Tutorials
| Dr. Yusaku Hayamizu (NICT, Japan) | |
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Yusaku Hayamizu received his B.E., M.E., and Ph.D. degrees in engineering from Kansai University in 2014, 2016, and 2019, respectively. He is currently a researcher at the National Institute of Information and Communications Technology (NICT). His research interests include computer networks, information-centric networking (ICN), traffic control, in-network computing, and network softwarization. Dr. Hayamizu is the recipient of Best Paper Awards from the 2017 IEEE CQR Workshop and the 2018 IEEE LANMAN Symposium. He has delivered tutorial talks on the topics of ICN and Cefore in several forums such as ACM ICN2022. He is a member of the ACM, the IEEE, and the IEICE. |
Summary of Presentation Information-Centric Networking (ICN) is one of the promising communication paradigms for supporting future network services in the Beyond 5G era. In this tutorial, we introduce "Cefore", which is an open source software platform enabling ICN communications using CCNx-1.0 messages defined in the IRTF. We especially highlight the Cefore's features from networking and application viewpoints. In order to simply and quickly construct and deploy ICN networks, we introduce an emerging microservice technology, i.e., Docker, integrating with Cefore. We also briefly show "Cefpyco" that is a Python wrapper program that helps developing ICN applications running with Cefore. |
| Prof. Shao-Yu Lien (National Chung Cheng University, Taiwan) | |
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Shao-Yu Lien is now with the National Chung Cheng University as an associate professor. Dr. Lien is also a technical director of Institute for Information Industry, Taiwan, since 2020. Dr. Lien received a number of prestigious research recognitions, including IEEE Tainan Section Best Young Professional Member Award 2019, IEEE Communications Society Asia-Pacific Outstanding Paper Award 2014, Scopus Young Researcher Award (issued by Elsevier) 2014, and IEEE ICC 2010 Best Paper Award. Dr. Lien is a guest editor of IEEE Transactions on Cognitive Communications and Networking in 2019, and a guest editor of Wireless Communications and Mobile Computing (WCMC) in 2017. In the meantime, Dr. Lien also served as the leading organizers of a number of technical workshops in IEEE VTC-Spring 2015, IEEE GLOBECOM 2015, Qshine 2015 and 2016, and IEEE PIMRC 2017, IEEE GLOBECOM 2019 and IEEE ICC 2020. Dr. Lien’s research interests include configurable networks, cyberphysical systems, radio access networks and robotic networks. |
Summary of Presentation The fifth generation (5G) networks are demanded to support any vertical applications at any deployment environments, which involve complex resource allocations, transmission adaptation, network configuration and ambient cognition for a full operation automation. To this end, the recent advance of artificial intelligent (AI) and machine learning (ML) computings have been regarded as a promising innovation to make the next generation networks "intelligent" and create a new paradigm shift of the mobile network design. A pioneer example is the radio access network (RAN) architecture proposed by Open RAN Alliance in 2018 targeting at openness and intelligence to sustain AI/ML computings on the fifth generation (5G) RAN. Since Release 18 (also known as the 5G-Advanced network), 3GPP also launched the normative discussions on the evaluations of AI/ML for the air interface and next generation RAN. Furthermore, considerable research and visions also reveal the crucial roles of AI/ML in the sixth generation (6G) smart networks. To comprehend, this paradigm shifting trend in the evolution toward 5G-Advanced and 6G Networks, in this tutorial talk, the recent progress of the integrated designs of AI/ML and next generation mobile networks (including Open RAN, 5G-Advanced and 6G) will be introduced. Potential technical challenges and research opportunities will be discussed as well. |
| Dr. Kenji Hoshino (SoftBank Corp., Japan) | |
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Kenji Hoshino received his M.E. degree in Information Engineering from Shibaura Institute of Technology in 2007 and Ph.D. degree from Tokyo Institute of Technology in 2021, respectively. He joined SoftBank Telecom Corp. (currently, SoftBank Corp.) in 2007 and engaged in R&D of mobile communication systems. Since 2015, he has been a research engineer at SoftBank Corp. From 2017 to 2021, he also worked as a research engineer at HAPSMobile Inc. His current interests include wireless transmission and adaptive array antenna technologies for mobile communication systems. He received the Academic Encouragement Award from IEICE in 2012. He is a member of the IEICE. |
Summary of Presentation The High Altitude Platform Station (HAPS), which covers an ultra-wide area from the stratosphere at an altitude of about 20 km, has recently drawn attention. HAPS can provide communication services with a low delay less than 1 ms in an area with a maximum radius of 100 km and is promising as a new communication platform for drones and flying cars that are expected to spread in the near future. Therefore, HAPS is expected as one of Beyond 5G promoting strategy in Japan. In addition, HAPS can also provide communication services directly to smartphones from a relay station mounted on a solar plane. Because HAPS itself is not affected by a large-scale disaster and users can communicate immediately with their usual smartphones without carrying a special devices, HAPS can be positioned as an ultimate platform for disaster countermeasure. This talk will introduce an overview of the HAPS and its mobile communication system, and also explain our recent activities of research and development especially in service link. |
| Mr. Jian Li (SK Telecom, Korea) | |
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Jian Li is currently working as a manager at SK Telecom (SKT), and he is also serving as a chair of ONOS/CORD Working Group at SDN/NFV forum and member of ONOS Technical Steering Team at ONF. Jian is currently contributing to EdgeStack project which aims to provide low latency cloud native infrastructure for realizing 5G MEC use case. Jian also contributed to the Simplified Overlay Network Architecture (SONA) project which aims to provide carrier grade overlay network for the Virtualized Infrastructure Managers (VIM) including OpenStack and Kubernetes. Jian received his Ph.D. from POSTECH in 2016 and his research is in the area of Software-Defined Networks (SDN) and Network Function Virtualization (NFV). |
Summary of Presentation EdgeStack is a cloud stack for edge environment, where services are distributed in multiple sites but with smaller scale than central data center. EdgeStack supports both VM and managed Kubernetes (container) workloads using a unified Kubernetes orchestrator with KubeVirt for the purpose of minimizing the CAPEX and OPEX. One of the major issues of providing VM connectivity using Kubernetes is that none of the existing CNI plugins implement the VM networking model, therefore, well-known VM networking features including tenant based L2, L3 isolation and Security Group are not supported. Another issue of providing low latency service using managed Kubernetes is that the stacked overlay networking layers for container connectivity induce extra networking overhead which in turn significantly degrade the overall networking performance. To eliminate those limitations, we introduce the singulus network stack. The singulus network stack supports Virtual Private Cloud (VPC) networking model for KubeVirt. For the managed Kubernetes, the singulus network stack achieves near line-rate performance without compromising any Kubernetes networking features. |