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• implement an example O-cloud infrastructure hosting one or more O-RAN NF(s) (e.g. O-CU, O-DU) at Rutgers University WINLAB (https://winlab.rutgers.edu/)
• develop a setup and tutorial to enable multiple users to replicate the cloud-native open-source implementation and contribute to open source
• study and develop open-source software to support management/data collection of the infrastructure and NFs from the SMO, using energy consumption as an example 

Additional Information

Following links are to open-source projects related to O-cloud/SMO and O-RAN Alliance specifications

1. O-RAN SC INF project for O-cloudSMO project: NF Orchestration Using SMO: https://wiki.o-ran-sc.org/download/attachments/pages110788981/viewpageNF%20Orchestration%20Using%20SMO%20%28Design%20details%29.action?pageId=1179726pdf?version=1&modificationDate=1707960856308&api=v2
2. O-RAN SC SMO INF project : NF Orchestration Using SMO: for O-cloud: https://wiki.o-ran-sc.org/download/attachments/110788981/NF%20Orchestration%20Using%20SMO%20%28Design%20details%29.pdf?version=1&modificationDate=1707960856308&api=v2pages/viewpage.action?pageId=1179726
3. Joint ONAP/O-RAN SC Discussions - ONAP/O-RAN-SC/SMO Meetings - Developer Wiki - Confluence
4. O-RAN Architecture Description 11.0, O-RAN.WG1.OAD-R003-v11.00, O-RAN Downloads (orandownloadsweb.azurewebsites.net)
5. O-RAN Cloud Architecture and Deployment Scenarios for O-RAN Virtualized RAN 6.0
   O-RAN.WG6.CADS-v06.00 O-RAN Downloads (orandownloadsweb.azurewebsites.net)

Learning Objectives

The student will learn:

• to work with the industry experts in the open-source community
• to deploy and test open-source code, and contribute back to the open-source projects
• to integrate open-source work with other university/industry research initiatives
• from interactions with industry/academia experts and other interns

Expected Outcome

• Implement an example O-cloud infrastructure in Rutgers Winlab (e.g. 3 servers) WINLAB using methods aligned with LF/LFN open-source projects.
  We intend to make this available to users globally to perform academic/open-source research
• Demonstrate instantiation of sample O-RAN NF(s) on O-cloud
• Implement sample SMO functionality for cloud management/orchestration
• Demonstrate data collection from cloud/NF(s) through O2 interface (e.g. energy consumption of O-DU)

Relation to LF Networking 

This project enhances the wireless networking open-source ecosystem. It will use code from, and enhance, LF/LFN projects such as O-RAN SC, ONAP, and Nephio. Note that there are ongoing efforts to harmonize the work in various LF/LF projects in areas related to the O-RAN O-Cloud and Cloud management in the O-RAN SMO.

Education Level

Preference will be given to graduate students, and students with interest in pursuing this work for their graduate research. The student can work remotely, or join other interns onsite at Rutgers WINLAB in North Brunswick, NJ.

Skills

• Programming experience, especially in cloud and network-related applications in languages such as: Python, Java, C/C++, Go
• Knowledge/experience of cloud systems, particularly Kubernetes/Docker
• Knowledge/experience with unix/linux, IP networking
• Experience with open-source, software configuration management, software development preferred
• Experience with network interfaces and APIs preferred
• Knowledge of wireless networks, network management is a plus

Future plans

The results of this project will contribute back to the open-source projects. We plan for this work to integrate with Rutgers WINLAB research projects. The learnings from each project feeds into other projects and will be captured as part of the knowledge base to help train future contributors.

Preferred Hours and Length of Internship

Full-time (40 hours a week for 12 weeks during the summer)

Mentor(s) Names and Contact Info

N.K. Shankaranarayanan,   shankar@winlab.rutgers.edu, Rutgers WinlabWINLAB

Ivan Seskar, seskar@winlab.rutgers.edu, Rutgers WinlabWINLAB

Seshu Mudiganti, seshukumar.mudiganti@windriver.com, Windriver

Martin Skorupski, martin.skorupski@highstreet-technologies.com, highstreet technologies

Application Process

This project will be managed as part of the Rutgers University WINLAB summer internship program which lists Cloud-Native O-RAN as one of the summer projects. To apply for this LFN Mentorship project:

1. Please go to the Rutgers WINLAB page listed below and follow the instructions there to apply for the internship, and make sure you state that you are applying for the LFN Cloud-Native O-RAN mentorship project. This LFN mentorship page has more details and requirements; so make sure to address those in your statement / essay. Note that the LFN mentorship term is June1-Aug31 which runs a little longer than the Winlab summer internship program May28-Aug 7. Due to the volume of applications, we may not respond till April 28. So please be patient.
   Rutgers WINLAB Summer 2024 Internship page:  https://winlab.rutgers.edu/prospective-students/summer-internship/
   
   
2. Please also do the following:

• • Send an email to:
    • shankar@winlab.rutgers.edu
    • with CC: mentorship@lfnetworking.org 
  • Include your name, resume, and a statement of why you would be best for this project.
  • Due to the volume of applications, we may not respond until up to April 23rd.
    • Please be patient.