Nineveh University’s Master Dissertation on Machine Learning-Assisted Signal Processing for Communication Systems

Ministry of Higher Education & Scientific Research

News of Universities

18-06-2025

College of Electronics Engineering, University of Nineveh discussed a master dissertation on machine learning-assisted signal processing for communication systems by the postgraduate student, Ms. Manar Talal Muhammad Ali,.

The dissertation aimed at applying self-interference cancellation (SIC) techniques based on machine learning to effectively mitigate the signal interference (SI) imposed by IBFD communications.

The dissertation proposed In-Band Full Duplex (IBFD) communication as a solution to multiply the capacity to manage spectral efficiency and improve throughput, especially in bandwidth-limited environments.

The dissertation concluded that machine learning-based SIC techniques demonstrated significant improvements in cancellation rates and spectral efficiency, leading to enhanced overall system performance compared to conventional techniques.