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T6: Open AI Cellular (OAIC): An Open-Source Platform for Prototyping and Testing AI-Enhanced O-RAN Enabling 6G Wireless Research - VTC2023-Spring

VTC2023-Spring > Tutorials Available > T6: Open AI Cellular (OAIC): An Open-Source Platform for Prototyping and Testing AI-Enhanced O-RAN Enabling 6G Wireless Research

T6: Open AI Cellular (OAIC): An Open-Source Platform for Prototyping and Testing AI-Enhanced O-RAN Enabling 6G Wireless Research

Organizer: Vuk Marojevic, Mississippi State University, USA
Organizer: Minglong Zhang, Mississippi State University, USA
Organizer: Bo Tang, Worcester Polytechnic Institute, USA
Organizer: Vijay K. Shah, George Mason University, USA

Abstract: Since first conceptualized and proposed, the Open Radio Access Network (O-RAN) has aimed for openness, intelligence and flexibility. To fulfill the objectives, various network components and interfaces will have been virtualized and disaggregated. Meanwhile, O-RAN based 6G networks will incorporate artificial intelligence (AI) into the deployment, operation, and maintenance of the network. AI can optimize parameters in a large search space, figure out corresponding solutions for new situations, as well as interpolate while facing insufficient information. This tutorial will introduce the open-source software platform Open AI Cellular (OAIC), a community research infrastructure project enabling 6G wireless research and experiments. OAIC enables prototyping and testing of next generation AI-based cellular radio access networks (RANs). We will introduce how to design and integrate AI-based RAN controllers, such as user/resource scheduling and network slicing.

The tutorial will also highlight methodologies for developing open-source tools and services for AI-enabled O-RAN management and experimentation with software-defined radios (SDRs) along with an AI-enhanced RAN testing framework for 6G research. Attendees will obtain substantial knowledge and experience with O-RAN fundamentals and the emerging OAIC research platform and how to use it for wireless research and development.

 

Vuk Marojevic

Bio: Vuk Marojevic received the M.S. degree in electrical engineering from the University of Hannover, Germany, and the Ph.D. degree in electrical engineering from UPC-Barcelona Tech. He was assistant professor at UPC, research faculty at Wireless @ Virginia Tech and is currently an Associate Professor with the Department of Electrical and Computer Engineering at Mississippi State University. His research interests are in software-defined radio, spectrum sharing, vehicular communications, resource management with application to commercial and mission-critical cellular networks and unmanned aircraft systems. He is a PI of the NSF-sponsored AERPAW and Open AI Cellular (OAIC) projects. He serves as an Associate Editor of the IEEE Trans. on Vehicular Technology and the IEEE Vehicular Technology Magazine. He has given tutorials about software radio frameworks, open-source LTE and cellular communications security at major conferences and workshops, such as IEEE MILCOM (2018), NEWSDR (2019) and SDR-WInnComm (2013). He has presented a tutorial about OAIC at IEEE CCNC 2023.

 

Minglong Zhang

Bio: Minglong Zhang received his M.S degree in electronic engineering from the Peking University, P.R. China and PhD degree in electrical and electronic engineering from Auckland University of Technology, New Zealand. He was a lecturer and research associate at Auckland University of Technology. He is a postdoctoral research associate at Mississippi State University. His research interests include 5G/6G V2X communications, software-defined radios, AI-enabled ORAN. He will give a tutorial about OAIC at IEEE CCNC 2023. Dr. Zhang has attended and organized multiple relevant conferences, such as IEEE ICC, 2020 WCNC, 2018 EIA SARTGIFT and 2017 PIMRC. He made presentations in the conferences and the topics were wireless networks, V2X communications and networking. He has been a tutorial presenter at IEEE CCNC 2023 and present OAIC.

 

Bo Tang

Bio:  Bo Tang received the M.S. degree in information processing from Chinese Academy of Sciences and Ph.D. degree in electrical engineering from University of Rhode Island. He is currently an Assistant Professor in the Department of Electrical and Computer Engineering at Mississippi State University. His research interests are machine learning, edge AI, and AI security, as well as their applications in wireless networks. He is the recipient of NSF CAREER Award (2021) and NIJ New Investigator/Early Career Award (2019). He is a Senior Member of IEEE and servers as an Associate Editor of the IEEE Trans. on Neural Networks and Learning Systems. He has given a tutorial about OAIC at IEEE CCNC 2023.

 

Vijay K. Shah

Bio:  Vijay K. Shah is an Assistant Professor in the Cybersecurity Engineering (CYSE) Department at George Mason University (GMU). He is also a faculty member of Commonwealth Cyber Initiative (CCI), a Virginia state-wide initiative to foster 5G wireless, autonomous systems, data and cybersecurity research. His research interests include 5G/Next-G wireless, O-RAN architecture, AI/ML for communications and wireless testbed development and prototyping. He serves as a co-chair for IEEE workshop on next-generation radio access networks (co-located with IEEE GLOBECOM 2022). He has organized many IEEE and ACM workshops collocated with leading wireless communication and networking conferences, such as, IEEE GLOBECOM, ACM MobiCom, and ACM ICDCN.