GSOC2023ns3-aiFinalReport
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Back to GSOC2023ns3-ai (page containing my weekly updates, not the final report)
Project Overview
- Project Name: ns3-ai enhancements
- Student: Muyuan Shen
- Mentors: Collin Brady and Hao Yin
Project Goals
The main focus of this project is to optimize performance and improve usability of the ns3-ai module, which facilitates the connection between ns-3 and Python-based ML frameworks using shared memory.
To accomplish this goal, the project will introduce additional APIs that support data structures such as vector in shared memory IPC. This will effectively reduce the required interaction between C++ and Python, resulting in improved performance. Also, the project will integrate Gymnasium API like ns3-gym's but has a shared-memory-based backend, to turn ns-3 into a environment that agents can efficiently and seamlessly interact with. In addition, the project will enhance the existing examples, documentation and tutorials, while also integrating new examples that cover scenarios like Multi-BSS in VR. By doing so, users will have more comprehensive resources at their disposal. Furthermore, the project aims to provide examples utilizing pure C++-based ML frameworks. This will offer researchers more options for integrating with ML.
The overall aim of the project is to expand and accelerate the capabilities of the ns3-ai module, enabling users to simulate and analyze network related algorithms with enhanced efficiency and flexibility.
