College of Engineering, University of Wasit discussed a master dissertation on detecting and diagnosing of the performance of a multi-orthogonal frequency system based on a machine learning system by postgraduate student, Ms. Saja Salim Hanoun.
The dissertation aimed at studying the DL-based channel modulation equalizer to confront the limitations of zero-force modulation equations and MMSE. The performance of the SISO-based channel modulation equalizer is evaluated via using a single input-single output system that integrates orthogonal frequency multiplexing (OFDM) technology.
The dissertation highlighted that machine learning-based equalization methods do not need to independently estimate channel statistics, unlike traditional channel equalization and detection methods.
