College of Engineering, University of Kufa discussed a master dissertation on a study entitled "Performance Analysis of the Smart Reflective Surface for 6G Networks" by the postgraduate student, Ms. Zainab Ali Karam.

The dissertation aimed at studying the performance of communication systems supported by the smart reflective surface (IRS) in 6G networks.

The dissertation reviewed on channel estimation in single-user input and output (MISO) systems, with spatially correlated channels, proposing the use of deep learning (DL) to estimate direct and sequential channels and neural network was also designed to detect the channel response and maximize the possible capacity of the downlink via joint optimization of beamforming and phase modification in the smart reflective surface.

The dissertation highlighted that the superiority of the deep learning-based channel estimation technique over traditional methods, with noticeable performance gains across different levels of signal-to-noise ratio (SNR) and achieving high transmission capacity even at low SNRs.