The University of Washington has received an NSF CCRI Award (PI Prof. Sumit Roy) to improve the scalability of ns-3’s wireless simulation models and scenarios. This award started in Fall 2020 and is part of a collaborative research program with Georgia Tech.
- Research Objectives:
- Efficient Link-2-System (L2S) mappings for runtime-efficient wireless error models
- Sian Jin published advances on this topic, presented at the Workshop on ns-3
- Enhanced Cross-Layer and Abstraction Approaches
- Shepherd the Sandia National Laboratories kmsim implementation to the ns-3 mainline
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- Develop cellular wraparound techniques (e.g. sample techniques) for ns-3
- Network Simulation Parallelization
- Georgia Tech. is leading this thrust
- Efficient Link-2-System (L2S) mappings for runtime-efficient wireless error models
- Educational/Outreach Objectives
- Training and tutorials
- April 2021: 5G New Radio with ns-3, (Tom Henderson, co-authored with Lorenza Giupponi, CTTC)
- June 2021: Machine Learning in ns-3: ns3-ai module, Introduction and Hands-on Example, Hao Yin, co-authored with Pengyu Liu (Huazhong University of Science and Technology)
- June 2021: How to contribute code to ns-3, Tom Henderson
- June 2021: Efficient PHY Layer Abstraction in ns-3: Principles and Implementation, Sian Jin and Tom Henderson
- Improved example programs are planned for development
- Educational materials
- To be developed
- Software maintenance
- During this award period, Tom Henderson has organized and published six
releases (ns-3.33 through ns-3.38) of the open source project.
- During this award period, Tom Henderson has organized and published six
- Training and tutorials