Junhui Zhao
Title: The Computation and Communication in vehicular networks
Bio:
Junhui Zhao received the M.S. and Ph.D. degrees from Southeast University, Nanjing, China, in 1998 and 2004, respectively. From 1998 to 1999, he worked with Nanjing Institute of Engineers at ZTE Corporation. He is currently a Professor at the School of Electronics and Information Engineering in Beijing Jiaotong University. Since 2016, he is also with the School of Information Engineering in East China Jiaotong University. His current research interests include wireless and mobile communications and the related applications, which contain 5G mobile communication technology, high-speed railway communications, vehicle communication network and wireless localization.
Abstract:
Vehicular networks have been viewed as the hot topic to build the practical deployment for ITS. In this talk, we firstly introduce the essential concept and the recent advances of vehicular networks. Then we show our latest contributions including vehicle-to-everything (V2X), platoon intelligence, edge intelligence, UAV-aided vehicular communication, blockchain-based vehicular resource management, dynamic offloading for vehicular resource allocation and security in the domain of vehicular networks. Finally, some application issues will be presented.
Dr. Guangyi Liu
Title: 5G practice inspires the innovative 6G design
Bio:
Dr. Guangyi Liu, Leading Specialist and 6G Director of China Mobile Communication Corporation (CMCC), co-chair of the 6G Alliance of Network AI (6GANA)，Vice chair of THz industry alliance in China, vice chair of the wireless technology working group and trial&test working group of IMT-2030 (6G) promotion group of Ministry of Information and Industry Technology of China. He is leading the 6G R&D of CMCC since 2018. He led the research, standardization and industrialization 4G’s evolution and 5G in CMCC from 2006 to 2020. He has acted as spectrum working group chair and project coordinator of LTE evolution and 5G eMBB in Global TD-LTE Initiative (GTI) from 2013~2020 and led the industrialization and globalization of TD-LTE evolution and 5G eMBB. He was awarded “national innovation award in science and technology of 2016” of Chinese government due to the contribution to TD-LTE standardization and industrialization globally. In 2009, 2013 and 2017, he received “excellent patent awards” from the Chinese Intellectual property office. He has published more than 150 papers and filed more than 500 patents.
Abstract:
5G has been commercialized in large scale sine 2019, and more then 3 million base station has been constructed. From the practice of 5G launch, 5G network is complained as high power consumption, high cost and complicated OAM, the Network architecture, functions and parameters selection are excessively complicated, and the number of interface is numerous. From the performance perspective, huge gap between the uplink and downlink, and tween the edge and the center of a cell. Findings from the vertical industry scenario’s exploring has show that the vertical use case demands not only the communication connection, but also more capabilities as important assistances, e.g., computing, AI, highly accurate positioning, etc. The form factor of existing network products is less flexible and the cost is not user-friendly. It becomes a tendency for the product with ITnization and cloudization. To resolve above issues found in 5G network’s practice, the next generation mobile network needs to expand its broader and capability, and facilitate the capability integration of communication, sensing, AI, computing, big data and security. To support these capabilities in a native way, the network architecture should be reconstructed, where the new protocol planes besides the traditional communication plane (decomposed as control plane and user plane in 4G and 5G), e.g. data plane, computing plane, AI plane and security plane, are introduced to ensure the quality of service (QoS) guaranteeing in a end to end way. To adapt to the more differentiated and fragmented use cases beyond 2030, a agile and elastic mobile network is demanded. To approach this, a cloud native radio access network is the baseline and service based architecture is introduced to build a software defined and programmable network in a end to end way. To support the low cost OAM, the digital twin network and native AI design enable the network autonomy.