W4: 6G-empowered Robotic Vehicles for Sustainable Development (VeSUS)
This workshop will be presented in virtual mode only.
Co-chair: Zhenhui Yuan, Northumbria University, UK
Co-chair: Qing Li, Peng Cheng Lab, China
Co-chair: Fei Song, Beijing Jiaotong University, China
Co-chair: Shiwen Mao, Auburn University, USA
Abstract: The UN’s Sustainable Development Goals (SDGs), also known as Agenda 2030, have specified initiatives to transform our planet in three main areas: the economy, society and the environment. With the ultimate goal of improving air, water, energy and human society, cross-disciplinary technologies have been designed to meet the needs of different SDGs.
Among all technology fields, the VeSUS workshop is the first event that explores the combined roles of 6G and robotic vehicles in achieving the SDGs. Challenges in designing and developing sustainable and ecological smart robotic vehicles will be identified. In addition, the feasibility and capability of integrating 6G and smart robotic vehicles will be addressed and demonstrated.
VeSUS relates to the Horizon Europe-Staff Exchange EVOLVE project, Electric Vehicles (EV) pOint Location optimization via VEhicular communications, (2022-2026). The vision of EVOLVE is to help make urban transport (e mobility) smarter and more sustainable through innovative EV charging point recommendation systems. VeSUS is designed to host the first generation of experts to exploit advanced technologies in 6G and robotic vehicles that will revolutionize the connected EV technologies and the associated business sectors. VeSUS is also co-organised and supported by the IEEE UK and Ireland ComSoc. VeSUS brings together academics, engineers and stakeholders from multiple disciplines to hold a dialogue on the need for Sustainable Infrastructure and shape the ideas to design cutting edge robotic vehicles with the assistance of 6G.
Program:
Programme outline
20th June 2023, 9:00AM-11:45AM, Central European Time (CET)
| 9:00-9:05 | Workshop introduction |
| 9:05-9:30
(20 min + 5 min Q&A) |
Keynote speaker 1
“6G enabled Robots”, Head of 6G Network Architecture Research Group, Huawei, Germany, Dr.Xueli An |
| 9:30-9:55
(20 min + 5 min Q&A) |
Keynote speaker 2
“Challenges and Methods to Tackle Robotic Service Requirements in 6G Mobile Networks”, InterDigital, United Kingdom, Dr Sebastian Robitzsch |
| 9:55-10:00 | break |
| 10:00-10:20
(15 min + 5 min Q&A) |
Technical paper 1
EMS-SLAM: Edge-Assisted Multi-Agent System Simultaneous Localization and Mapping |
| 10:20-10:40
(15 min + 5 min Q&A) |
Technical paper 2
Fuzzy Logic-based Adaptive Multimedia Streaming for Internet of Vehicles |
| 10:40-11:00
(15 min + 5 min Q&A) |
Technical paper 3
Joint Deployment and Task Scheduling in IRS-assisted Wireless Inland Ship MEC Network |
| 11:00-11:20
(15 min + 5 min Q&A) |
Technical paper 4
QoE-aware 360-degree Video Streaming for Autonomous Vehicles |
| 11:20-11:40
(15 min + 5 min Q&A) |
Technical paper 5
Trustworthy Routing in VANET: A Q-learning Approach to Protect Against Black Hole and Gray Hole Attacks |
| 11:40-11:45 | Panel discussion with all speakers/Closing |
Co-chair Bios:
Zhenhui Yuan:
Zhenhui Yuan is Senior Lecturer at Northumbria University (UK). He received his B.degree (Software Engineering) at Wuhan University, China, in 2008 and PhD (Electronic Engineering) at Dublin City University, Ireland, in 2012. His research interests lie in wireless communication systems for robots and vehicles. He was the postdoc researcher (2012-2014) at Ericsson and Enterprise Ireland and the visiting scholar (2014) at Network Research Lab (led by Prof. Mario Gerla), UCLA, U.S. He was 3GPP delegate (2014-2015) on 5G at Huawei (Shanghai). During 2015-2019, he joined the Key Lab of RF Circuits and Systems (Ministry of Education) in Hangzhou Dianzi Univeristy as the Associate Professor. He co-founded RobSense (Hangzhou) Technology Co.Ltd which designs and produces UAV flight controller and IoT gateway. RobSense has received over £1m venture investment since 2015. In 2019-2020, he was the Assistant Professor at Maynooth University (Ireland). In 2020, he joined Northumbria University (UK) as the Senior Lecturer. He won the best paper awards at IEEE ICCRE 2016 and IEEE BMSB 2014. He is the Associate Editor at IEEE ACCESS, IEEE Transactions on Consumer Electronics and Journal of Pervasive Computing & Communications. He is a voting member of IEEE P1954 on UAV communications since 2022. His research website: www.zhenhuiyuan.net
Qing Li:
Qing Li is an Associate Professor at Peng Cheng Laboratory, Shenzhen, China. He received the B.S. degree (2008) from Dalian University of Technology, Dalian, China, the Ph.D. degree (2013) from Tsinghua University, Beijing, China; both in computer science and technology.. Before joining in Peng Cheng Laboratory, he worked as a postdoc, a network research scientist, and an associate professor at Tsinghua Shenzhen International Graduate School (Shenzhen, China), Huawei (Hong Kong), and Southern University of Science and Technology (Shenzhen, China). His research interests include reliable and scalable routing of the Internet, software defined networking, network function virtualization, in-network caching/computing, mobile edge computing, traffic scheduling, transmission control, video delivery, etc.
Fei Song:
Fei Song is a full professor with the National Engineering Research Center for Advanced Network Technologies and the School of Electronic and Information Engineering, Beijing Jiaotong University, China. His current research interests include network architecture, system security, protocol optimization, and cloud computing. He serves as a technical reviewer for several publications including IEEE Communications Magazine, the IEEE Internet of Things Journal, IEEE Transactions on Industrial Informatics, IEEE Transactions on Services Computing, IEEE Transactions on Emerging Topics in Computing, and IEEE Transactions on Intelligent Transportation Systems, etc.
Shiwen Mao:
Shiwen Mao received a Ph.D. in Electrical Engineering from Polytechnic University in 2004. Currently, he is a Professor and Earle C. Williams Eminent Scholar, and Director of the Wireless Engineering Research and Education Center (WEREC) at Auburn University. Dr. Mao’s research interest includes wireless networks, multimedia communications, and smart grid. He is a Distinguished Lecturer of IEEE Communications Society (ComSoc, 2021-2022), IEEE Council of RFID (2021-2022), and IEEE Vehicular Technology Society (VTS, 2014-2018), and a Distinguished Speaker of IEEE VTS (2018-2021). He received the IEEE ComSoc TC-CSR Distinguished Technical Achievement Award in 2019, the Auburn University Creative Research & Scholarship Award in 2018, the NSF CAREER Award in 2010, and several service awards from IEEE ComSoc. He is a corecipient of the 2021 Best Paper Award of Elsevier/KeAi Digital Communications and Networks Journal, the 2021 IEEE Internet of Things Journal Best Paper Award, the 2021 IEEE Communications Society Outstanding Paper Award, the IEEE Vehicular Technology Society 2020 Jack Neubauer Memorial Award, the 2018 Best Journal Paper Award and the 2017 Best Conference Paper Award from IEEE ComSoc MMTC, and the 2004 IEEE Communications Society Leonard G. Abraham Prize in the Field of Communications Systems. He is a co-recipient of the Best Paper Awards from IEEE ICC 2022 and 2013, IEEE GLOBECOM 2019, 2016, and 2015, and IEEE WCNC 2015, and the Best Demo Awards from IEEE INFOCOM 2022 and IEEE SECON 2017. He is the Editor-in-Chief of IEEE Transactions on Cognitive Communications and Networking and an Associate Editor-in-Chief of IEEE/CIC China Communications. He is the General Chair of IEEE INFOCOM 2022, a TPC Chair of IEEE INFOCOM 2018, and a TPC Vice-Chair of IEEE GLOBECOM 2022. He is a Fellow of the IEEE and AAIA.
For additional information you can visit this link: https://sites.google.com/view/vesus-vtc2023/home
The Call for Papers can be found here: CFP-VTC Spring 2023 W4 CFP
Deadlines:
Workshop paper submissions Extended: 9 March 2023
Acceptance notification: 16 April 2023
Final paper submission due: 30 April 2023
To submit a paper to this workshop, please visit: https://vtc2023s-rr-wks.trackchair.com/track/2161