As part of University of Ninevah’s ongoing efforts to strengthen scientific cooperation agreements and twinning programs with public and private universities, and to support high-quality academic publishing in partnership with international scholars, a joint research paper has been published by:
• Dr. Ali Othman Mohammed (Assistant Professor) – College of Electronics Engineering / University of Ninevah
• Professor Dr. Hussein Muzaffar Al-Razzou – University of Arkansas at Little Rock
• Dr. Yahya Taher Qasim – Al-Noor University
The paper was published in a globally recognized journal ranked within the first quartile (Q1), a classification that reflects the highest standards of quality and scientific impact in academic publishing.
The study introduces an innovative beamforming algorithm for MU-MIMO systems based on Multi-Agent Reinforcement Learning (MARL) techniques. The proposed approach demonstrated a significant improvement in the efficiency and performance of next-generation wireless communication systems.
The proposed system consists of two base stations, each equipped with a Uniform Rectangular Array (URA) of directional antennas. Each station employs reinforcement learning algorithms to generate optimal beamforming patterns that maximize the Signal-to-Interference-plus-Noise Ratio (SINR) for each user. Moreover, these algorithms operate cooperatively between base stations to mitigate interference and ensure efficient utilization of spectral resources.
This achievement reflects the outcome of joint research collaboration between Iraqi universities and their international counterparts, contributing to strengthening the scientific presence of the University of Nineveh and consolidating its position in the fields of communications and advanced wireless networking technologies. It also supports the University’s strategic orientation toward producing impactful scientific knowledge that serves contemporary technological advancement.
