Speakers

Keynote Speakers

Prof. Yongjun Xu, Chongqing University of Posts and Telecommunications, China (IEEE Senior Member)

Yongjun Xu (Senior Member, IEEE) received the Ph.D. degree (Hons.) in communication and information system from Jilin University, Changchun, China, in 2015. He received the Outstanding Doctoral Thesis of Jilin Province in 2016. He is currently an Associate Professor with the School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China. From 2018 to 2019, he was a Visiting Scholar with Utah State University, Logan, UT, USA. He has authored or coauthored more than 100 papers, including the IEEE Communications Surveys & Tutorials, IEEE Transactions on Vehicular Technology, IEEE Transactions on Cognitive Communications and Networking, IEEE Transactions on Green Communications and Networking, IEEE Internet of Tings Journal, IEEE Communications Letters, IEEE Wireless Communications Letters, etc. His recent interests include heterogeneous networks, resource allocation, intelligent reflecting surface, energy harvesting, backscatter communications, mobile edge computing, UAV communications. He serves as an Associate Editor of EURASIP Journal on Wireless Communications and Networking, an Editor of Physical Communications, an Academic Editor of Digital Communications and Networks. He serves as a reviewer for IET Communications, IEEE Transactions on Wireless Communications, IEEE Transactions on Vehicular Technology, IEEE Communications Letters, IEEE Wireless Communications Letters, and China Communications. He was the Technical Program Committee member for many international conferences, such as GLOBECOM, ICC, ICCT, WCNC, ICCC, and CITS.

Title:Robust Resource Allocation Technology for RIS-assisted Communication Systems

Abstract: 

With the development of wireless communication technology, more and more wireless terminals are accessed to the communication system, thus causing great pressure on the communication network in terms of service bearing and transmission.

When there are obstacles seriously blocking or strong channel fading, making the receiver signal sharp drop phenomenon is increasingly serious. To solve this problem, intelligent reflective surface (RIS/IRS) has been proposed as an effective 6G candidate technology in recent years.

RIS is an array panel composed of artificial metamaterials (PIN tubes, LCDs, LEDs, etc.), which can actively change the quality of channel transmission through electromagnetic modulation, thus being able to solve the real problems of wireless communication systems such as signal blindness and communication around obstacles.

This presentation focuses on the use of RIS to solve the challenges of robust resource allocation inheterogeneous communication networks and low-power IoT systems, and to promote the development of robust transmission technology for RIS-assisted communication systems.

Prof. Feng Gao, Chongqing University, China

Prof. Gao is with the college of Mechanical and Vehicle Engineering, Chongqing. He is mainly engaged in research on the key technologies of ICV, and also serves as an expert in IVISITA and Chief Expert of the Intelligent Software Innovation Center of WICV. He has been leading and mainly participating in more 50 national, provincial, ministerial and enterprise projects, published more 110 papers and applied for 31 patents. He has received the first prize in provincial level science and technology twice, the second prize fourth and third prize once.

Title:Ensuring Safety of Automated Driving System by Simulation

Abstract: With the increasement of intelligent level and development of mass production, the safety of automated driving system becomes more and more critical. For the automated vehicle beyond intelligent level three, besides human driver the automated driving system also becomes a responsible part of driving task. Moreover, compared with the vehicle controlled by human driver, the automated driving system should deal with the complexity of traffic scenario safely and correctly. The diversity of such running environments poses great challenges on the safety evaluation and validation. This presentation focuses on the simulation test to ensure the safety of automated driving system, especially the design of test scenarios. A systematic approach by integrating combinational test and intelligent search algorithm will be introduced to ensure the test requirement of coverage and efficiency.

Prof. Lingfeng Shi, Xidian University, China (IEEE Senior Member)

Currently, Professor Lingfeng Shi is primarily involved in research pertaining to sensor signal processing, navigation and positioning, as well as wireless communication. His academic achievements are impressive, having published over 110 academic papers. Notably, more than 70 of these papers have been indexed by SCI, with nearly 20 appearing in top-tier journals of Chinese Academy of Sciences and over 20 published in IEEE journals. Additionally, he has contributed more than 10 papers to prominent international academic journals and conferences. Professor Shi's patent portfolio is also noteworthy, holding over 17 authorized national invention patents, 1 authorized utility model, and having applied for 4 additional national invention patents. Furthermore, he has successfully transferred 2 invention patents. Professionally, Professor Shi holds the distinction of being a Senior Member of IEEE and a member of the Chinese Society of Electronics. He also serves as a reviewer for over a dozen SCI international academic journals, demonstrating his recognition within the academic community. Additionally, he is a reviewer for the Journal of Electronics (both Chinese and English editions), Journal of Posts and Telecommunications of China, and Journal of University of Electronic Science and Technology of China - Engineering Edition. He is also recognized as an award review expert by both the Ministry of Education and the Ministry of Science and Technology.

Title:Indoor Positioning Technology Based on Smartphones

Abstract: A smartphone based indoor positioning solution is proposed to address the navigation and positioning issues under indoor satellite navigation refusal. This method combines the sensors and communication functions of smartphones to address the indoor location information needs of personnel. The main content of the report discusses the indoor positioning methods and development directions of smartphones, starting from the background significance of indoor positioning and the characteristics of smartphones.