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Post Date: 2025-02-19
Last Browse: 2025-04-12
The Assistant Professor Dr. Anas Latif Mahmoud, from the Department of Drone Engineering, College of
Engineering, Al-Nahrain University, published a joint research with the
master’s student (Yassin Ayman Muhammad) from the Department of
Electronic and Communications Engineering, College of Engineering, Al-Nahrain
University. The research was entitled: At the global conference 2024 IEEE
16th International Conference on Computational Intelligence and Communication
Networks (CICN) Held in
India and published by IEEE and indexed in Scopus. Hybrid beam forming is a promising solution to
reduce the complexity and cost of Massive MIMO systems, while maintaining high
data rates comparable to digital beamforming. This research aims to develop a
hybrid beamforming algorithm for multi-user Massive MIMO systems. The algorithm
is designed to improve spectral efficiency and reduce computation time by using
discrete phase shifters in the RF chains instead of continuous ones, which
reduces system costs. The methodology involves conducting a literature review
of existing algorithms for hybrid beamforming, then deriving a new algorithm,
and finally applying it to numerical experiments to evaluate its performance
compared to existing algorithms in terms of spectral efficiency and computation
time. The results
show that the proposed algorithm outperforms state-of-the-art algorithms,
achieving higher spectral efficiency and significantly lower computational
requirements. Search link in IEEE Xplore https://ieeexplore.ieee.org/document/10847512 Lecturer
CV Link:
A Modified Orthogonalization Minimization Algorithm for Millimeter
Massive MIMO Communications