ns-3

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If you are interested in using #ns3 in industrial don't miss this talk by Makarand Kulkarni, Saankhya Labs (now Tejas Networks). #Industrail_talk

We are glad to announce the ns-3 industry talk #1. Title of the talk: Using ns-3 for Generating Synthetic Data in Cellular Networks Speaker: Makarand Kulkarni, Saankhya Labs (now Tejas Networks) Date and Time: December 5, 2024, 14:00 UTC Registration (free, but mandatory): https://lnkd.in/dnj3d9Fu Mode: Online talk Abstract: Like every other field, cellular communication too is embracing the new frontiers opened by AI/ML advancements. This is, however, fraught with difficulties – ML needs data and such data is not readily available due to several reasons. In such a case, a realistic network simulator, like ns-3, can play an important role in terms of generating relevant data for training the models as well as in validating the inference. This opportunity has already been spotted by several groups in academia and is now being actively pursued in industry too. However, ns-3 poses challenges while scaling to large scale network simulations as well as in terms of integration with several other commonly used tools. The talk focuses on bringing out these aspects of ns-3 so that it can become the de-facto system simulator for wireless communication networks. We also explore certain specific use cases and examples where such data generation has been found to be useful.

Call for Papers The International Conference on ns-3 (ICNS3), formerly known as Workshop on ns-3 (WNS3), will be held on August 19-21, 2025 at the Ritsumeikan University, Osaka Ibaraki Campus and co-hosted by Tokushima University, Japan. The objective of the conference is to gather ns-3 users and developers, together with networking simulation practitioners and users, and developers of other network simulation tools, to discuss the ns-3 simulator and related activities. Important Dates Paper submission deadline: March 21, 2025, 17:00 EST Notification of acceptance: late May Dates of conference: August 19-21 Read full detail here : https://lnkd.in/dt3xiegb

We are glad to congratulate João Albuquerque for successfully completing his Google Summer of Code project, which focused on extending the NR module (5G-LENA) to support legacy non-spatial channel models, adding support for the NYUSIM channel model, and creating a new channel helper to facilitate channel setups. The channel helper also checks for valid calibrated configurations, preventing users from using unsupported configurations unless explicitly configured. João’s work is included in Merge Request (MR) !174 (https://lnkd.in/drzU9Yr4), which is currently in the final stages of revision and is expected to be merged into the NR module's master branch soon.   His mentors are Biljana Bojovic, Gabriel Ferreira, and Amir Ashtari. Summary of her project here: João’s contributions build on his experience integrating Ray-Traced channel models with ns-3 during his final undergraduate work. His motivation stems from identifying opportunities to refactor and simplify simulation setups, making it easier to detect invalid configuration combinations while maintaining flexibility for custom channels, such as those developed by him. This also benefits work on the upper layers, recently merged into NR 3.2, by providing simpler models that reduce simulation time when more realistic channels aren't necessary. His key contributions in MR !174 are the following: channel helper to set up valid channel configurations, or explicitly setup custom configurations; NYUSIM and FTR support; legacy non-spatial channel models support; unit-test to check the channel helper works as intended; and an example to demonstrate the usage of the helper to set up the channel configuration.  read more here: https://lnkd.in/dqZD2mXu

We are glad to congratulate Hyerin Kim for successfully completing her Google Summer of Code 2024 project on extending the NR module (5G-LENA) with AI/ML capabilities, through the integration with the ns3-gym and the implementation of RL-based MAC schedulers. The Merge Request !166 (https://lnkd.in/daJN5uxE) includes Hyerin’s work and is currently in the final revision process. It is expected to be merged into the nr module’s master branch very soon.   Her mentors: Katerina Koutlia, Amir Ashtari, Gabriel Ferreira Biljana Bojovic. Summary of her project here: Hyerin’s work builds on her background in AI/ML during her Master studies and is mainly motivated by the identification of further optimization possibilities in the already implemented QoS schedulers to increase the total user throughput and to improve user fairness. It involves the design and implementation of the RL-based schedulers, including: the interaction with the RL model; the development of a unit test; and a user example to evaluate the performance of the proposed schedulers. Results obtained with her work demonstrate the correct functionality of the schedulers, and that they can outperform the existing QoS schedulers.  read more here : https://lnkd.in/d3UfaHST

The ns-3.43 release has been published (https://lnkd.in/dF-Z8dAX). This release is mainly a maintenance release but contains many small improvements and bug fixes listed in the release notes. This release is due to twenty-eight contributors (https://lnkd.in/ds9w75tN), including twelve new contributors. #ns3

We are glad to congratulate Kavya Bhat for successfully completing her GSoC project on implementing a DHCPv6 model for the simulator. Kavya's MR (https://lnkd.in/dXvFCG4d) is nearing completion and we hope to merge it to ns-3-dev sometime soon. Her mentors: Tommaso Pecorella, Alberto Gallegos Ramonet, Manoj K. Summary of her project here: Kavya's project implements DHCP for IPv6 networks (DHCPv6), which is widely used for device address configuration, and allows for central management of tasks in the network. Specifically, the stateless address autoconfiguration (SLAAC) is implemented in this project with the support of client and server identifiers (DUID-LL); a class was created for this purpose which ensures that future DUID management can be further extended in future revisions. Examples, tests, and documentation were included in this project. The addition of this code is beneficial for ns-3 because many modern networks use DHCPv6 SLAAC both at enterprises and IoT home networks (e.g., Thread stack). This model allows ns-3 users to test practical scenarios, particularly where DHCPv6 might fail to either acquire an address or detect an address collision. Further uses include the common academic implications (e.g., student training, extensions on DHCPv6, etc.). Read more here: https://lnkd.in/dJJ8zKRV

This post provides a brief overview of the noteworthy Google Summer of Code projects from the year 2022, whom NS-3 served as a mentor during Google Summer of Code. Matteo Pagin :  A simplified channel and beamforming model for ns-3, mentors: Sandra Lagén, Biljana Bojovic, Michele Polese. Zhiheng Dong: Perfect ARP and NDP, mentors: Tommaso Pecorella, Ameya Deshpande, Manoj K. Akash Mondal : TCP maximum segment size (MSS) improvements. mentor by Mohit P. Tahiliani, Bhaskar Kataria, and Vivek Jain. If you are interested, access to the final report and more info here: https://lnkd.in/dzvQJ727

As we begin the initial assessment of Google Summer of Code 2024 projects, we would like to provide a recap of the previous year's successful projects that were mentored by NS-3 in Google Summer of Code and in particular 2023. Giovanni G. : IUNS-3 5G NR: Improving the Usability of ns-3's 5G NR Module, mentors: Thomas Henderson, Katerina Koutlia, and Biljana Bojovic. Raghuram Kannan:  Dynamic device registration for NetAnim simulation animations, mentors: Tommaso Pecorella, and Manoj K. Muyuan Shen:  ns3-ai enhancements. mentor by collin Brady and Hao Yin. If you are intrested, access to final report and more info here: https://lnkd.in/dzvQJ727