The teaching assistant in the Department of Intelligent Medical Systems, M.Sc. Reyam Thaer Ahmed, published the research titled "Enhancement of BER of LTE System by Using DCT-Neural Network in Different Channel Models" in the journal Mathematical Modelling of Engineering Problems by IIETA Publishing, indexed in Scopus.
This research aims to improve the Bit Error Rate (BER) of LTE systems by employing the Discrete Cosine Transform (DCT) and Feed Forward Neural Network (FFNN) techniques in various channel models, thereby enhancing the efficiency of wireless communications and increasing data transmission speed.
Research Link: https://doi.org/10.18280/mmep.110115