A team of RHU computer and communications engineering alumni, consisting of Ms. Aline Hassan, Ms. Aya Sharanek, and Ms. Rayan Hamzeh, recently presented their innovative research project titled "Optimization of 5G Antenna Using Machine Learning" at the prestigious IEEE Middle East & North Africa Communications Conference MENACOMM 2025 Conference. The event took place on February 20, 2025, at the Lebanese American University (LAU) in Jbeil.
Their groundbreaking work, which merges advanced simulation tools with cutting-edge AI algorithms, has the potential to revolutionize 5G antenna design, enhancing efficiency, reliability, and development speed.
Under the guidance of former RHU Professor Dr. Dina Serhal and RHU Professor Dr. Rached Zantout, the team focused on two key areas, optimizing individual antenna elements and designing high-performance antenna arrays. Using CST Studio Suite, they generated a comprehensive dataset by simulating thousands of antenna configurations. The results were remarkable, optimized antennas displayed improved radiation patterns, higher gain, and enhanced overall efficiency, while the antenna arrays showed significant improvements in signal directionality and coverage.
This project not only underscores the transformative potential of machine learning in telecommunications but also highlights the talent and ingenuity of RHU graduates, moving us one step closer to realizing the full potential of 5G technology.
