Dec. 4,2020 - Dec. 6,2020

Beijing · China

International ConferenceIEEE

on Space-Air-Ground Computing

2020

CON

TENTS

2020

Committee 03

Program 05

Keynote Speech 06

Invited Speech 13

Paper Session 21

Venue 24

International ConferenceIEEE

on Space-Air-Ground Computing

2020

IEEE SAGC 2020

Conference Committee> Honorary Chairs

Ping Zhang Beijing University of Posts and Telecommunications,China

Xuemin (Sherman) Shen University of Waterloo,Canada

> General Chairs

Shangguang Wang Beijing University of Posts and Telecommunications,China

Ching-Hsien Hsu UniAsia University,Taiwan

Qinyu Zhang Harbin Institute of Technology (Shenzhen),China

> Program Chairs

Ning Zhang University of Windsor,Canada

Ao Zhou Beijing University of Posts and Telecommunications,China

Minho Jo Korea University,South Korea

> Computing Track Chair

Xianfu Chen VTT Tech. Research Centre, Finland

Suzhi Cao Chinese Academy of Sciences, China

Kaijun Ren National Univ. of Defense Technology, China

> Communication Track Chair

Celimuge Wu Uni. of Electro-Communications, Japan

Nan Zhao Dalian University of Technology, China

Tingting Zhang HIT (Shenzhen), China

> Security and Privacy Track ChairMohamed Mahmoud Tennessee Technological Uni., USA

Dajiang Chen UESTC, China

Kok-Seng Wong VinUniversity, Vietnam

> Web Chair

Jingyun Wang Beijing University of Posts and Telecommunications,China

> TPC MemberXianfu Chen VTT Tech. Research Centre, Finland

Suzhi Cao Chinese Academy of Sciences, China

Kaijun Ren National Univ. of Defense Technology, China

Celimuge Wu Uni. of Electro-Communications, Japan

Nan Zhao Dalian University of Technology, China

Tingting Zhang HIT (Shenzhen), China

Mohamed Mahmoud Tennessee Technological Uni., USA

Dajiang Chen UESTC, China

Kok-Seng Wong VinUniversity, Vietnam

Sai Mounika Errapotu University of Texas at El Paso, USA

Zhi Liu Shizuoka University, Japan

Hassan Aboubakr Omar Huawei Inc., Ottawa, Canada

Xuanli Wu Harbin Institute of Technology, China

Khalid Aldubaikhy Qassim University, Saudi Arabia

Tao Huang James Cook University, Australia

Muhammad Ismail Tennessee Tech University, USA

Huaqing Wu University of Waterloo, Canada

Tao Han University of North Carolina at Charlotte, USA

> Publication ChairLingyan Zhang Central South University,China

Chunhe Song Chinese Academy of Sciences, China

Rongfei Fan Beijing Institute of Technology, China

PROGRAM Time Content Speaker Session Chair

4-Dec.BUPT HotelConference

Room 5

9:00-9:30 Opening Ceremony

Shangguang Wang,BUPT

9:30-10:10 Keynote Speech 1 Prof. Yunhao Liu, ACM/IEEE Fellow, Tsinghua University

Coffee Break

10:20-11:00 Keynote Speech 2 Dr. Jun Xu, Deputy Chief Designer, CASIC

11:00-11:40 Keynote Speech 3 Prof. Xuanzhe Liu, Peking Univesity

Launch

13:30-14:00 Invited Speech 1 Prof. Mianxiong Dong, Muroran Institute of Technology, Japan

Yingjie Wang, Yantai University

14:00-14:30 Invited Speech 2 Prof. Ye Yuan, Beijing Institute of Technology, China

14:30-15:00 Invited Speech 3 Prof. Tie Qiu, Tianjin University, China

15:00-15:30 Invited Speech 4 Dr. Mengwei Xu, Beijing University of Posts and Telecommunications

Coffee Break

15:40-16:40 Invited Speech 5 Prof. Zhe Liu, Nanjing University of Aeronautics and Astronautics

Lingyan Zhang, Central South

University

16:10-16:40 Invited Speech 6 Prof. Jiliang Wang, Tsinghua University

16:40-17:10 Invited Speech 7 Dr. Shuo Wang, China Mobile Research Institute

17:10-17:40 Invited Speech 8Dr. Suzhi Cao, Technology and Engineering Center for Space Utilization

17:40-18:10 Invited Speech 9 Prof. Hongbo Zhao, Beihang University

18:10 Banquet

5-Dec.VooV Meeting

(Tencent Meeting)

399 160 147

8:30-9:10 Keynote Speech 4 Prof. Xiaojiang Du, IEEE Fellow , Temple University, USA Ning Zhang,

University of Windsor9:10-9:50 Keynote Speech 5 Prof. Zhu Han , IEEE Fellow,

University of Houston, USA

10:00-11:20 Paper Session 1 Computing Session 1 Yuanzhe Li,BUPT

VooV Meeting (Tencent Meeting)

521 786 845

14:00-15:00 Paper Session 2 Computing Session 2 Qing Li,BUPT

15:00-16:20 Paper Session 3 Communication Session 1 Lipei Yang,BUPT

6-Dec.VooV Meeting

(Tencent Meeting)

370 408 963

8:30-9:10 Keynote Speech 6 Prof. Lin Cai, IEEE Fellow , University of Victoria, Canada Mengwei Xu,

BUPT

9:10-9:50 Keynote Speech 7 Prof. Stephen S. Yau, IEEE Fellow, Arizona State University, USA

9:50-10:50 Paper Session 4 Communication Session 2 Jinliang Yuan,BUPT

10:50-12:20 Paper Session 5 Security Session Qiyang Zhang,BUPT

IEEE SAGC 2020

KEYNOTE SPEECH

Yunhao Liu

Keynote Speech 1

AIOT: Artificial Intelligence in the Edge

Prof. Yunhao Liu, ACM/IEEE Fellow, Tsinghua University 4-Dec. 9:30-10:10

《AIOT: Artificial Intelligence in the Edge》

Yunhao Liu, ACM Fellow and IEEE Fellow, Editor in Chief of ACM Transactions on Sensor Networks, Chang Jiang Professor and Dean of GIX at Tsinghua University.

IEEE SAGC 2020

KEYNOTE SPEECH

Jun Xu

Keynote Speech 2

Wideband Mobile Satellite Communication Protocols and Networking

Dr. Jun Xu, Deputy Chief Designer, CASIC 4-Dec. 10:20-11:00

《Wideband Mobile Satellite Communication Protocols and Networking》

We proposed a novel wideband mobile satellite communication system, including physical

and upper layer protocols for space-ground integrated wireless transmission. With

advancing DVB S2/S2X to support mobility, we developed a complete solution for hybrid

GEO/LEO networks. The system supports both bent-pipe and regenerative satellites.

Dr Xu received his PhD from University of Waterloo. His expertise covers

satellite and wireless communication protocols and standardization with focus

on DVB S2/S2X, 3GPP, IETF, etc. As a designer of several world most

popular GEO and LEO satellite systems, he was an inventor of 25 US patents

as well as many international patents. He is vice Chief Designer of CASIC

and Chair of Satellite Networking Technical Committee of CCSA.

IEEE SAGC 2020

KEYNOTE SPEECH

Xuanzhe Liu

Keynote Speech 3

Next-Generation Intelligent Software Systems: From Centralization to Ubiquity

Prof. Xuanzhe Liu, Peking Univesity 4-Dec. 11:00-11:40

《Next-Generation Intelligent Software Systems: From Centralization to Ubiquity》

With the fast deployment and wide coverage of networks, software systems play the increasingly

important role to interconnect the information space, physical space, and human society. The advanced

machine learning techniques have been increasingly important core components in modern software

systems and them more adaptive and intelligent. It leaves huge space for system researchers and

practitioners to invent new architectures, abstractions, and technologies. Currently, such systems are

typically “centralized”, i.e., collecting a large volume of data from millions or billions of client devices

onto the cloud and performing the analytics. However, we argue that the centralized fashion may not be

always adequate for all application scenarios, given the increasing capability of mobile/IoT devices, wide

deployment of edge appliances, and especially concerns of data privacy. In this talk, we envision some

recent trends of making intelligence more “ubiquitous” out of only the cloud. We will talk about the

key technologies that can drive the trend, including the programming model, containers, collaborative

learning, and so on.

Dr. Xuanzhe Liu is now an associate professor with the School of Electronics

Engineering and Computer Science in Peking University. His recent interests are

in the areas of systems software for Web, services computing, mobile computing,

and machine learning. He has published over 70 referred papers in prestigious

conferences like WWW, ICSE, FSE MobiCom, MobiSys, etc., and peer-reviewed

journals like ACM TOSEM/TOIS and IEEE TSE/TMC, etc. He received the Best

Paper Awards from WWW 2019, ICSS 2010, CyberC 2009. He was recognized

as the Young Scientist Award that was co-awarded by China Computer

Federation (CCF) and IEEE Computer Society, the Rising Star Award of IEEE

Technical Committee on Services Computing, and other various awards. He was

awarded as the “Most Respected and Esteemed Teacher” in 2019, which was

completely voted by the students from Peking University, and the Distinguished

Teaching Award in 2018.

IEEE SAGC 2020

KEYNOTE SPEECH

Xiaojiang Du

Keynote Speech 4

e-SAFE: Secure, Efficient and Forensics-Enabled Access to Wireless Implantable Medical Devices

Prof. Xiaojiang Du, IEEE Fellow , Temple University, USA 5-Dec. 8:30-9:10

《e-SAFE: Secure, Efficient and Forensics-Enabled Access to Wireless Implantable Medical Devices》

To facilitate monitoring and management, modern Implantable Medical Devices (IMDs) are often equipped with wireless capabilities, which raise the risk of malicious access to IMDs. Although schemes are proposed to secure the IMD access, some issues are still open. First, pre-sharing a long-term key between a patient’s IMD and a doctor’s programmer is vulnerable since once the doctor’s programmer is compromised, all of her patients suffer; establishing a temporary key by leveraging proximity gets rid of pre-shared keys, but as the approach lacks real authentication, it can be exploited by nearby adversaries or through man-in-the-middle attacks. Second, while prolonging the lifetime of IMDs is one of the most important design goals, few schemes explore to lower the communication and computation overhead all at once. Finally, how to safely record the commands issued by doctors for the purpose of forensics, which can be the last measure to protect the patients’ rights, is commonly omitted in the existing literature. Motivated by these important yet open problems, we propose an innovative scheme e-SAFE, which significantly improves security and safety, reduces the communication overhead and enables IMD-access forensics. We present a novel lightweight compressive sensing based encryption algorithm to encrypt and compress the IMD data simultaneously, reducing the data transmission overhead by over 50% while ensuring high data confidentiality and usability. Furthermore, we provide a suite of protocols regarding device pairing, dual-factor authentication, and accountability-enabled access. The security analysis and performance evaluation show the validity and efficiency of the proposed scheme.

Dr. Xiaojiang (James) Du is a tenured Full Professor and the Director of the Security And Networking (SAN) Lab in the Department of Computer and Information Sciences at Temple University, Philadelphia, USA. Dr. Du received his B.S. and M.S. degree in Electrical Engineering (Automation Department) from Tsinghua University, Beijing, China in 1996 and 1998, respectively. He received his M.S. and Ph.D. degree in Electrical Engineering from the University of Maryland, College Park in 2002 and 2003, respectively. His research interests are security, wireless networks, and systems. He has authored over 460 journal and conference papers in these areas, as well as a book published by Springer. Dr. Du has been awarded more than 6 million US Dollars research grants from the US National Science Foundation (NSF), Army Research Office, Air Force Research Lab, NASA, the State of Pennsylvania, and Amazon. He won the best paper award at IEEE ICC 2020, IEEE GLOBECOM 2014 and the best poster runner-up award at the ACM MobiHoc 2014. He serves on the editorial boards of three international journals. Dr. Du served as the lead Chair of the Communication and Information Security Symposium of the IEEE International Communication Conference (ICC) 2015, and a Co-Chair of Mobile and Wireless Networks Track of IEEE Wireless Communications and Networking Conference (WCNC) 2015. He is (was) a Technical Program Committee (TPC) member of several premier ACM/IEEE conferences such as INFOCOM (2007 - 2020), IM, NOMS, ICC, GLOBECOM, WCNC, BroadNet, and IPCCC. Dr. Du is an IEEE Fellow and a Life Member of ACM.

IEEE SAGC 2020

KEYNOTE SPEECH

Zhu Han

Keynote Speech 5

Aerial Access Networks for 6G: From UAV, HAP, to Satellite Communication Networks

Prof. Zhu Han , IEEE Fellow, University of Houston, USA 5-Dec. 9:10-9:50

《Aerial Access Networks for 6G: From UAV, HAP, to Satellite Communication Networks》

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.

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.

IEEE SAGC 2020

KEYNOTE SPEECH

Lin Cai

Keynote Speech 6

High-reliability and low-latency LEO satellite backbone with directed percolation routing

Prof. Lin Cai, IEEE Fellow , University of Victoria, Canada 6-Dec. 8:30-9:10

《High-reliability and low-latency LEO satellite backbone with directed percolation routing》

With tens of thousands Low Earth Orbit (LEO) satellites covering Earth, LEO satellite networks can provide coverage and services that are otherwise not possible using terrestrial communication systems. The regular and dense LEO satellite constellation also provides new opportunities and challenges for network architecture and protocol design. In this talk, we introduce a new routing strategy named Directed Percolation Routing (DPR), aiming to provide Ultra-Reliable and Low-Latency Communication (URLLC) services over long distances. Given the long propagation delay and uncertainty of LEO communication links, using DPR, each satellite routes a packet over several Inter-Satellite-Links (ISLs) towards the destination, without relying on link-layer retransmissions. Considering the link redundancy overhead and delay/reliability tradeoff, DPR can control the size of percolation. Using the Starlink constellation as an example, we demonstrate that with DPR, the inter-continent propagation delay can be reduced by about 4 to 21 ms, while the reliability can be several orders higher than single-path optimal routing.

Lin Cai received her M.A.Sc. and PhD degrees (awarded Outstanding Achievement in Graduate Studies) in electrical and computer engineering from the University of Waterloo, Waterloo, Canada, in 2002 and 2005, respectively. Since 2005, she has been with the Department of Electrical & Computer Engineering at the University of Victoria, and she is currently a Professor. She is an NSERC E.W.R. Steacie Memorial Fellow and an IEEE Fellow. In 2020, she was elected as a Member of the Royal Society of Canada's College of New Scholars, Artists and Scientists. Her research interests span several areas in communications and networking, with a focus on network protocol and architecture design supporting emerging multimedia traffic and Internet of Things.

She was a recipient of the NSERC Discovery Accelerator Supplement (DAS) Grants in 2010 and 2015, respectively, and the Best Paper Awards of IEEE ICC 2008 and IEEE WCNC 2011. She has founded and chaired IEEE Victoria Section Vehicular Technology and Communications Joint Societies Chapter. She has been elected to serve the IEEE Vehicular Technology Society Board of Governors, 2019-2021. She has served as an area editor for IEEE Transactions on Vehicular Technology, a member of the Steering Committee of the IEEE Transactions on Big Data (TBD) and IEEE Transactions on Cloud Computing (TCC), an Associate Editor of the IEEE Internet of Things Journal, IEEE Transactions on Wireless Communications, IEEE Transactions on Vehicular Technology, IEEE Transactions on Communications, EURASIP Journal on Wireless Communications and Networking, International Journal of Sensor Networks, and Journal of Communications and Networks (JCN), and as the Distinguished Lecturer of the IEEE VTS Society. She has served as a TPC co-chair for IEEE VTC2020-Fall, and a TPC symposium co-chair for IEEE Globecom'10 and Globecom'13. She is a registered professional engineer in British Columbia, Canada.

IEEE SAGC 2020

KEYNOTE SPEECH

Stephen S. Yau

Keynote Speech 7

Trusted Coordination of Collaborative Services Development for Effective Space-Air-Ground Computing

Prof. Stephen S. Yau, IEEE Fellow, Arizona State University, USA 6-Dec. 9:10-9:50

《Trusted Coordination of Collaborative Services Development for Effective Space-Air-Ground Computing》

There are many major challenges to achieving effective space-air-ground computing (SAGC).

Due to the extensive, large-scale and complicated SGAC requirements and operations, the

developments of an SABC services project usually involves many teams with specific expertise

and different resources. These teams are often operating in a distributed environment, even if

they are in the same organization. The success of such development heavily relies on the

trusted coordination of all these teams during the entire development cycle. In this address,

how to achieve trusted coordination among all the teams for developing a large-scale and

complicated SAGC project. including the use of blockchain technology, will be discussed.

Stephen S. Yau is Professor of Computer Science and Engineering at Arizona State University (ASU), Tempe, Arizona, USA. He served as the chair of the Department of Computer Science and Engineering, and later as the director of Information Assurance Center at ASU. Previously, he was on the faculties of Northwestern University, Evanston, Illinois, and University of Florida, Gainesville.

Dr. Yau served as the president of the IEEE Computer Society and the editor-in-chief of IEEE COMPUTER magazine. He organized many major conferences. He served as the chair of the Organizing Committee of the 1989 World Computer Congress sponsored by the International Federation for Information Processing, and the general chair of the 2018 IEEE World Congress on Services. His current research includes services computing, cybersecurity, software engineering, distributed computing systems, IoT, and blockchain. He has received many awards and recognitions, including the Tsutomu Kanai Award and Richard E. Merwin Award of the IEEE Computer Society, and the Outstanding Contributions Award of the Chinese Computer Federation. He is a Fellow of the IEEE and the American Association for the Advancement of Science. He received the Ph.D. degree from the University of Illinois, Urbana, in electrical engineering.

IEEE SAGC 2020

INVITED SPEECH

Mianxiong Dong

Invited Speech 1

Aero, Terra, Human: Next Generation Disaster Response Platform

Prof. Mianxiong Dong, Muroran Institute of Technology, Japan 4-Dec.13:30-14:00

《Aero, Terra, Human: Next Generation Disaster Response Platform》

"How to face the threat of natural disasters" is always an important research topic. Currently, the mainstream research of disaster management is how to accurately and promptly forecast and notify such as earthquake early warning, but since complete disaster prevention is impossible, we still have to focus on the rapid response after disasters. In addition, to gain insight into the real-time situation of the affected area, we need the two-way communication between affected area and outside world. However, once the network infrastructure suffers from disasters, connections can be interrupted and support cannot reach affected area. Moreover, it is difficult to reconstruct the communication line from scratch. In order to achieve a set of post-disaster two-way communication solutions not relying on traditional network infrastructure, we design a next generation disaster response platform. There are mainly three problems to solve in this platform. First, the connections among users near to each other. Second, the connections between users and access points (APs). Third, the connections between APs and access network to outside world. To figure out first problem, we are going to make use of Device-to-Device (D2D) emergency communication in gathering users within the range of 100+m. Then for the second one, we take advantage of the high mobility of UAVs in fast building the emergency network with the range of 1000+m. For the third one, to realize the connection to outside world, we apply lower power wide area network (LPWAN) to expand the range to 10000+m.

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).

IEEE SAGC 2020

INVITED SPEECH

《Querying Shortest Path on Large Time Dependent Networks》

A graph is one of the most common data models, which is widely used in databases (e.g., road

traffic networks, social networks). However, in the real world, the structure of data is not static,

but usually changes according to some specific factors (e.g., time). Therefore, the time-

dependent graph was developed. Due to the different time model, time-dependent graphs

can be divided into two categories: discrete time-dependent graphs (e.g., subway networks,

railroad networks) and continuous time-dependent graphs (e.g., road networks). In this report,

we will first introduce the background and characteristics of the time-dependent graphs and

their impact on shortest path queries due to their practical applications. Secondly, we describe

in detail the two types of time-dependent models, as well as the existing works on them.

Finally, we introduce a more general model that can universally solve shortest path queries on

time-dependent graphs.

Ye Yuan

Ye Yuan is a professor and doctoral supervisor in the School of Computer

Science and Technology, Beijing Institute of Technology. He is honored with the

NSFC Outstanding Young Scholar. He was awarded the First Prize for Scientific

and Technological Progress by the Ministry of Education and Liaoning Province,

the National Nomination Award for Excellent Doctoral Dissertation, and the

Excellent Doctoral Dissertation Award by the CCF. Dr. Yuan is a member of CCF

Technical Committee on Databases, a senior member of CCF, ACM and IEEE,

and a visiting scholar at the Hong Kong University of Science and Technology,

the University of Hong Kong, and the University of Edinburgh, UK. The research

interests of Dr. Yuan include graph data management, crowdsourced data

management and data privacy. He has published more than 70 papers in top

conferences/journals such as SIGMOD, VLDB, ICDE, VLDB Journal, IEEE Trans.

TKDE and IEEE Trans. TPDS

Invited Speech 2

Querying Shortest Path on Large Time Dependent Networks

Prof. Ye Yuan, Beijing Institute of Technology, China 4-Dec.14:00-14:30

IEEE SAGC 2020

INVITED SPEECH

《Smart Internet of Things: Self-organization to Topology Evolution》

Smart Internet of Things (IoT) includes numerous sensing nodes, sink nodes and heterogeneous devices. For the large scale networks, the conventional self-organization strategies are difficult to adapt the dynamic networking. Genetic algorithms are prone to falling into premature convergence owing to the lack of global search ability caused by the loss of population diversity during evolution. This talk combines the population state with the evolutionary process and proposes an Adaptive Robustness Evolution Algorithm (AREA) with self-competition for scale-free IoT topologies. In AREA, the crossover and mutation operations are dynamically adjusted according to population diversity to ensure global search ability. Moreover, a self-competitive mechanism is used to ensure convergence. Finally, the future trends for smart IoT will be discussed.

Tie Qiu

Invited Speech 3

Smart Internet of Things: Self-organization to Topology Evolution

Prof. Tie Qiu, Tianjin University, China 4-Dec.14:30-15:00

Tie Qiu is currently a Full Professor at School of Computer Science and Technology, Tianjin University, China. He holds Young Changjiang (Yangtze River) Scholar Award (2018) and Peiyang Scholar award of Tianjin University. Prior to this position, he held assistant professor in 2008 and associate professor in 2013 at School of Software, Dalian University of Technology. He was a visiting professor at department of electrical and computer engineering of Iowa State University in U.S. (2014-2015). He serves as an associate editor of IEEE Transactions on Network Science and Engineering (TNSE) and IEEE Transactions on Systems, Man, and Cybernetics: Systems, area editor of Ad Hoc Networks (Elsevier), associate editor of Computers and Electrical Engineering (Elsevier), Human-centric Computing and Information Sciences (Springer), a guest editor of Future Generation Computer Systems. He serves as General Chair, Program Chair, Workshop Chair, Publicity Chair, Publication Chair or TPC Member of a number of international conferences. He has authored/co-authored 9 books, over 150 scientific papers in international journals and conference proceedings, such as IEEE/ACM Transactions on Networking, IEEE Transactions on Mobile Computing, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Industrial Informatics, IEEE Communications Surveys & Tutorials, IEEE Communications, INFOCOM, GLOBECOM etc. There are 10 papers listed as ESI highly cited papers. He has contributed to the development of 4 copyrighted software systems and invented 16 patents. He is a senior member of China Computer Federation (CCF) and a Senior Member of IEEE and ACM.

IEEE SAGC 2020

INVITED SPEECH

《AI Systems towards Mobile and Edge Devices》

AI is becoming pervasive and ubiquitous, existing in every corner of our computing world.

Traditional AI tasks, especially those driven by deep learning algorithm, are deployed in a

cloud-centric fashion, which comes with the cost of user privacy and unstable network delay.

Can we push the AI workloads into the network edge, with as little help from cloud as possible?

In this talk, I will present our efforts towards this direction. We've built systems & software to

address the performance and privacy issues of AI applications on various edge devices

(smartphone, wearables, and cameras). Those systems combine the domain-specific

knowledge of different workloads and platforms with the recent advances from AI community,

thus provide significant benefits compared to prior work.

Mengwei Xu

Invited Speech 4

AI Systems towards Mobile and Edge Devices

Dr. Mengwei Xu, Beijing University of Posts and Telecommunications 4-Dec.15:00-15:30

Mengwei Xu is now an assistant professor, doctoral advisor in Beijing University

of Posts and Telecommunications (BUPT). He hold both doctoral and bachelor

degrees from Peking University. He was also a visiting scholar in Purdue

University and Microsoft Research Asia. Dr. Xu has published 10+ papers on top

venues including MobiCom/MobiSys/UbiComp/IEEE TMC, and served as TPC

member or reviewer at ICDCS/UbiComp/ICWS/IEEE TMC. His research mainly

centers around mobile and edge computing.

IEEE SAGC 2020

INVITED SPEECH

《Memory-Efficient Montgomery Curve Cryptography Implementation》

Nowadays, billions of resource-constrained IoT devices have been deployed into our lives. IoT

has been applied to many industries around the world, including precision agriculture,

healthcare, energy, transportation, building management etc. While IoT brings us a lot of

conveniences, a number of serious concerns about dangers in the growth of IoT, especially in

the areas of security and privacy. Public-key cryptography (PKC), especially Elliptic Curve

Cryptography (ECC), is one of the major tools to defend data security and privacy. However,

the IoT devices are usually resource-constrained and it's difficult to implement the

complicated public-key cryptography on IoT devices. Massive efforts are required to carefully

reduce the code size and offer memory-efficient implementation of ECC while maintaining

high efficiency. In this presentation, I will present several memory-efficient techniques for

Montgomery Curve on resource-constrained IoT devices.

Zhe Liu

Invited Speech 5

Memory-Efficient Montgomery Curve Cryptography Implementation

Prof. Zhe Liu, Nanjing University of Aeronautics and Astronautics 4-Dec.15:40-16:40

Zhe Liu is a professor in the College of Computer Science and Technology,

Nanjing University of Aeronautics and Astronautics and program manager in

National Natural Science Foundation of China. He received the B.S. and M.S.

degrees from Shandong University, China, in 2008 and 2011, respectively, and

the Ph.D. degree from the Laboratory of Algorithmics, Cryptology and Security,

University of Luxembourg, Luxembourg, in 2015. His research interests include

security, privacy and cryptography solutions for the Internet of Things. He has co-

authored over 100 research peer-reviewed journal and conference papers. He

was a recipient of the prestigious FNR Awards-Outstanding Ph.D. Thesis Award

in 2016, ACM CHINA SIGSAC Rising Star Award in 2017 as well as DAMO

Academy Young Fellow in 2019. He has served as program committee member

in more than 50 international conferences.

IEEE SAGC 2020

INVITED SPEECH

《Low Power Wide Area Networks: Opportunities & Challenges》

Recently, Low Power Wide Area Networks (LPWANs) have shown its promising in connecting

millions of devices in the age of Internet of Things, attracting much interest in both academia

and industry. LPWANs act as an important communication technique for connecting IoT

devices by providing long-distance and low-power communication under a low SNR. In this

talk, I will introduce the background, current status of LPWANs as well as the opportunities for

Internet of Things. Meanwhile, I will also discuss the challenges of LPWANs towards the vision

of ubiquitously connecting devices in Internet of Things, and our approaches to address those

challenges.

Jiliang Wang

Invited Speech 6

Low Power Wide Area Networks: Opportunities & Challenges

Prof. Jiliang Wang, Tsinghua University 4-Dec.16:10-16:40

Jiliang Wang is an Associate Professor in School of Software, Tsinghua

University. His research mainly focuses on Internet of things and mobile

computing including low power wireless communication in IoTs (e.g., LPWANs,

wireless backscatter), sensing with various signals in IoTs (e.g., sensing and

tracking with WiFi, sound, LoRa, UWB, etc.), and efficient computing on the edge

and IoT devices. His research results have been published in ACM MobiCom,

ACM MobiSys, IEEE INFOCOM, IEEE ICNP, IEEE RTSS, IEEE/ACM

Transactions on Networking, and IEEE Transactions on Mobile Computing, etc.

He has served as the TPC member for various academic conferences including

IEEE INFOCOM, IEEE ICDCS, IEEE MASS, etc., the publication chair for ACM

TURC, the publicity chair for IEEE SECON, etc. He has won the best paper

award in IEEE MSN 2016, spotlight paper of IEEE TPDS, etc.

IEEE SAGC 2020

INVITED SPEECH

《B5G Standardization Progress of Terrestrial Satellite Integrated Network》

The main international standardization groups and specifications regarding the integration of satellite and 5G system is introduced. Then the progress of standardization of mainly 3GPP and ITU are elaborated. The work progress of SA group and RAN group of 3GPP

Including requirement, architecture and management are introduced respectively. Finally，the future directions of standardization in satellite and 5G integration are summarized.

Shuo Wang

Invited Speech 7

B5G Standardization Progress of Terrestrial Satellite Integrated Network

Dr. Shuo Wang, China Mobile Research Institute 4-Dec.16:40-17:10

Wang Shuo, received the Ph.D. degree in information and communication engineering from the Beijing University of Posts and Telecommunications (BUPT), Beijing, China, in 2019. He is currently working at the Department of network and IT technology, China Mobile Research Institute. He is mainly engaged in the research of 3GPP international standardization, B5G / 6G network new technology, space-air-terrestrial integrated network architecture, etc.

IEEE SAGC 2020

INVITED SPEECH

《Mobile Edge Computing Enable Space-air-ground integrated network》

Edge computing technologies are sparking innovation of satellite network. In the traditional satellite network, the massive data are delivered to ground data center for processing, causing the overload of satellite network and the long response time of users. In recent years, edge computing has been envisaged as a promising solution to these challenges. In satellite edge computing, satellites are equipped with sufficient computing resources and the intelligent control system to process the data collected from satellite payloads or ground IoT devices, and the processing result will be directly sent to the user by the satellite. Based on the support of satellite network technology, cross-satellite parallel and distributed computing can also be realized in smart satellite cluster, providing faster and better services for users. In this speech, we first introduce the motivation and challenges of satellite edge computing. Then, we focus on and analyze the key issues of satellite edge computing about space-based real-time services: computing architecture design, resource characterization, resource allocation, resource management and scheduling, computation offloading, and service migration. This paper provides potential solutions and new ideas for the future research in this field.

Suzhi Cao

Invited Speech 8

Mobile Edge Computing Enable Space-air-ground integrated network

Dr. Suzhi Cao, Technology and Engineering Center for Space Utilization 4-Dec.17:10-17:40

Suzhi Cao received the bachelor’s degree and the master’s degree from Tianjin University in 2004 and 2007 respectively. She received the PhD degree from Academy of Opto-electronics, Chinese Academy of Sciences in 2020. Dr. Cao is currently an associate professor at Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences.Her research interests include Satellite Network, Edge Computing and Distributed Computing. She has published dozens of papers in the field of Satellite Edge Computing, which includes satellite MEC architecture design, resource management and scheduling, computing offloading, and service migration. She also has a strong research interest in spatial information network technology, spatial optical switching and routing technology, and has published many high-level papers. Now she is the member of the National Standardization Technical Committee for Opto electronic Measurement.

IEEE SAGC 2020

INVITED SPEECH

《Collaborative edge computing for computation offloading in LEO satellite networks》

As a new type of network architecture, the Satellite-terrestrial Network integrates ground and satellite networks, which covers natural spaces such as space, aviation, land, and ocean, and ensures the information needs of various user activities such as space-based, land-based and sea-based. It provides a ubiquitous and reliable network, but also faces some new challenges, especially when it meets the growing demand of users for quality of service. With the rapid development of computation-intensive and latency-sensitive applications such as speech recognition, face recognition, intelligent transportation and 3D games, the Satellite-terrestrial Network is required to provide users with various computing services. In this case, people can offload part of or all computing tasks of the user terminal to the data center through computing offloading, and utilize the computing resources of the data center to complete these tasks. However, the data center is usually built in a ground area far away from the user terminal, which results in high transmission cost and service delay, and may not meet different requirements of various users for quality of service in the network. To process these computation-intensive and latency-sensitive tasks effectively and meet the requirements of users, mobile edge computing (MEC) has emerged as a new computing model. MEC refers to sinking some resources in the cloud center to the edge of the network, so that data can be processed at the edge of the network. We introduce the idea of MEC in the mobile network into the Satellite-terrestrial Network. The core idea is to extend the cloud computing platform to network edge or user terminal, providing users with multiple levels and heterogeneous computing resources, and enabling users to obtain computing services from anywhere in the world. And the network can improve user service experience and reduce redundant network traffic. As one of the key technologies of MEC, computation offloading refers to the technology that device terminals hand over part or all computing tasks to the cloud computing environment for processing. How to efficiently offload tasks and allocate resources reasonably is a hot issue in this field. Therefore, this talk first introduces the basic theory of MEC and computation offloading. Then, the architecture of MEC enabled the Satellite-terrestrial Network is proposed, and key technology is summarized and analyzed.

Hongbo Zhao

Invited Speech 9

Collaborative edge computing for computation offloading in LEO satellite networks

Prof. Hongbo Zhao, Beihang University 4-Dec.17:40-18:10

Hongbo Zhao is an associate professor in the School of Electronic and Information Engineering, Beihang University, Beijing, China. He received Ph.D. degree in communication and information system from Beihang University in 2013. He has been teaching there since 2013. From 2011 to 2012, he was a visiting scholar at the School of Navigation and Mapping, University of Nottingham, UK. From 2012 to 2013, he was a visiting scholar at School of Computer Science, Ohio State University, USA. He has long been engaged in scientific research in the fields of satellite navigation and satellite communications. His current research interests include the Satellite-terrestrial Network, edge computing, computation offloading. From 2014 to 2016, he was a project leader for comprehensive design, simulation verification and test evaluation of advanced navigation signal system, National 973 project. From 2015 to 2017, he was committed to the development and key technology research of high dynamic GPS receivers, which was supported by the National Natural Science Foundation of China. Since 2017, he has dedicated to Beidou navigation satellite ground verification system, which was supported by Aerospace R&D Center of General Armament Department. In recent years, he successively presided and completed more than ten national projects about satellite navigation and the Satellite-terrestrial Network. And now, he works as a director of Navigation and Location Service Center, Beihang University. He is a member of China Global Positioning System Satellite Navigation Committee and a member of Chinese Institute of Electronics. He won many state and ministerial technical prizes, and published more than 30 academic papers.

IEEE SAGC 2020

PAPER SESSION

Computing Session 1 5-Dec. 10:00-11:20

ID:21 Joint Route Planning and Traffic Signal Timing for Connected Vehicles: An Edge Cloud Enabled Multi-Agent Game Method

Bo Chen, Quan Yuan, Jinglin Li, Jiawei Lu, Bichuan Zhu

ID:37 Stackelberg Game based Computation Offloading and Resource Allocation in Mobile Edge Computing Tengwei Wang; Qibo Sun

ID:6 Distributed Task Offloading and Resource Allocation in Vehicular Edge Computing

Shichao Li, Hongbin Chen, Siyu Lin, Ning Zhang

ID:26 UAV-Assisted Cellular System: Offloading Strategy and Bandwidth Allocation

Leilei Cao, Wanli Ni, Hui Tian, Meihui Hua, Guoliang Hao

Computing Session 2 5-Dec. 14:00-15:00

ID:36A Cloud Storage Framework for Massive Meteorological and Oceanographic Data and the Application of Virtualization Technology

Song Wu, Xiang Wang, Bo Tang, Xiaoyong Li, Junxing Zhu, Kefeng Deng

ID:18 A 23.8Tbps Random Number Generator on a Single GPU Shixin Liao, Yang Sun, Suzhi Cao, Lei Yang

ID:10 Frequency-domain Dual Component Computation Diversity for OFDM System

Yuqing Feng, Xiaojie Fang, Chengfang Li, Xuejun Sha

Communication Session 1 5-Dec. 15:00-16:20

ID:15 5G-enabled Optimal Bi-Throughput for UAS Swarm Networking

Jian Wang, Yongxin Liu, Shuteng Niu, Houbing Song

ID:27 On Link Performance According to Flight Route in Drone-Based Wide Area Wireless Sensor Networks

Budi Mr Rahmadya, Masahiro Umehira, Xiaoyan Wang, Shigeki Takeda

ID:14 A Full Link Wideband Predistortion Based on Under-sampled Feedback Signal for Satellite Communications Shining Tian, Dewei Yang

ID:31 A Novel MAC Protocol for VDES in Space-Air-Ground-Sea Integrated Networks (Short Paper)

Xu Hu, Bin Lin, Ping Wang, Ying Wang

IEEE SAGC 2020

Communication Session 2 6-Dec. 9:50-10:50

ID:23 Load Forecasting-Based Congestion Control Algorithm for Delay-Tolerant Networks Junwei Ji

ID:11 Research and Backoff Algorithm Improvement of Statistical Priority-based Multiple Access Protocol Yongjian Li, Zhuoming Li

ID:38 Ultra Low-latency MAC/PCS IP for High-speed Ethernet (Short Paper)

Dezheng Yuan, Hongwei Kan, Shangguang Wang

Security Session 6-Dec. 10:50-12:20

ID:8 Multi-Authority CP-ABE with Dynamical Revocation in Space-Air-Ground Integrated Network

ZhiShuo Zhang, Wei Zhang, Zhiguang Qin

ID:28 Hybrid Precoding for IRS-assisted Secure mmWave Communication System with SWIPT

Jianghao Xue, Xin Zhou, Chao Wang, Danyang Wang, Yue Zhao, Zan Li

ID:25 LDPC Code based Pseudonym Scheme for Vehicular Networks

Jin Zhou, Changsong Zheng, Yuedi Li, Hua Xu, Zhiguang Qin, Dajiang Chen

ID:20 A Lightweight and Efficient Key Generation Scheme for D2D Communication (Short Paper)

Rongchun Wu, Chunwei Lou, Hao Wang, Yuedi Li, Hua Xu

ID:29 Multi-Authority Attribute Based Encryption With Policy-hidden and Accountability (Short Paper)

Wei Zhang, ZhiShuo Zhang, Yi Wu

PAPER SESSION

IEEE SAGC 2020

IEEE SAGC 2020

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IEEE SAGC 2020

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