Study on Optimal Hybrid Beamforming Architecture for 6G Systems
Project Details
Program
Electrical and Computer Engineering
Field of Study
Wireless Communications, Signal Processing, 6G Networks
Division
Computer, Electrical and Mathematical Sciences and Engineering
Faculty Lab Link
Project Description
Hybrid beamforming is crucial for future 6G networks, offering a balance between hardware complexity and energy efficiency. This project aims to analyze different hybrid beamforming architectures, including subarray-based and dynamic partitioning approaches, to determine the most optimal configuration for various deployment scenarios.
About the Researcher
Abdulrahman Alhamed
Assistant Professor of Electrical & Computer Engineering Principal Investigator, ITASS Lab
Desired Project Deliverables
-Comparative study of different hybrid beamforming architectures
-Simulation results for spectral efficiency, power consumption, and hardware complexity
-A technical report summarizing findings with recommendations for future implementations
Recommended Student Background
Background in wireless communications and MIMO systems
Strong mathematical and simulation skills (MATLAB, Python)
Knowledge of beamforming and antenna arrays
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Be part of the journey with VSRP
3-6 months
Internship period
100+
Research Projects
3.5/4
Cumulative GPA
310
Interns a Year