# OpenRAN Gym: An Open Toolbox for Data Collection and Experimentation with AI in O-RAN
###### tags: `5G Reading`
Date : 2022-11-04

## Metadata
[paper link](https://arxiv.org/pdf/2202.10318.pdf)
Bonati, L., Polese, M., D’Oro, S., Basagni, S., & Melodia, T. (2022, April). OpenRAN Gym: An Open Toolbox for Data Collection and Experimentation with AI in O-RAN. In 2022 IEEE Wireless Communications and Networking Conference (WCNC) (pp. 518-523). IEEE.
## Take away
OpenRAN Gym is an end-to-end test environment for the O-RAN related experiments. It is both beneficial for academy and industrial use for decreasing the costs on operating the experiments and control the variables in experiments, etc.

## Summary
The proposed OpenRAN Gym integrates several O-RAN components service projects into an end-to-end data-driven experimentation platform. Including Colosseum as the dataset, ColO-RAN as the O-RAN control architecture, SCOPE as the RAN APIs and srsRAN(or OpenAirInterface; OAI) as the softwarized RAN.

## Note
- Overall architecture in OpenRAN Gym

- Data Collection and Control Framework - SCOPE
[paper link](https://ece.northeastern.edu/fac-ece/basagni/papers/BonatiDBM21.pdf)
SCOPE利用現有虛擬化RAN平台[srsRAN](https://arxiv.org/pdf/1602.04629.pdf)，加上額外的網路切片(network slicing)及規範排程(scheduling policies)等功能，達成能夠及時更改RAN相關設定的模擬能力。另外本專案與現有網路環境相關資料庫[Colosseum](https://arxiv.org/pdf/2110.10617.pdf)有很高的貼合度，除了資料欄位能夠有對應的接口，例如QoS, scheduling policies, slicing resources等，以及透過E2 Termination能以OSC-DU接上Near-RT RIC平台，能夠加速應用的開發。

- O-RAN Control Architecture - ColO-RAN
[paper link](https://arxiv.org/pdf/2112.09559.pdf)
ColO-RAN以輕量化的形式實作了OSC Near-RT RIC平台，透過部屬於Docker的環境，提供了O-RAN E2 Termination, E2 Manager, E2 Routing Manager, Redis DB, 和xApp Framework等必要的元件。部署完成後便能夠透過E2 Interface將ColO-RAN串連至SCOPE RAN，透過ColO-RAN上部署的xApp收到從RAN上傳的KPMs資料提供後續分析。

- Testbed - Colosseum
[paper link](https://arxiv.org/pdf/2110.10617.pdf)
Colosseum是一個龐大的網路環境模擬專案，提供許多學術單位對網路環境模擬的需求，特別在網路環境中部署訓練AI模型的應用上在未來有更高的使用程度，原因為在網路環境中收集資料及訓練需要龐大的成本，若是能夠在模擬的環境中進行訓練調整的模型，除了降低成本外，也能夠對網路環境的各項變數控制有更高的掌握程度。Colosseum提供128 Standard Radio Nodes (SRNs), Massive Channel Emulator (MCHEM), Radio Frequency (RF) scenario server以及Traffic Generator (TGEN)。