IEEE International Workshop on Time-sensitive and Deterministic Networking

14-18 June 2021, Montreal, Canada

IEEE International Workshop on Time-sensitive and Deterministic Networking

Traditional network’s “best-effort” forwarding gradually fails to meet the needs of booming real-time applications, such as industrial internet, vehicle networking and artificial intelligence, etc. Time-sensitive and deterministic networking has become a promising technology to achieve strict QoS guarantees, such as bounded end-to-end latency and jitter, and higher reliability. However, as the massive deployment of time-sensitive and deterministic networking, it also brings many challenges, such as synchronous and asynchronous scheduling and shaping mechanisms and so on. Thus the Workshop on “Time-sensitive and Deterministic Networking” gives the opportunity to gather the researchers from the academia and industry in order to investigate the challenges and identify the further directions for the ultra-reliable and low latency communication.


We seek original completed and unpublished work not currently under review by any other journal/magazine/conference. Topics of interest include, but are not limited to:

  • Deterministic networks for industrial control and automation
  • New key technologies for time-sensitive networking (TSN) and deterministic networking (DetNet)
  • SDN-based architecture for TSN and DetNet
  • Deterministic networks for vehicle and self-driving
  • Deterministic networks for datacenter and edge computing
  • Edge Computing for Industry 4.0 applications with TSN
  • Time-triggered Ethernet and Time-sensitive networks
  • Network slice, deterministic bandwidth guarantee technology
  • Deterministic delay and delay variation guarantee technology
  • Queueing control, scheduling, admission control policies
  • Deterministic and low latency technology for physical layer and optical layer
  • Cross-layer optimization for TSN and DetNet
  • 5G, WiFi, and wireless deterministic networks
  • Network calculus for deterministic networks
  • Simulation tools, frameworks for deterministic networks
  • Performance evaluation and mechanism verification for deterministic networks
  • Hardware development platform and prototype design for TSN and DetNet
  • Machine learning for deterministic networking
  • Performance/complexity/cost tradeoff
Paper Submission

The workshop accepts only novel, previously unpublished papers. The page length limit for all initial submissions for review is SIX (6) printed pages (10-point font) and must be written in English. All final submissions of accepted papers must be written in English with a maximum paper length of six (6) printed pages (10-point font) including figures. No more than one (1) additional printed page (10-point font) may be included in final submissions and the extra page (the 7th page) will incur an over length page charge of USD100. For more information, please see IEEE ICC 2021 official website


General Co-chairs

Victor C.M. Leung

Dr. Victor C. M. Leung is a professor of electrical and computer engineering and holder of the TELUS Mobility Research Chair at UBC. He has more than 20 years of experience in the area of telecommunications and computer communications networking. He has co-authored more than 800 technical papers in archival journals and refereed conference proceedings, several of which have won best paper awards. He is a Fellow of the Royal Society of Canada, the Canadian Academy of Engineering, and the Engineering Institute of Canada. He is serving or has served on the Editorial Boards of JCN, IEEE lSAC, Transactions on Computers, Wireless Communications, and Vehicular Technology, Wireless Communications Letters, and several other journals. He has provided leadership to the Technical Program Committees and Organizing Committees of numerous international conferences. He was the recipient of the 1977 APEBC Gold Medal, NSERC Postgraduate Scholarships from 1977–1981, a 2012 UBC Killam Research Prize, and an IEEE Vancouver Section Centennial Award.
TPC Co-chairs
D.r. F. Richard Yu is currently a Professor at Carleton School of Information Technology and the Department of Systems and Computer Engineering (cross-appointment) at Carleton University, Ottawa. He is also a registered Professional Engineer in the province of Ontario, Canada, an IEEE Fellow, IET Fellow, and Engineering Institute of Canada (EIC) Fellow. He has a strong research background in cyber-security, connected and autonomous vehicles, artificial intelligence, blockchain, and wireless systems. He has published 600+ papers in reputable journals/conferences, 8 books, and 28 granted patents, with 10,000+ citations (Google Scholar). He received the IEEE TCGCC Best Journal Paper Award in 2019, Distinguished Service Awards in 2019 and 2016, Outstanding Leadership Award in 2013, Carleton Research Achievement Awards in 2012 and 2020, the Ontario Early Researcher Award (formerly Premiers Research Excellence Award) in 2011, the Excellent Contribution Award at IEEE/IFIP TrustCom 2010, the Leadership Opportunity Fund Award from Canada Foundation of Innovation in 2009 and the Best Paper Awards at IEEE ICNC 2018, VTC 2017 Spring, ICC 2014, Globecom 2012, IEEE/IFIP TrustCom 2009 and Int'l Conference on Networking 2005. He serves on the editorial boards of several journals, including Co-Editor-in-Chief for Ad Hoc & Sensor Wireless Networks, Lead Series Editor for IEEE Transactions on Vehicular Technology, IEEE Communications Surveys & Tutorials, and IEEE Transactions on Green Communications and Networking. He has served as the Technical Program Committee (TPC) Co-Chair of numerous conferences. He has been named in the Clarivate Analytics list of ``Highly Cited Researchers" since 2019. He is an IEEE Distinguished Lecturer of both Vehicular Technology Society (VTS) and Comm. Society. He is an elected member of the Board of Governors of the IEEE VTS and Editor-in-Chief for IEEE VTS Mobile World newsletter.

Tao Huang

Dr. Tao Huang is currently a professor at Beijing University of Posts and Telecommunications (BUPT). He also serves as the Vice President of The Future Network Innovation Research Institute of Jiangsu Province, the director of the Future Network Center of Purple Mountain Laboratories, and the chief engineer of the National Science Engineering Project of the Future Network Experimental Facility. He has more than 20 years’ experience in the area of network architecture, network artificial intelligence, routing and forwarding, and network virtualization. He has published 100+ papers in reputable journals/conferences (including IEEE TON, Network, and so on), 6+ books, and 30+ patents. Some achievements have been acknowledged by National Science & Technology Prize and applied in the scenarios such as education and scientific research, telecommunications, broadcasting and television, and national defense. Now he is responsible for the project about constructing open, collaborative, and controllable software-defined networks.
Dr. Renchao Xie is an Associate Professor at Beijing University of Posts and Telecommunications (BUPT). He received the Ph.D. degree in the School of Information and Communication Engineering from Beijing University of Posts and Telecommunications in 2012. From Jul. 2012 to Sep. 2014, he worked as a Postdoctoral in China United Network Communications Group Co. From November 2010 to November 2011, he visited Carleton University, Ottawa, ON, Canada, as a Visiting Scholar. His current research interests include 5G network and edge computing, information-centric networking, future network architecture. He has published more than 80 journal and conference papers. He has served as a Technical Program Committee (TPC) member of numerous conferences, including IEEE Globecom, IEEE ICC, EAI Chinacom, IEEE VTC-Spring, and so on. He has also served for serval journals and conferences as a reviewer, including IEEE Trans. on Communications, ACM/Springer Wireless Networks, IEEE ACCESS, EURASIP Journal on Wireless Communications and Networking, (Wiley) Wireless Communications and Mobile Computing, IEEE Communications Letters, the 2011 IEEE Global Communications Conference and so on.
Dr. Shuo Wang is currently a Postdoctoral at Beijing University of Posts and Telecommunications. He has telecom experience of 10 years and focused on the solution and strategy of network architecture, network virtualization, and deterministic network. He has been involved in several research projects (such as National Natural Science Foundation of China, Beijing Science and Technology Project) as the project coordinator, work-package leader, and in other roles. He has published 10+ papers in reputable journals/conferences and 10+ patents. Now he is responsible for the project about machine learning-based traffic engineering in data centers.


Important Dates:

Paper submission deadline:

January 20, 2021

Notification of acceptance:

February 20, 2021

Camera-ready papers:

March 1, 2021

Submission link