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Project Overview

• Project Name: 5G NR Module Benchmark and Analysis for Distinct Channel Models
• Student: Joao Albuquerque
• Mentors: Biljana Bojovic, Amir Ashtari, Gabriel Ferreira
• Google page: GSoC - Project
• Project Goals: Currently, ns-3 and the NR module provide an interface for using a channel model (3GPP). However, two other models have also been developed using the ns-3 environment: Two-ray and Nyusim. The project aims to integrate these two new models into NR simulations in a simplified and user-friendly manner. Furthermore, I will undertake additional tasks, such as testing the implemented code and creating an example that utilizes these implemented models.
• Repository: ns-3, NR
• About Me: I am an undergraduate student working at LASSE-UFPA, a telecommunications research laboratory, where I have been engaged in various projects using the ns-3 and nr. I have over a year and four months of experience working with ns-3 and the nr module, during which I developed applications, including a new ray-tracing module compatible with NR and the latest versions of ns-3. With this opportunity, I aim to make significant and definitive contributions to ns-3 and the NR module.

Milestones and Deliverables

You can track the project's plan by referring to this document: GSoC — Document Plan. The document will be constantly updated until the final submission.

Milestones for this project include updating the existing channel models in the ns-3, implementing a user-friendly interface via the nr module, creating an example that utilizes all the added channel models within ns-3, and developing a test code to validate the new model implementations and related factors. At the final of the project, some deliverables will be accomplished as listed below:

• D1: A user-friendly interface via NR helper will assist the user in choosing the channel model.
• D2: An example that will benchmark simulation-level metrics, such as total simulation time and channel model calculation time. Additionally, it will also include performance results in higher-level metrics.
• D3: A test to assess if the creation of the spectrum channel matrix was well executed and the average channel gain for the three models.