Main venue
Grand Ballroom 1&2 (3rd floor)
Seoul, Korea
AI-RAN Summit2026
Nov. 9 (Mon) – 10 (Tue), 2026 · Mondrian Seoul Itaewon
Two-day program agenda for global AI-native RAN collaboration
government views, AI-x-RAN technology, the open-source ecosystem, testbeds,
and a K-consortium showcase.
2 DaysNov 9–10, 2026
7 TracksGovernment to K-Consortium
Itaewon, SeoulMondrian Seoul Itaewon
All Member MeetingNov 11–13, Yonsei University
About
Open Innovation, Global Ecosystems,
and AI-Native Radio Access
The AI-RAN Summit 2026 brings together global leaders from academia, industry, and government to explore the convergence of Artificial Intelligence (AI) and Radio Access Networks (RAN).
The Summit will provide a platform to exchange ideas, share cutting-edge research, discuss policy and regulatory directions, and foster collaboration toward next-generation AI-native wireless networks.
Through technical discussions, industry insights, and strategic dialogue, we aim to accelerate AI-RAN innovation, strengthen the open and collaborative ecosystem, and shape the future of 6G and intelligent connectivity.
Join us in Seoul, November to shape the future of AI-RAN.
Venue
Mondrian Seoul Itaewon
The event will be held at Mondrian Seoul Itaewon, 23 Jangmun-ro, Yongsan-gu, Seoul.
Small banquet hall
Studio 1&2 (3rd floor)
Staff / VIP room
Boardroom & Wedding Lounge
(3rd floor)
Program
Two-Day Program at a Glance
Global governments, vendors, startups, universities, and testbed leaders in one program.
Full speaker lineup will be updated as details are confirmed.
| Day | Time | Track | Speakers / Organizations | Len. |
|---|---|---|---|---|
| MON | 8:30 | Opening Remarks | Seong-Lyun Kim (Yonsei University) | |
| MON | 8:30–11:00 | Government | Bokyeong Park (MSIT, Korea) · Sarah Skaluba (NTIA, US) · Henry Foo (IMDA, Singapore) · Shinya Shimada (MIC, Japan) · Tiffany Lin (ITRI, Taiwan) | 2.5h |
| MON | 11:00–11:30 | Opening Ceremony | Welcome Address · Congratulatory Remarks · Commendation Ceremony (Deputy Prime Minister & Minister of Science and ICT Award) · AINA/5G-ACIA MOU Ceremony | 30m |
| MON | 11:30–13:00 | Lunch | Break | 1.5h |
| MON | 13:00–15:30 | AI-x-RAN (1) | Alex Jinsung Choi (SoftBank) · Andres Arjona (Nokia) · Ji-Yun Seol (Samsung Electronics) · Sibel Tombaz (Ericsson) · Jack Nasielski (Qualcomm) | 2.5h |
| MON | 15:40–17:40 | AI-x-RAN (2) | Tim O'Shea (DeepSig) · Tommaso Melodia (Northeastern University) · Kei Sakaguchi (Institute of Science Tokyo) · Tony Q.S. Quek (SUTD) | 2h |
| MON | 19:00–20:40 | Networking Reception | 1h 40m | |
| TUE | 8:30–10:00 | Open Source | Navid Nikaein (BubbleRAN / EURECOM) · Jungmihn Jamie Ahn (Legal / Hallym) · Alex Keller (NVIDIA) | 1.5h |
| TUE | 10:10–11:40 | Platform / Testbed | Siva Subramani (Keysight) · Howard Thomas (VIAVI Solutions) · Ben Coffin (Emerson/NI) | 1.5h |
| TUE | 11:40–12:40 | Lunch | Break | 1h |
| TUE | 12:40–14:40 | OCUDU WG | Abhimanyu Gosain (FutureG Advanced Research) · Jihong Park (SUTD) · Ranny Haiby (Linux Foundation) · Seong-Lyun Kim (Yonsei University) | 2h |
| TUE | 14:50–16:10 | AI Networks in Action | Taeseok Oh (SKT Consortium) · Jihye Lee (KT Consortium) · Kwang Soon Kim (Newgens Consortium, Yonsei University) · Kyusoon Hwang (WIZCORE Consortium) | 1h 20m |
| TUE | 16:20–17:50 | K-Consortium | Kuntal Chowdhury (NVIDIA) · Chan-Byoung Chae (Yonsei University) · Sangsu Kang (Samsung) · Sangmin Jung (SKT) · Je-Min Jeong (KT) · Sangheon Lee (LG U+) · Hoon Lee (ETRI) | 1.5h |
| TUE | 17:50–18:00 | Closing Ceremony | Seong-Lyun Kim (Yonsei University) | 10m |
Policy & Strategy
Government perspectives from Korea (MSIT), the US (NTIA), Japan (MIC), Taiwan (ITRI), and Singapore (IMDA).
AI-x-RAN Ecosystem
SoftBank, Nokia, Ericsson, Qualcomm, Samsung Electronics, DeepSig, Northeastern University, Tokyo Science, and SUTD across two AI-x-RAN sessions.
Open Source Stack
BubbleRAN/EURECOM, NVIDIA, and legal perspectives, plus the OCUDU working group with SUTD, the Linux Foundation, and Yonsei University.
Platforms & K-Consortium
Keysight, VIAVI Solutions, Emerson/NI, AI Networks in Action, and the K-Consortium with Samsung, SKT, KT, LG U+, ETRI, Yonsei, and NVIDIA.
Program
Detailed Program
Full speaker lineup will be updated as details are confirmed.
8:30
Opening Remarks – Seong-Lyun Kim (Yonsei University)
Government
8:30–11:00 · 2.5h
Chair: JeongGil Ko
Time: 8:30–9:00
Korea’s AI-RAN Policy Directions
Bokyeong Park MSIT, Korea
Time: 9:00–9:30
NTIA’s vision for 6G and AI RAN
Sarah Skaluba NTIA, US
Time: 9:30–10:00
Networks for An AI-Native Future
Henry Foo IMDA, Singapore
Time: 10:00–10:30
Japan’s Approach and Initiatives toward AI-RAN
Shinya Shimada MIC, Japan
Time: 10:30–11:00
Taiwan’s AI-RAN Ecosystem and Development Outlook
Tiffany Lin ITRI, Taiwan
Opening Ceremony
11:00–11:30 · 30m
Chair: -
Time: 11:00–11:04
Welcome Address
Youngin Kim AI Network Alliance (AINA)
Time: 11:04–11:08
Congratulatory Remarks
Woohyuk Choi MSIT, Korea
Time: 11:08–11:12
Congratulatory Remarks
Alex Jinsung Choi AI-RAN Alliance
Time: 11:12–11:20
Commendation Ceremony (Deputy Prime Minister & Minister of Science and ICT Award)
MSIT, Korea
Time: 11:20–11:30
AINA/5G-ACIA MOU Ceremony
AINA, 5G-ACIA
11:30–13:00 (1.5h)
Lunch
AI-x-RAN (1)
13:00–15:30 · 2.5h
Chair: Chan-Byoung Chae
Time: 13:00–13:30
AI-Native 6G: A Perspective from the AI-RAN Alliance
Alex Jinsung Choi Softbank
Time: 13:30–14:00
Leading the AI-Native 6G Era: Nokia's Vision for AI-RAN and Future Networks
Andres Arjona Nokia
Time: 14:00–14:30
The New Era of Intelligent Connectivity
Ji-Yun Seol Samsung Electronics
Time: 14:30–15:00
AI RAN in Action: Intelligence that Delivers Real Network Value
Sibel Tombaz Ericsson
Time: 15:00–15:30
From AI-Driven RAN to AI-Native 6G
Jack Nasielski Qualcomm
AI-x-RAN (2)
15:40–17:40 · 2h
Chair: Seong-Lyun Kim
Time: 15:40–16:10
AI-RAN on OCUDU: Building the Neural PHY for 6G
Tim O'Shea DeepSig
Time: 16:10–16:40
From Connectivity to Physical AI: Real-Time Intelligence in the Open RAN
Tommaso Melodia Northeastern
Time: 16:40–17:10
Physical-AI-RAN: Connecting Real-TIme Digital Twins and Physical AI
Kei Sakaguchi Institute of Science Tokyo
Time: 17:10–17:40
Towards AI-Native Network
Tony Quek SUTD
19:00–20:40 (1h 40m)
Networking Reception
Open Source
8:30–10:00 · 1.5h
Chair: Jeonghun Park
Time: 8:30–9:00
AI-Native Networking with Open-Source CU/DU: The OpenAirInterface Case
Navid Nikaein BubbleRAN/Eurecom
Time: 9:00–9:30
Governing AI-RAN: Legal Challenges in the AI-Native Network
Jungmihn Jamie Ahn Legal/Hallym
Time: 9:30–10:00
Driving 6G Innovation
Alex Keller NVIDIA
Platform / Testbed
10:10–11:40 · 1.5h
Chair: Kwang Soon Kim
Time: 10:10–10:40
AI-RAN: Train It, Test It, Trust It. Digital Twin-Driven Validation from Model to Live Network
Siva Subramani Keysight Technologies
Time: 10:40–11:10
This is the data you are looking for
Howard Thomas Viavi
Time: 11:10–11:40
Evolving Prototyping Platforms for AI-RAN
Ben Coffin NI/Emerson
11:40–12:40 (1h)
Lunch
OCUDU WG
12:40–14:40 · 2h
Chair: Seong-Lyun Kim
Time: 12:40–13:10
Bridging AI-RAN's resource orchestration challenge to US DoD's Joint All-Domain Vision
Abhimanyu Gosain FutureG / QinetiQ
Time: 13:10–13:40
OCUDU Meets AI-RAN for Networked Physical AI
Jihong Park SUTD
Time: 13:40–14:10
AI-RAN Alliance and Linux Foundation Updates and Collaboration Opportunities
Ranny Haiby Linux Foundation
Time: 14:10–14:40
OCUDU GPU-Accelerated vRAN: Development and Experimental Results at Yonsei University
Seong-Lyun Kim Yonsei
AI Networks in Action
14:50–16:10 · 1h 20m
Chair: Hanju Yoo
Time: 14:50–15:10
Accelerating the Physical AI Era with Hyper-AI Networks
Taeseok Oh SKT Consortium
Time: 15:10–15:30
Hyper AI Network: Deployment Strategy and Physical AI Use Cases
Jihye Lee KT
Time: 15:30–15:50
Campus AI-RAN: Physical AI-RAN Research Platform at Yonsei
Kwang Soon Kim Newgens Consortium, Yonsei
Time: 15:50–16:10
AI-RAN in Action: Enabling Autonomous Manufacturing through Physical AI and Edge Intelligence
Kyusoon Hwang WIZCORE Consortium
K-Consortium
16:20–17:50 · 1.5h
Chair: Chan-Byoung Chae
Time: 16:20–16:50
NVIDIA’s Vision for AI-RAN
Kuntal Chowdhury NVIDIA
Time: 16:50–17:00
Building the 6G Future: AI-RAN Research and Innovation at Yonsei
Chan-Byoung Chae Yonsei
Time: 17:00–17:10
AI-Powered Network Evolution
Sangsu Kang Samsung
Time: 17:10–17:20
SKT’s View for AI-RAN
Sangmin Jung SKT Consortium
Time: 17:20–17:30
Status of KT’s research and pilot on AI-RAN
Je-Min Jeong KT
Time: 17:30–17:40
LG U+’s Path toward AI-RAN
Sangheon Lee LG U+
Time: 17:40–17:50
AI-RAN Technologies and the Global Flagship Project
Hoon Lee ETRI
17:50–18:00 (10m)
Closing Ceremony – Seong-Lyun Kim (Yonsei University)
Participating Organizations
Government
AI-x-RAN
Open Source
Platform /
K-Consortium
AI-RAN System Demonstrations
(on November 11–12 at the AI-RAN Alliance All Member Meeting)
- Yonsei AI-RAN Testbed (On-site tour)
- WattRAN for 6G Radio Energy Saving: Design, Implementation, and Experimental Validation (Yonsei/NI)
- Channel2World & Channels4World: Towards Wireless Foundation Models (Yonsei/UCSD/NVIDIA)
- Semantic Communications for Physical AI (Yonsei/SKT)
- AI-Driven Distributed MIMO for FR3 (Yonsei/Samsung)
- RF Modules for AI-RAN (Yonsei/SensorView)
- Pixel-Based Reconfigurable Fluid Antenna System (Yonsei/UCL/HKUST)
- Neural-Guided Hybrid Precoding for Extreme-Massive MIMO: Covariance Learning and Prototype Validation (Yonsei/Sogang)
- Multimodal Sensing-Based Electromagnetic Material-Calibrated Digital Twin (Yonsei)
- LLM-Empowered Hierarchical RIC for Intent-Driven Network Slicing on OAI (Yonsei)
- dApp–xApp Closed Loop for Real-Time Jamming Mitigation in an OCUDU Testbed (Yonsei/SUTD)
- Private AI-RAN and Commercial 5G for Physical AI (Yonsei)
- Heterogeneous CPU–GPU Acceleration for 5G Baseband Processing (Yonsei)
- RAN-Aware Adaptive GPU Sharing for AI-and-RAN (Yonsei)
- RAN-Driven Scheduling for Shared-GPU AI-RAN (Yonsei)
- MIMO Covariance Map Estimation (Yonsei)
- PPO-Based Massive MIMO Scheduler with Various Traffic (Yonsei)
- Spatial MIMO Channel Rendering: A 3D Gaussian Splatting Approach (Yonsei)
- DRL-Based Joint Advanced Sleep Mode and Network Slicing Control on OAI/FlexRIC (Yonsei)
- Experience-Guided LLM rApp for Mobility Load Balancing on ns-3/FlexRIC (Yonsei)
- Geo-Radio Environmental Twin (Yonsei)
- Radio-Aware Digital Twin for Physical AI (Yonsei)
- RAN System Twin: Real-Time Software Emulation of 5G NR, from Radio Channel to Protocol Stack
- From Sidelink to AI-RAN: Scaling Multi-Robot SLAM (Inha/Yonsei)
- ocudu-gpu-channel: GPU-Native Channel Emulation for Live AI-RAN (Yonsei/SUTD)
- Real-Time AI-RAN dApps on CUDA-Accelerated OCUDU (DeepSig)
- 6G-TwinFORGE: A Digital Twin Framework with Online Radio-map and RAN Emulation (Northeastern/TwiNet)
- The dApp and E3 Framework (Northeastern University)
- Jamming Detection dApp (Unikie with Rimedo Labs/University of Oulu)
- dApp Lifecycle Management (zTouch)
- 5G and AI-RAN Lab Kit for Workforce Development (Allbesmart)
- ISAC dApp: Bistatic Range-Doppler Sensing over E3 with Simulated Deployment on NVIDIA BREV Cloud Platform (NVIDIA)
- Build Open Networks: Observe, Automate and Optimize them with One TN/NTN Stack (BubbleRAN)
Committee
Chairs
Registration
Registration
Is Now Closed
AI-RAN Summit 2026 has concluded. Thank you to everyone who joined us, both offline and online.
For certificates of attendance and other supporting documents, please contact the Secretariat:
Hyunsoo Kim (AINA Secretariat) · hyunsoo.kim@kani.or.kr · +82-10-9996-5223
AI-RAN Summit 2026이 종료되었습니다. 오프라인·온라인으로 함께해 주신 모든 분들께 감사드립니다.
참가확인증 등 증빙서류 발급 문의: 사무국 김현수 (hyunsoo.kim@kani.or.kr / 010-9996-5223)
Related Event
AI-RAN Alliance All Member Meeting
This meeting follows immediately after the AI-RAN Summit
and will be held Nov. 11–13, 2026, at Baekyang-nuri, Yonsei University.
Nov. 11 (Wed) – 13 (Fri), 2026
Baekyang-nuri, Yonsei University
50 Yonsei-ro, Seodaemun-gu, Seoul ·
Immediately following the AI-RAN Summit (Nov. 9–10).