Muhammad Bilal Amin

Investigation of the underlying challenges for better channel prediction performance in FDD massive MIMO systems in a cooperative scenario. Development of UE-sided beamforming solutions to reduce the complexity of the prediction problem by proposing novel virtual beamforming algorithm, and novel schemes to artificially achieve super-directivity like effects by inducing similar effects as physical mutual coupling in virtual antennas and by novel UE-sided nonlinear processing scheme

Development of exercise material and solutions for information theory lectures at the chair.

Implementation refinement in a link level simulator written in C++ of interference cancellation approaches for control channels (PDCCH) in LTE. Implementation of new algorithms for inter-cell interference cancellation for the LTE data channel (PDSCH) in a link level simulator written in C++. Implementation in Matlab for frame error prediction methodologies for iterative receivers in system level simulations.

Worked on different mobile communication concepts and developed Matlab routines and GUIs for them so that future students at the department could understand these concepts in an easier and interactive way

Pre and post drive testing of cellular clusters for performance benchmarking and testing of new GSM EDGE sites.

Analysis and design of channel prediction and beamforming algorithms for 5G massive MIMO systems.