Date of Graduation

12-2025

Document Type

Thesis

Degree Name

Master of Science in Electrical Engineering (MSEE)

Degree Level

Graduate

Department

Electrical Engineering

Advisor/Mentor

McCann, Roy

Committee Member

Naseem, Hameed

Second Committee Member

Wu, Jingxian

Keywords

adaptive beam steering control system; closed-loop control framework; communication systems

Abstract

This thesis demonstrates the design, development, and validation of a full-scale adaptive beam steering control system of a small-scale 5G antenna array, designed and thoroughly evaluated with MATLAB Simulink. Overcoming the significant challenge of establishing strong wireless links in dynamic environments, the new system uses a new closed-loop control framework that can automatically detect the signal sources and automatically change the beam direction in real-time. The use of the adaptation is necessary to combat tracking errors that are caused by the mobility of the mobile users, environmental variations, as well as channel estimation errors, widespread in future wireless communication systems. Simulation outcome proves the superior performance of the system in ideal conditions with ideal tracking accuracy as well as best possible reception of signals. Of particular importance, the system displays high stability as well as robustness in realistic as well as unfriendly conditions such as dynamic Angle of Arrival (AoA) variations, higher estimation inaccuracies, as well as high-rapid direction variations. The system always maintained high received power as well as low tracking errors, even under unfriendly conditions, illustrating graceful as well as controlled degradation and not catastrophic failure. The inherent scalability of the beamforming algorithms was also proved with varied antenna array configurations, demonstrating consistent behavior. This simulation enabled approach offers valuable system behavior insights, with the potential to form a sturdy verification platform of complex adaptive control strategies before hardware execution. The study findings highlight the overriding effectiveness of the adaptive beam steering to achieve the best possible signal-to-noise ratio as well as track errors minimization, making this study a valuable development towards the creation of efficient and effective 5G and beyond wireless communication systems.

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