Management for Millimeter Wave Cellular MIMO Systems with Hybrid Beamforming
George C. Alexandropoulos, Ioanna Vinieratou, Mattia Rebato +2
Hybrid analog and digital BeamForming (HBF) is one of the enabling transceiver technologies for millimeter Wave (mmWave) Multiple Input Multiple Output (MIMO) systems. This technol…