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夜のスカイライン

 Place: Scandic Marina Congress Center
Room: Nautica, 1st Floor

About

U P D A T E S

8 June

We have a new keynote speaker! 

A detailed one-day program is available!

11 Mar.

Deadline has been extended again to 20 March

We look forward to your paper submissions!

28 Feb.

Deadline has been extended to 10 March

We look forward to your paper submissions!

 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:

  • MEC for intelligent networks

  • MEC for mission-critical applications

  • AI-enabled edge/cloud cooperation

  • Enhanced intelligent network slicing for edge platforms

  • QoS/QoE assurance support

  • Edge AI enhancement for reconfigurable wireless network design and optimization

  • Edge AI empowered VR/AR/XR application services

  • Digital twin platforms enabled by intelligent networks

  • Cloud-native RAN

  • SDN/NFV orchestration based on autonomous learning: algorithm and frameworks

  • Local area data analysis for smart cities

  • Proofs-of-concept of next-generation edge AI networks

  • Platform and standardizations of MEC-enabled AI networks

K E Y N O T E SPEAKERS

Speakers
Schedule

SCHEDULE

 Place: Scandic Marina Congress Center

Room: Nautica, 1st Floor

AM

09:00

Welcome Speech

09:10

Keynote 1:

Prof. Walid Saad

Virginia Tech

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

Comittee

O R G A N I Z I N G   C O M I T T E E

Organizers

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Tarik Taleb

University of Oulu

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Kei Sakaguchi

Tokyo Institute of Technology

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Haris Gačanin

RWTH Aachen University

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Tareq Amin

Rakuten Group

TPC Co-Chairs

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New York University

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Felipe Augusto Pereira de Figueiredo

Inatel

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Anil Pawar

Rakuten Mobile

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Jin Nakazato

Rakuten Mobile

Publicity Co-Chairs

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Francisco Falcone

Public Univ. of Navarre

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Tokyo Univ. of Science

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

Dates

IMPORTANT DATES

23 March

**Closed**

Paper Submission

17 April

 

Acceptance notification

1 May

 

Final paper submission

P A P E R   S U B M I S S I O N

Submisson
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