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Case Studied on Federated learning Deployment in O-RAN

Case Studied on Federated learning Deployment in O-RAN

簡報下載 (Creative Commons BY 4.0):https://reurl.cc/eXejzj
Case Studied on Federated learning Deployment in O-RAN
O-RAN 中部署聯邦學習的案例研究
專題研究計畫-進度討論會議
日期:2023/05/11
國立清華大學 資訊工程學系 邱德泉教授 ACE LAB 蔡秀吉
[email protected]

參考資料來源:
https://thc1006.blogspot.com/2023/01/near-rt-ric.html
O-RAN.WG2.AIML-v01.03
Deep Learning for B5G Open Radio Access Network: Evolution, Survey, Case Studies, and Challenges: http://dx.doi.org/10.1109/OJCOMS.2022.3146618
https://thc1006.blogspot.com/2023/04/blog-post.html
https://wiki.o-ran-sc.org/display/OAM/OAM+Architecture

蔡秀吉

May 11, 2023
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  1. O1 O2 A1 OFH (M) O1 O1 O1 O-Cloud O-DU

    O-RU O-RU Near-RT RIC Near-RT RIC O-CU-CP O-CU-UP Non-RT RIC O1 rAPP SMO • • • Reference: https://thc1006.blogspot.com/2023/04/blog-post.html
  2. FL is suitable for O-RAN, is also based on a

    Disaggregated and Distributed split architecture (O-DU and O-RU). O-RU Subnet O-DU Single O-RU O-CU-CP O-CU-UP Reference:Deep Learning for B5G Open Radio Access Network: Evolution, Survey, Case Studies, and Challenges
  3. Train a Global Model Deploy Global model in “Related” Near

    RT RIC xApps Models Aggregation Deploy via A1 Reference: O-RAN.WG2.AIML-v01.03
  4. • 因為應用情境 (scenario) 的不同, Near-RT RIC 會需要運行多個應用程式(xApps), 進行資料監控,並對 RAN 功能(Function)的參數進行調整,才能達成應用情境

    的需求;Near-RT RIC 的控制決策,仍須根據 Non-RT RIC 提供的 Policy 與指令 等…進行 RAN 控制的調整優化。 Introduction to xApps Reference:https://thc1006.blogspot.com/2023/01/near-rt-ric.html
  5. Local Model Local Model Local Model O-DU O-CU-CP O-CU-UP F1-C

    F1-U O-FH (Network Functions,NFs) (O-CU、O-DU、O-RU)