Simulation and Analysis of 5G NR Beamforming Techniques for Dense Urban Small Cells

Objective: To design, simulate, and analyze 5G NR beamforming algorithms for enhancing signal quality and coverage in dense urban cell deployments.

Urban India faces escalating wireless data demand in cities like Mumbai, Delhi, and Bengaluru, leading to network congestion and poor user experience, especially in high-rise, high-density environments where traditional macro-cell architectures struggle with interference and coverage gaps.

This project proposes the simulation and performance evaluation of 5G NR beamforming techniques for small cell deployments in dense urban scenarios. Students will use industry-standard simulation tools to model urban propagation environments, implement multiple beamforming algorithms (e.g., digital, hybrid, and analog), and analyze their impact on SINR, throughput, and coverage.

The project deliverables include: simulation models for urban small cells, implementation of at least two beamforming algorithms using 5G NR standards (3GPP Rel. 15+), comparative performance analysis, and a working demonstration on MATLAB/Simulink or an open-source 5G simulator such as srsRAN. The project will also provide a cost and feasibility assessment for real-world deployment.

The outcome will guide telecom operators and infrastructure providers in optimizing 5G urban deployments, enabling improved network reliability, user experience, and efficient spectrum utilization, thus supporting India's digital growth ambitions and Smart City initiatives.