ICOIN 2021 Online Conference
Keynote Speeches
KEYNOTE #1
  • "Aerial Access Networks for 6G: From UAV, HAP, to Satellite Communication Networks"
  • Zhu Han
  • ECE Department and CS Department, University of Houston, USA
Abstract

Providing “connectivity from the sky” is one new innovative trend in wireless communications for beyond 5G or coming 6G communication systems. Satellites, high and low altitude platforms, drones, aircrafts, and airships are being considered as candidates for deploying wireless communications complementing the terrestrial communication infrastructure. Utilizing modern information network technologies and interconnecting space, air, and ground network segments, the aerial access network (AAN) has attracted many attentions from both academia and industry, which has been recognized as a potential solution for the 6G systems. AANs are subject to heterogeneous networks that are engineered to utilize satellites, high-altitude platforms (HAPs), and low-altitude platforms (LAPs) to build network access platforms. Compared to terrestrial wireless networks, AANs are characterized by frequently changed network topologies and more vulnerable communication connections. Furthermore, AANs have the demand for the seamless integration of heterogeneous networks such that the network quality-of-service (QoS) can be improved. Thus, designing mechanisms and protocols for AANs poses many challenges. To solve these challenges, extensive research has been conducted. Notice that AANs are not intended to replace the above existing technologies, but instead to work with them in a complementary and integrated fashion. However, design, analysis, and optimization of AANs require multidisciplinary knowledge, namely, knowledge of wireless communications and networking, signal processing, artificial intelligence (e.g., for learning), decision theory, optimization, and economic theory. Therefore, this talk first provides a general introduction to AANs integrated networks based on physical, MAC, and networking layer requirements, followed by some state-of-the-art of AANs along with possible applications.

Biography

Zhu Han received the B.S. degree in electronic engineering from Tsinghua University, in 1997, and the M.S. and Ph.D. degrees in electrical engineering from the University of Maryland, College Park, in 1999 and 2003, respectively. From 2000 to 2002, he was an R&D Engineer of JDSU, Germantown, Maryland. From 2003 to 2006, he was a Research Associate at the University of Maryland. From 2006 to 2008, he was an assistant professor in Boise State University, Idaho. Currently, he is a John and Rebecca Moores Professor in Electrical and Computer Engineering Department as well as Computer Science Department at University of Houston, Texas. His research interests include security, wireless resource allocation and management, wireless communication and networking, game theory, and wireless multimedia. Dr. Han is an NSF CAREER award recipient 2010. Dr. Han has several IEEE conference best paper awards, and winner of 2011 IEEE Fred W. Ellersick Prize, 2015 EURASIP Best Paper Award for the Journal on Advances in Signal Processing and 2016 IEEE Leonard G. Abraham Prize in the field of Communication Systems (Best Paper Award for IEEE Journal on Selected Areas on Communications). Dr. Han is the winner 2021 IEEE Kiyo Tomiyasu Award. He has been IEEE fellow since 2014, AAAS fellow since 2020 and IEEE Distinguished Lecturer from 2015 to 2018. Dr. Han is 1% highly cited researcher according to Web of Science since 2017.

KEYNOTE #2
  • "Networking at Terahertz Frequencies in 6G Wireless Systems"
  • Walid Saad
  • Virginia Tech, USA
Abstract

Communication at high-frequency terahertz (THz) bands is seen as a staple of the sixth generation (6G) of wireless cellular networks, due to the large amount of available bandwidth. However, 6G systems will have to support, not only high data rates, but also highly reliable communication links for emerging applications such as advanced wireless virtual reality (VR) systems. In particular, advanced wireless VR applications will impose new visual and haptic requirements that are directly linked to the quality-of-experience (QoE) of VR users. These QoE requirements can only be met by wireless 6G connectivity that offers high-rate and high-reliability low latency communications (HRLLC), unlike the low rates usually considered in vanilla 5G ultra-reliable low latency communication scenarios. Guaranteeing HRLLC in THz-enabled 6G systems requires dealing with the uncertainty that is specific to the THz channel. Therefore, in this talk, after a brief overview on our vision of 6G systems, we will explore the potential of THz for meeting HRLLC requirements. In this regard, we first quantify the risk for an unreliable VR performance through a novel and rigorous characterization of the tail of the end-to-end (E2E) delay. Then, we perform a thorough analysis of the tail-value-at-risk (TVaR) to concretely characterize the behavior of extreme wireless events crucial to the real-time VR experience. We use this analysis to derive system reliability for scenarios with guaranteed line-of-sight (LoS) as a function of THz network parameters. We then present simulation results that show how abundant bandwidth and low molecular absorption are necessary to improve the reliability, although their effect remains secondary compared to the availability of LoS, which significantly affects the THz HRLLC performance. We conclude our talk with an overview on extensions to this work as well as other key open problems in the realms of THz communications and 6G systems.

Biography

Walid Saad received his Ph.D degree from the University of Oslo in 2010. He is currently a Professor at the Department of Electrical and Computer Engineering at Virginia Tech, where he leads the Network sciEnce, Wireless, and Security (NEWS) laboratory. His research interests include wireless networks, machine learning, game theory, security, unmanned aerial vehicles, cyber-physical systems, and network science. Dr. Saad is a Fellow of the IEEE and an IEEE Distinguished Lecturer. He is also the recipient of the NSF CAREER award in 2013, the AFOSR summer faculty fellowship in 2014, and the Young Investigator Award from the Office of Naval Research (ONR) in 2015. He was the author/co-author of nine conference best paper awards at WiOpt in 2009, ICIMP in 2010, IEEE WCNC in 2012, IEEE PIMRC in 2015, IEEE SmartGridComm in 2015, EuCNC in 2017, IEEE GLOBECOM in 2018, IFIP NTMS in 2019, and IEEE ICC in 2020. He is the recipient of the 2015 Fred W. Ellersick Prize from the IEEE Communications Society, of the 2017 IEEE ComSoc Best Young Professional in Academia award, of the 2018 IEEE ComSoc Radio Communications Committee Early Achievement Award, and of the 2019 IEEE ComSoc Communication Theory Technical Committee. He was also a co-author of the 2019 IEEE Communications Society Young Author Best Paper. From 2015-2017, Dr. Saad was named the Stephen O. Lane Junior Faculty Fellow at Virginia Tech and, in 2017, he was named College of Engineering Faculty Fellow. He received the Dean's award for Research Excellence from Virginia Tech in 2019. He currently serves as an editor for most major IEEE Transactions.

KEYNOTE #3
  • "Networked Media Technology: Past, Present, and Future"
  • Kwang-sue Chung
  • Kwangwoon University, Korea
Abstract

In this talk, networked media refers to a technology for providing high-quality multimedia services through the Internet. According to the Cisco Visual Networking Index, most of Internet traffic is generated through videos, which is expected to increase up to 82% of the total traffic by 2022. Various video streaming platforms are responsible for continuously generating a majority of Internet traffic. Networked video technology will be the centerpiece of this talk. After a brief review of the past, the current status of networked media in the various application field such as IPTV, VoIP, Broadcasting, and OTT services will be reviewed. I will take a closer look at the field of adaptive video streaming, including some of our effort in designing context-aware mechanisms for the achievement of the high QoS/QOE. Latest research trends focusing on intelligent streaming will be discussed in connection with machine learning and 5G technology.

Biography

Dr. Kwangsue Chung is a professor at Department of Communication Engineering, Kwangwoon University, Seoul, Korea. Dr. Chung received his B.S. degree from Hanyang University, Korea, his M.S. degree from KAIST (Korea Advanced Institute of Science and Technology), Korea, Ph.D. degree from University of Florida, Gainesville, Florida, USA, all from the Electrical Engineering Department. Before joining the Kwangwoon University in 1993, he spent 10 years with the Electronics and Telecommunications Research Institute (ETRI) as a member of the research staff. He was also an adjunct professor at KAIST from 1991 to 1992 and a visiting scholar at the University of California, Irvine from 2003 to 2004. Dr. Chung was a Visiting Research Fellow at KETI (Korea Electronics Research Institute) from 2010 to 2011. He was the General Chair of ICOIN 2017 and ICOIN 2018, the TPC Chair of ICOIN 2008. He is also the Steering Committee Chair of Smart TV Forum and the Vice Chair of OCF Forum Korea. He organized Smart TV Global Summit from 2010 to 2016. His research interests include multimedia communications, streaming protocols over wired/wireless networks, QoS/QoE mechanisms, and context-aware adaptive communications. He has published over 600 journal and conference papers in addition to over 40 patents.

KEYNOTE #4
  • "Network Virtualization with SDN"
  • Chuck Yoo
  • Korea University, Korea
Abstract

Unlike server virtualization that proliferated clouds, network virtualization has not drawn much attention yet. With advent of 5G, network virtualization needs to be seriously incorporated as a key technology. However, the state-of-the-art network virtualization lacks the dimension of programmability, which hinders its deployment into network systems. This talk presents how to accommodate the dimension and make it suitable for clouds in the context of SDN (software defined networking). The goal here is to bring the network virtualization to the level of server virtualization so that tenants can utilize the network resources in the granularity that they desire.

Biography

Chuck Yoo received B.S. degree from Seoul National University in 1982, and M.S. and Ph.D degrees from University of Michigan, Ann Arbor, Michigan in 1986 and 1990 respectively. From 1990 to 1995, he was with Sun Microsystems, Mountain View, California, working on Sun’s operating systems. In 1995, he joined the computer science department of Korea University and served the dean of the College of Informatics for 5 years until Jan. of 2018.
He has been working on virtualization, starting with hypervisor for mobile phones, virtualized automotive platform, integrated SLA (service level agreement) for clouds and recently network virtualization including virtual routers and SDN. He hosted Xen Summit in Seoul in 2011 and served program committees of various conferences. In addition to publishing quite a number of papers, his research has influenced global industry leaders such as Samsung and LG to inspire and enhance their products.
His interests are also in working with the College of Medicine for precision medicine and also with the College of Law to bring up new and revised legislative bills for the fourth industrial revolution.

KEYNOTE #5
  • "A Statistical Perspective of Federated Learning"
  • Max Welling
  • University of Amsterdam, Netherlands
Abstract

Federated learning is emerging as an efficient and privacy preserving learning paradigm for large scale prediction algorithms. In this talk I will first discuss some well known federated learning algorithms, such as federated averaging as instances of the expectation maximization (EM) algorithm. In this new view it becomes much rather straightforward to enforce sparsity on the models leading to lower communication costs. We will also discuss a new method based on the mixture of experts' models to better handle heterogeneous data on clients.

Biography

Prof. Dr. Max Welling is a research chair in Machine Learning at the University of Amsterdam and a VP Technologies at Qualcomm. He has a secondary appointment as a fellow at the Canadian Institute for Advanced Research (CIFAR). Max Welling has served as associate editor in chief of IEEE TPAMI from 2011-2015. He serves on the board of the Neurips foundation since 2015 and has been program chair and general chair of Neurips in 2013 and 2014 respectively. He was also program chair of AISTATS in 2009 and ECCV in 2016 and general chair of MIDL 2018. He is a founding board member of ELLIS. Max Welling is recipient of the ECCV Koenderink Prize in 2010. He directs the Amsterdam Machine Learning Lab (AMLAB), and co-directs the Qualcomm-UvA deep learning lab (QUVA) and the Bosch-UvA Deep Learning lab (DELTA).

KEYNOTE #6
  • "Softwarized Low Power Long-range Emergency Communication Systems"
  • Mianxiong Dong
  • Muroran Institute of Technology, Japan
Abstract

"How to face the threat of large-scale emergencies like natural disasters" is always an important research topic. In the previous work, our research team focused on applying Low-Power Wide-Area Network (LPWAN) in rebuilding network architecture in the affected areas, which showed its feasibility in long-range connectivity but considerably limited to network throughput of data transmission. To find a better solution with high availability in guaranteeing emergency communications in disaster environments, we design a Software-Defined Radio (SDR) based system to cope with the complex and changeable communication demands under extreme conditions. Our approach mainly includes three parts. First, the channel management module solving the issues of channel arrangement with different needs on low data rate (text only) or high data rate (multimedia). Second, the online scheduling module focuses on dynamically adjusting the bandwidth allocation to ensure the maximum utilization of available network resources. Third, the scalability and flexibility research we dig into both the lifetime considerations and usage in non-emergency situations.

Biography

Mianxiong Dong received B.S., M.S. and Ph.D. in Computer Science and Engineering from The University of Aizu, Japan. He is the youngest ever Vice President and Professor of Muroran Institute of Technology, Japan. He was a JSPS Research Fellow with School of Computer Science and Engineering, The University of Aizu, Japan and was a visiting scholar with BBCR group at the University of Waterloo, Canada supported by JSPS Excellent Young Researcher Overseas Visit Program from April 2010 to August 2011. Dr. Dong was selected as a Foreigner Research Fellow (a total of 3 recipients all over Japan) by NEC C&C Foundation in 2011. He is the recipient of IEEE TCSC Early Career Award 2016, IEEE SCSTC Outstanding Young Researcher Award 2017, The 12th IEEE ComSoc Asia-Pacific Young Researcher Award 2017, Funai Research Award 2018, NISTEP Researcher 2018 (one of only 11 people in Japan) in recognition of significant contributions in science and technology, 2019 Best Paper Award for IEEE Transactions on Emerging Topics in Computing from IEEE Computer Society, and The 9th IEEE Asia-Pacific (AP) Outstanding Paper Award 2020 from Communication Society. He is Clarivate Analytics 2019 Highly Cited Researcher (Web of Science).

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