Place: Scandic Marina Congress Center
Room: Nautica, 1st Floor
ABOUT
Discussions about Beyond 5G (B5G)/6G have started worldwide, and we are now about to enter the age of the super-smart society. Fully virtualized networks and multi-access edge computing (MEC) are key enabler technologies to support this new social infrastructure. These technologies will enable the creation of various kinds of application services that can fully leverage the potential of 5G: enhanced mobile broadband, ultra-reliable low latency, and massive connectivity. In the age of B5G/6G, innovation in networks and artificial intelligence (AI) will further boost this movement. To date, the network has been regarded as a simple pipe to connect user equipment and cloud servers that host applications. Incorporating AI into edge computing will enable end-to-end automated self-aware networks, including wireless/physical networks on virtualized platforms. MEC and virtualized networks support AI mission-critical services such as V2X. That’s why this workshop aims to build a pioneering community to discuss future directions on “virtualized edge-based AI networks” and related technologies. Specifically, the scope includes access/core network architecture to support micro-service functions, fully virtualized platforms, edge/cloud cooperation functionality, and intelligent/autonomous network applications such as resource management. Furthermore, close collaboration with academia and industries can produce new inspiration for future standardization, such as 3GPP Release 18/19 and O-RAN. This workshop will accept recent achievements of theoretical, simulative work as well as proofs-of-concept.
Topics of interest include, but are not limited to:
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MEC for intelligent networks
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MEC for mission-critical applications
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AI-enabled edge/cloud cooperation
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Enhanced intelligent network slicing for edge platforms
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QoS/QoE assurance support
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Edge AI enhancement for reconfigurable wireless network design and optimization
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Edge AI empowered VR/AR/XR application services
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Digital twin platforms enabled by intelligent networks
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Cloud-native RAN
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SDN/NFV orchestration based on autonomous learning: algorithm and frameworks
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Local area data analysis for smart cities
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Proofs-of-concept of next-generation edge AI networks
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Platform and standardizations of MEC-enabled AI networks
K E Y N O T E SPEAKERS
SCHEDULE
Place: Scandic Marina Congress Center
Room: Nautica, 1st Floor
AM
09:00
Welcome Speech
09:10
09:50
Oral Session 1:
5 papers
(1-5 in following list)
11:30
Lunch Break
PM
14:00
Keynote 2:
CEO Tareq Amin
Rakuten Mobile, Inc.
14:50
Oral Session 2:
2 papers
(6-7 in following list)
15:30
Coffee Break
16:00
Keynote 3:
Mr. Dario Sabella
Intel, Chairman ETSI ISG MEC
ACCEPTED PAPERS
1. Task Scheduling with Collaborative Computing of MEC System Based on Federated Learning
Tianyi Shi, Beijing University of Posts and Telecommunications; Hongfeng Tian, Publising House of Electronics Industry; Tiankui Zhang, Beijing University of Posts and Telecommunications; Jonathan Loo, University of West London; Jiangtao Ou, Chengyuan Fan, AI Sensing Technology; Dingcheng Yang, Nanchang University
2. Structured Sparse Ternary Compression for Convolutional Layers in Federated Learnin
Alessio Mora, Luca Foschini, Paolo Bellavista, University of Bologna
3. Towards Deep Learning-Guided Multiuser SNR and Doppler Shift Detection for Next-Generation Wireless Systems
Shun Kojima, Utsunomiya University; Yi Feng, Aptiv; Kazuki Maruta, Tokyo University of Science; Kanemitsu Ootsu, Takashi Yokota, Utsunomiya University; Chang-Jun Ahn, Chiba University; Vahid Tarokh, Duke University
4. Proof-of-Concept of Distributed Optimization of MicroServices on Edge Computing for Beyond 5G
Jin Nakazato, Mitsuhiro Kuchitsu, Rakuten Mobile, Inc.; Anil Pawar, Rakuten Mobile;
Soh Masuko, Rakuten Mobile, Inc.; Keishi Tokugawa, Keiichi Kubota, Tokyo Institute of Technology;
Kazuki Maruta, Kei Sakaguchi, Tokyo Institute of Technology
5. Mobile User Trajectory Prediction Based on Machine Learning
Ya Liu, Hongwen Yang, Beijing University of Posts and Telecommunications;
Rui Huang, Next Generation Standard
6. Edge Intelligence in Mobile Nodes: Opportunistic Pipeline via 5G D2D for On-site Sensing
Terry Guo, Hawzhin Mohammed, Syed R. Hasan, Penn State University
7. Object Recognition Network using Continuous Roadside Cameras
Gunhee Cho, Yusuke Shinyama, Tokyo Institute of Technology; Jin Nakazato, Rakuten Mobile, Inc.;
Kazuki Maruta, Tokyo University of Science; Kei Sakaguchi, Tokyo Institute of Technology
O R G A N I Z I N G C O M I T T E E
Organizers
Tarik Taleb
University of Oulu
Kei Sakaguchi
Tokyo Institute of Technology
Haris Gačanin
RWTH Aachen University
Tareq Amin
Rakuten Group
TPC Co-Chairs
Felipe Augusto Pereira de Figueiredo
Inatel
Anil Pawar
Rakuten Mobile
Jin Nakazato
Rakuten Mobile
Publicity Co-Chairs
Francisco Falcone
Public Univ. of Navarre
TPC Members
Ahmed Guetari,
F5 Networks, Inc.
Daisuke Anzai,
Nagoya Institute of Technology
Kentaro Toyoda,
A*STAR
Michael Beesley,
Cisco Systems, Inc.
Jun Zhang, Hong Kong University of Science and Technology
Ricardo Coelho,
University of Campinas
Bo Sun,
ZTE Corporation
Go Hasegawa,
Tohoku University
Nobuhiko Itoh,
Nippon Institute of Technology
Yi Feng,
Aptiv
David M. Gutierrez Estevez,
Samsung
Michelle Facina,
UNICAMP
Tommy Azzino,
New York University
Dario Sabella,
Intel Corporation
Katarina Radoš,
University of Split
Yusaku Kaneta,
Rakuten Mobile, Inc.
Jing Zhu,
Intel Corporation
Paola Soto,
University of Antwerp
Yuwen Cao,
Keio University
IMPORTANT DATES
23 March
**Closed**
Paper Submission
17 April
Acceptance notification
1 May
Final paper submission