With the ever-increasing deman‎d for high data rates in next-generation communication networks, advanced technologies such as massive multiple-input multiple-output (MIMO) systems operating in the millimeter-wave (mmWave) ban‎d have emerged as promising solutions to enhance spectral efficiency an‎d network capacity. However, utilizing high-frequency ban‎ds leads to severe signal attenuation an‎d a reduced communication range. To address this challenge, beamforming techniques—particularly hybrid beamforming for massive MIMO systems—have gained significant attention. In this thesis, the fundamental concepts an‎d various beamforming methods, including analog, digital, an‎d hybrid approaches, are first introduced. The limitations of fully digital beamforming architectures in massive MIMO systems are analyzed, with emphasizing the high hardware complexity an‎d cost. Different implementation architectures for hybrid beamforming an‎d antenna array configurations are reviewed, along with the impact of phenomena such as grating lobes, which play a crucial role in array design. Subsequently, a review of related works is presented to identify the strengths an‎d limitations of existing methods. A new array configuration is then proposed, based on a modified Uniform Rectangular Planar Array with Triangular Lattice (URPA-TL), aiming to enhance beam steering performance while avoiding grating lobes. Furthermore, two algorithms—Orthogonal Matching Pursuit (OMP) an‎d the Sohrabi method—are employed for hybrid beamforming design within the proposed framework. Simulation results demonstrate that the proposed array configuration outperforms conventional designs, offering improved spectral efficiency while reducing cost an‎d power consumption. Finally, the thesis concludes with a summary of findings an‎d several suggestions for future research directions

جلال ذهبي , محمدصادق فاضل فلاورجاني

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نغمه سادات مويديان , احسان يزديان