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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 module 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

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 models' implementation and related factors. The outline of these implementations will be separated into work packages (WPs) as follows:

WP 1 - NR interface for channel model usage (5 weeks)

• Task 1: Get familiar with BWP configuration, focusing on the channel model and how this configuration could be used from the NR helper class to initialize the BWPs. (0.5 week)
• Task 2: Get familiar with how the NYU channel model is being configured for the mmWave module in the NYU custom mmWave helper class. (0.5 week)
• Task 3: Prepare a refactoring plan for NR classes and check if the design will work for the three-channel models (2 weeks)
• Task 4: Interface implementation for selecting the channel model via the NR helper class and creating a merge request for 5G-Lena (2 weeks) [milestone 1]

WP 2 - Design and implement the benchmark scenario (5 ~ 6 weeks)

• Task 1: Identify and implement the appropriate scenario for all channel models (1 week)
• Task 2: Get results (e.g., channel generation time, entire simulation time, etc.) based on the implemented example (1 ~ 2 weeks)
• Task 3: Analyze, evaluate, and plot the results of the accomplished example (1 week)
• Task 4: Create a merge request of the implemented example to 5G-Lena (2 weeks) [milestone 2]

WP 3 - Test code and improvements (7 weeks)

• Task 1: Implement a new test code for all the implemented channel models (1 week)
• Task 2: Create a merge request of the implemented test to 5G-Lena (2 weeks) [milestone 3]
• Task 3: Improve the channel generation performance in terms of time and computational resources (2 weeks)
• Task 4: Create a merge request for the new enhancement in channel model generation implementation for 5G-Lena (2 weeks) [milestone 4]