International Conference on 6G Communication and Internet of Things Technology
49192627337_250302f238_o (1)
 Calls for Workshop Papers

          TRACKS 2: Internet of Things


Workshop 1 : Channel simulation, measurement, and modeling for IoT applications
Keywords：Channel simulation, channel measurement, channel modeling, internet of things
Workshop  Chair: PAN TANG, Beijing University of Posts and Telecommunications, China
Bio: PAN TANG, received the B.S. degree in Electrical Information Engineering from the South China University of Technology, Guangzhou, China, in 2013 and the Ph.D. degree in Information and Communication Engineering from the Beijing University of Posts and Telecommunications, Beijing, China, in 2019. From 2017 to 2018, he was a Visiting Scholar with the University of Southern California. From 2019 to 2021, he was a Postdoctoral Research Associate in the Beijing University of Posts and Telecommunications, China. Now, he is an associate professor in the State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, China. He has authored and co-authored more than 40 papers in refereed journals and conference proceedings. He has served as an editor for Wireless Communications and Mobile Computing and Frontiers in Communications and Networks. His current research interests include millimeter wave, THz, and visible light channel measurements and modeling.

Workshop Co-chair: Yanhong Xu, Xi’an University of Science and Technology, China
Yanhong Xu was born in Shandong Province, China, in 1989. She received the B.S. degree in electronic engineering and the Ph.D. degree in electromagnetic field and microwave technology from Xidian University, Xi’an, China, in 2012, and 2017, respectively. From 2018/01 to 2019/12, she was a Lecturer with the School of Communication and Information Engineering, Xi’an University of Science and Technology, Xi’an, China. Since 2019/12, she was elected as an Associate Professor in the same institute. During a period from 2018/02 to 2020/02, she is a Postdoctoral Fellow in the State Key Laboratory of Terahertz and Millimeter Waves, City University of Hong Kong. She was elected as an expert of “Thousand Talents Plan” (Young) of Shaanxi Province in 2020. She was the one of the candidates of R. W. King Award in 2020. Her research interests include array antenna theory, frequency diverse array, wideband antenna and millimeter wave antenna technology.
Summary: The Sixth Generation (6G) research has attracted considerable attention and started all over the world. By utilizing new enabling technologies, e.g., Terahertz communication, Ultra Massive Multiple Input and Multiple Output (MIMO), and new network architecture with endogenous intelligence, 6G is expected to achieve new performance targets, e.g., higher peak data rate (1 Tbps), lower latency (<1 ms), and higher spectral and energy efficiency gains (1000x in bps/Hz/m2/Joules). Thus, 6G can greatly facilitate the development of the Internet of Things (IoT).
Channel is the medium between the transmitter and the receiver in wireless communications. According to the Shannon’s theory, it is known that channel properties determine the performance limit of a wireless communication system. Thus, to better deploy 6G in IoT applications, it is a prerequisite to study channel properties and build channel models in IoT application scenarios. However, the communication environment varies in different applications, e.g., industry, medical, and transportation. This brings different channel properties, e.g., rich scattering, electromagnetic noise, and time-varying, and results in challenges to channel modeling with both low complexity and high universality.
This workshop intends to focus on channel simulation, measurement, and modeling for IoT applications, and solicit contributions from experts and research teams around the world. The topics of interest include, but are not limited to:
- Channel simulation, measurement, and modeling in millimeter wave, Terahertz, and visible light bands.
- Channel simulation, measurement, and modeling in IoT communication scenarios.
- The impact analysis of channel characteristics and models on system design, evaluation, and deployment.
- The standardization of IoT channel models.

----------------------------------------------------------------------------
Workshop 2: Innovation of IoT Security, QoS and Design
Keywords：IoTSecurity, Cyber-Physical Systems, Digital Society, QoS, Economic Analysis
Workshop  Chair: Haiting Han, University of Copenhagen, Denmark
Bio: Haiting Han (Member, IEEE,EEA and AEA) received an M.S. degree in software engineering from Peking University, Beijing, in 2019. He is looking forward to finding the connection between Protocol, Cyber Governance (Resource/Powers Distribution), and Economic Performance. From 2018 to 2020, he was a Researcher with the China Academy of Information and Communications Technology (CAICT). He is currently a Ph.D. fellow with the Center of Blockchain and Electronic Markets, University of Copenhagen(UCPH), He also serves as the Youth Specialistof the Internet Society of China (ISC), and a member of the committee of P3207/ P3208/ P3215 (IEEE StandardsAssociation). He attempts to design a new economic system based on distributed technology and smart contracts-Data Marketplace Infrastructures (DMIs) and E-Market Simulator System (EMSS). His research interests include Cyber-Physical Systems (CPS) and Distributed Economics Design.
Summary: Information technology can be a beacon of hope, allowing billions of people around the world to connect, Secretary-General Says in a Message to Mark Global Day. With the development of ICT technology, we are accelerating our entry into smart society, and the Internet of Things has become the core of a new type of social infrastructure. In this new society, the Internet of Things is "ubiquitous, omnipresent and omnipotent" like air and water. The interconnected world not only enriches our lives but also has a profound impact on the civilization, order, and environment in which we live. Therefore, the security impact of the Internet of Things is no longer limited to the quality of a certain product, not only the stability and security of a service, and even not limited to the maturity of the information and communication security industry. What we should care about is what kind of IoT products and services do we need? Which choice or right of judgment should we let go of and let the machine execute it automatically? What kind of defense system should we build to prevent core resources (data, administrator rights, etc.) from falling into the hands of criminals (hostile third parties, intelligent systems that may be out of control)? The security of the Internet of Things is the security of the entire digital space and the security of the entire intelligent society in the future. "There is no national security without network security", and without the security of the Internet of Things, there is no security for an intelligent society.
This workshop intends to focus on frontier issues, technologies, and solutions for IoT security. We encourage experts and research teams to use innovative ideas and interdisciplinary research to enhance the security capabilities of the digital society and solicit contributions from you around the world. The topics of interest include, but are not limited to:
  • Frontier Developments and Security Challenges in the Internet of Things
  • 5G、6G、Block Chain、AI and IC enhance IoT Security design
  • QualifyofServiceAnalysis of theIoT
  • Economism in Protocol or Algorithm design of IoT
----------------------------------------------------------------------------

Workshop 3: Channel simulation, measurement, and modeling for IoT applications
Keywords：Channel simulation, channel measurement, channel modeling, internet of things
Workshop  Chair: Prof. XINLI HUANG,East China Normal University,China
Bio: XINLI HUANG, received his Ph.D. degree in computer science from the Department of Computer Science and Engineering of Shanghai Jiao Tong University in 2007. He is now a full professor with the School of Computer Science and Technology of East China Normal University. He is also serving as deputy director of Shanghai Engineering Research Center for Artificial Intelligence Networks and Systems. For the past two decades, he has conducted research activities in a wide spectrum of hotspots in the fields of internetworking and computing, Internet of things and artificial intelligence, especially their applications in smart city and smart elderly care. His has published more than 40 papers in peer-reviewed journals and conference proceedings, including IEEE COMST, IEEE TSUSC, COMNET and etc. He has long served as a reviewer of multiple journals such as IEEE TPDS, IEEE TNSM, IEEE TKDE, ACM TDS. As a PI, he has been/is leading a number of major scientific research projects, including the National Key R&D Program and the National Natural Science Foundation of China. He led the formulation of a series of smart city construction guidelines, specifications and industry standards in Shanghai (all of which have been officially released), and won the “Individual Outstanding Contribution Award”.
Summary: The Sixth Generation (6G) research has attracted considerable attention and started all over the world. By utilizing new enabling technologies, e.g., Terahertz communication, Ultra Massive Multiple Input and Multiple Output (MIMO), and new network architecture with endogenous intelligence, 6G is expected to achieve new performance targets, e.g., higher peak data rate (1 Tbps), lower latency (<1 ms), and higher spectral and energy efficiency gains (1000x in bps/Hz/m2/Joules). Thus, 6G can greatly facilitate the development of the Internet of Things (IoT).  Channel is the medium between the transmitter and the receiver in wireless communications. According to the Shannon’s theory, it is known that channel properties determine the performance limit of a wireless communication system. Thus, to better deploy 6G in IoT applications, it is a prerequisite to study channel properties and build channel models in IoT application scenarios. However, the communication environment varies in different applications, e.g., industry, medical, and transportation. This brings different channel properties, e.g., rich scattering, electromagnetic noise, and time-varying, and results in challenges to channel modeling with both low complexity and high universality.
This workshop intends to focus on channel simulation, measurement, and modeling for IoT applications, and solicit contributions from experts and research teams around the world. The topics of interest include, but are not limited to:
  • Channel simulation, measurement, and modeling in millimeter wave, Terahertz, and visible light bands.
  • Channel simulation, measurement, and modeling in IoT communication scenarios.
  • The impact analysis of channel characteristics and models on system design, evaluation, and deployment.
  • The standardization of IoT channel models.

---------------------------------------------------------------------------
Workshop 4: Emerging Technologies in Edge Computing for IoT applications
Keywords：Edge computing, cloud computing, edge intelligence, internet of things
Workshop  Chair: Asso. Prof. XIAOYAN HU, Xi'an Jiaotong University, China
Bio: XIAOYAN HU, received the M.Eng. degree in information and communication engineering from Xi’an Jiaotong University, Xi’an, China, in 2016, and the Ph.D. degree in electronic and electrical engineering from University College London, London, U.K., in 2020. From 2019 to 2021, she was a Research Fellow with the Department of Electronic and Electrical Engineering, University College London, U.K. Now, she is an associate professor with the Department of Information and Communication Engineering, Xi’an Jiaotong University, China. Her research interests include edge computing, reconfigurable intelligent surface (RIS), UAV communications, integrated sensing and communications (ISAC), wireless energy harvesting, physical-layer security, and learning-based communications. She was a recipient of an Exemplary Reviewer of IEEE COMMUNICATIONS LETTERS in 2017. She has served as aTPC member of many international conferences, such as JC&S. She has been serving as an Assistant to the Editor-in-Chief for IEEE WIRELESS COMMUNICATIONS LETTERS since January 2020.
Summary: The explosion of demanding applications at user side necessitate the shift of the cloud computing services from the remote central clouds to the edge of the mobile networks within the radio access networks (RANs). This brightly new kind of computing mode is well known edge computing, which exploits a new type of unified telecommunication and micro-datacenter node able to jointly provide networking, local processing, and storage resources for the support of novel 5G/6G applications, such as Intelligent Transportation Systems (ITS), e-health and smart cities, etc. This paradigm of computation offloading is motivated by proximity, ultralow latency, high bandwidth, and real-time access to radio network information, which is widely considered as an effective means to liberate the resource-limited UEs from heavy computation. Edge computing is a powerful computing paradigm that can assist in providing ideal services for IoT devices. As a distributed computing infrastructure, MEC is capable of bringing the computing capabilities close to the distributed IoT devices. In addition, deploying a number of edge computing nodes/servers in the IoT networks can locally collect, classify, and analyze the raw IoT data streams by local executions, rather than transmitting them to the central clouds, which can significantly alleviate the traffic in the core networks and potentially speed up the IoT big data processing and improve the user experience.
This workshop intends to focus on emerging technologies in edge computing for IoT applications, and solicit contributions from experts and research teams around the world. The topics of interest include, but are not limited to:
  • Edge Intelligence for IoT.
    • Learning-assisted edge computing.
    • Edge computing assisted learning.
    • Computation offloading on edge-to-cloud hierarchy.
    • Efficient models for resource management of edge computing applications. 
    • Security and/or privacy on edge computing scenarios.
    • Applications, testbed and experiments of emerging technologies in edge computing

---------------------------------------------------------------------------
Workshop 5: Resource Allocation and Prediction for IoT Systems
Keywords：Resource allocation, Task offloading, Prediction, IoT, IoV
Workshop  Chair: Prof. LUSHENG WANG,Hefei University of Technology, China
Bio: LUSHENG WANG received his B.Sc. in Communications Engineering in 2004 from Beijing University of Posts and Telecommunications (BUPT), China and his Ph.D. in 2010 in Computer Science and Networks from Telecom ParisTech (ENST), France. Currently, he is a research professor and the vice dean of Communications Engineering Department at Hefei University of Technology (HFUT), China. His research interests are resource allocation in wireless communication systems, task offloading in vehicular networks, and pedestrian flow prediction.
Summary: 
In future mobile communication systems, Internet of things (IoT), Internet of vehicles (IoV), and other forms of networking technologies constitute an ultra dense network. Resource allocation and optimization meets many new challenges,  such as the low latency requirement of these networks.  At the same time, prediction and pre-process for resource demands draw more and more attentions by researchers in this domain, such as the prediction of traffic flow and the occupation of resources in base stations. Various mathematical methods for prediction have been studied in recent years and many of them are proved effective and accurate for predicting the locations of vehicles and pedestrians as well as for predicting the resource utilization in base stations.
This workshop intends to focus on resource allocation and optimization methods, especially for those combining with prediction. The topics of interest include but are not limited to
1)  Resource allocation and task offloading for IoT and IoV scenarios with prediction of locations of vehicles and pedestrians
2)  Resource allocation and optimization for macro base stations with prediction of resource utilization
3)  Prediction methods for mobile communication networks, traffic flows, and financial markets
---------------------------------------------------------------------------
Workshop 6:Application of Internet of Things technology in steel industry
Keywords：Internet of things，iron and steel industry，network security，6G
Internet of Things, big data of steel, intelligent recommendation system, steel metallurgy
Workshop  Chair: Professor Aimin Yang, North China University of Science and Technology, China
Bio: Aimin Yang, doctoral supervisor, received his master's degree in computational Mathematics from Yanshan University in 2004 and his doctor's degree in mechanical Design and Theory from Yanshan University in 2015. He has been a visiting scholar in Tsinghua University, Northeastern University and Shenzhen University. Currently he is a professor in the School of Science, North China University of Science and Technology, Tangshan, China. He has hosted two general projects of the National Natural Science Foundation of China, published more than 50 SCI papers, and authorized more than 10 invention patents. He is a guest editor or reviewer for more than 30 journals. His research interests include data analysis and information security in steel industry, metallurgical data modeling and low-carbon intelligent smelting.
Summary: IoT is of great significance for expanding existing control systems and improving steel products. The introduction of the Internet of Things, the iron and steel industry of raw materials, material transport, production operations, material storage and other links closely linked, to achieve real-time understanding and management of material resources, to a large extent to achieve the reduction of resource waste. In addition, the Internet of Things will collect steel data, steel production converter control model and other links together, reducing production costs, improve production efficiency, steel finished product quality is also guaranteed, to a large extent to promote the development of steel modernization process. In view of the current situation of the development of China's iron and steel enterprises, the current development of iron and steel enterprises are facing significant problems mainly including low level of automation, the management level of various enterprises is uneven, the quality of employees in enterprises is uneven. The construction of the Internet of Things for iron and steel enterprises can provide computer technology and intelligent identification technology for iron and steel enterprises, and facilitate the integration of the information resources of the whole industry. For example, in view of the enterprise staff management, production tracking, staff work efficiency, staff's work enthusiasm, operating errors, Internet of things can pass this information to the enterprise in a timely manner, is advantageous for the enterprise to strengthen the management of the enterprise staff, provide more enterprise culture input, improve employees' sense of belonging to the enterprise, strengthen the relationship between employees and enterprises.
      Topics of interest for this workshop include but are not limited to:
·Application of Internet of Things technology in steel industry
·Industrial big data security
·Industrial intelligence system
·Steel industry data modeling and low carbon intelligent smelting
·Development prospect of Internet of Things technology in steel field
·5G/6G Communication and Network
·Cloud Computing and Big Data in IoT
·Digital Communication Technology
·IoT Information Security
·Network and Information Security Technology
·Mobile Communication
---------------------------------------------------------------------------
Workshop 7: Flexible spectrum sensing, access and sharing for 6G IoT
Keywords：Spectrum sensing, spectrum management, spectrum sharing, 6G internet of things
Workshop  Chair: Associate Professor LEI ZHANG,Jiangsu University of Technology, China
Bio: 
LEI ZHANG, received the Ph.D. degree in Information and Communication Engineering from the Southeast University, Nanjing, China, in 2016. Now, he is an associate professor in the Jiangsu University of Technology, Changzhou, China. From 2019 to 2020, he was a Visiting Scholar with the Queen Mary University of London, UK. He has authored and co-authored more than 20 papers in refereed journals and conference proceedings, including IEEE journals, ICC and GLOBECOM conferences, etc. He has served as reviewers for several IEEE Journals. His current research interests include cognitive radio, multi-antenna beamforming, reconfigurable intelligent surface and internet of things applications.
Summary:
The Sixth Generation (6G) research has attracted considerable attention and started all over the world. Internet of Things (IoT) is able to provide various physical objects to exchange their information through the 6G wireless communication network. The ubiquitous characteristics of the future IoT make mobile networks and broadband wireless access become the main transmission methods. This will lead to IoT becoming a large demander of spectrum resources. The deployment of IoT devices in 6G faces the challenge of spectrum scarcity. Due to the scarcity of spectrum resources, a large number of radio equipment will be used at the same time and in the same area. When the equipment has quality or other problems, the electromagnetic environment becomes extremely complicated. It is hoped that the most suitable spectrum can be selected to provide services according to user business needs, network load conditions, channel conditions and other factors. Thus, the flexible spectrum sensing, access and sharing technologies are essential.

This workshop intends to focus on spectrum sensing, access and sharing for 6G IoT wireless communication scenario, and solicit contributions from experts and research teams around the world. The topics of interest include, but are not limited to:
  • Characterization of spectrum usage environment for 6G IoT.
  • Technology or strategy on spectrum management for IoT communications.
  • Fast and secured spectrum sensing and access technology for 5G/6G IoT.
  • Spectrum sharing for 6G-enabled cognitive IoT network.
  • Machine learning and blockchain in dynamic spectrum management of IoT networks.
---------------------------------------------------------------------------
Workshop 8: transmission, access and route technology for Internet of Vehicle
Keywords: Spatial distribution, vehicular wireless theory, vehicular protocols
Workshop Chair:  Prof. Jin TIAN, CSIRO, 
Chair: Jin TIAN is a Doctor/ Professor/ Senior Engineer, visiting scholar of CSIRO. He received a Doctor's degree in the National Mobile Communication Laboratory, Southeast University, and received a Master's degree in the Advanced Photonics Center, Southeast University. Master's tutor of communication discipline in HoHai University, Nanjing University of Posts and Telecommunications and Anhui University of Science and Technology, and also an senior expert of the ministry of education in the evaluation of dissertations for Master degree. From July 2011 to April 2014, he served as the dean of the school of information technology, Jinling Institute of Technology, and from May 2014 to now, he has served as the dean of the engineering school of networks and telecommunications, Jinling Institute of Technology. He works as international standard expert of Inter System Telecommunication, member of National Standardization Technical Committee of Intelligent Transportation System, trustee of China Intelligent Transportation Industry Alliance, trustee of Jiangsu Communication Society, trustee of Jiangsu Optical Society, trustee of Internet of things branch of China Communication Industry Association, and supervisor of Nanjing Multimedia Information Technology Society. He is authorized an expert in National Natural Science Foundation of China (Youth Fund, general programs), and on Science and Technology Program of Jiangsu Province, Chongqing Province, Guangdong Province and Shandong Province. He published a monograph on “collaborative communication and network", published more than 60 natural science papers, and authorized 3 invention patents. Recent research fields: access technology and route technology on Internet of Vehicle.
Summary：
The Internet of Vehicles (IoV) is a real-time communication network with moving vehicles as communication terminals or nodes. It is a highly dynamic and complex network. One of the important indicators of vehicle network is Ultra-Reliable Low-Latency Communications (uRLLC). In a highly dynamic network, in order to achieve uRLLC, it is necessary to break through the bottleneck from the links of information access, information transmission and information exchange to optimize the overall performance of the system.

This workshop intends to focus on vehicle nodes spatial distribution, wireless transmission theory between vehicles and vehicular protocols for Internet of Vehicle, and to solicit contributions from experts and research teams around the world. The topics of interest include, but are not limited to:
  • Spatial distribution of vehicle nodes on the ground formed by vehicle driving.
  • Theory and technology of wireless transmission between vehicles.
  • Vehicle LAN protocols.
  • Vehicle WAN architecture and protocols.
6GIOTT
Sofitel Fuzhou Ping Shan Hotel, 12 Hualin Road, Gulou District, Fuzhou, China