2024 8th International Conference on Electronic Information Technology and Computer Engineering

Title: Key Transmission Technologies for 6G Wireless Communications

Abstract:

This talk introduces AI empowered wireless communications, integrated sensing and communications (ISAC) and unified far-field and near-field MIMO for future 6G wireless systems. Specifically, the following key technologies are presented and summarized in detail: ①Millimeter-wave beam prediction and tracking methods with deep learning/reinforcement learning are proposed in order to reduce the overhead of beam management; ②Considering the inaccurate angular-delay port selection of Type-II codebook due to low signal-to-noise ratio (SNR) in uplink B5G wireless systems, an angular-delay port selection method with deep learning is proposed to mitigate the negative impact of noise and improve the sum-rate performance; ③Leveraging the state-of-the-art 3GPP OFDM waveform signals, additional sensing functions could be realized through orthogonal resource allocation and sequence design including cross-domain OFDM waveform design and Doppler-resilient sequence parameter optimization, while preserving the existing communication framework unchanged; ④The basic principle of unified far-field and near-field MIMO wireless systems is briefed.

Zhaocheng Wang, a professor and doctoral supervisor at Tsinghua University, was honored with an IEEE Fellow in 2021. Throughout his career, Prof. Wang has dedicated himself to pioneering research in fields such as AI-enabled wireless communications, millimeter-wave/terahertz communications, and visible light communications, supporting applications like high-definition video, virtual reality, and holographic imaging. Prof. Wang has undertaken projects under the 973 Program, 863 Program, and National Natural Science Foundation of China, as well as collaborative projects with industry partners, including Huawei, ZTE, Sony, NTT DoCoMo, OPPO, and Qualcomm. He holds 51 authorized patents in Europe and the United States (with 23 as the first inventor) and 45 authorized patents in China, many of which have been adopted by international standards (according to an independent third-party assessment by the PatSnap website, the total estimated value of 12 representative authorized patents is approximately 200 million Chinese yuan). Prof. Wang has published over 180 SCI-indexed papers in prestigious journals such as the IEEE Journal of Selected Areas in Communications, with over 8,500 citations on Web of Science and over 15,000 citations on Google Scholar, earning him the status of a Highly Cited Researcher by Clarivate Analytics (Web of Science). He has authored two English monographs published by Wiley, which have been included in the IEEE Press Series on Digital and Mobile Communications. Additionally, Prof. Wang has received numerous accolades, including the First Prize of the National Award for Science and Technology Progress, the First Prize of Science and Technology Award by the China Institute of Electronics, the First Prize of the Guangdong Science and Technology Award, the First Prize of the Chongqing Science and Technology Award, the First Prize of the Beijing Science and Technology Award, the Best Paper Award from the IEEE Journal on Selected Areas in Communications, the Asia-Pacific Outstanding Paper Award from the IEEE Communications Society, the Best Paper Award from the IEEE Transactions on Broadcasting, the Best Paper Award from Electronics Letters, and multiple Best Paper Awards at international conferences.

Title: Exploring Optical Spectrum for 6G: From Optical Wireless to Petahertz Communications

With rapid deployment of 5G mobile networks, the research community has initiated discussions on the enabling technologies for 6G. This talk will overview the Optical Wireless Communication (OWC) technologies in the existing infrared, visible light as well as ultraviolet optical bands. It will present some key theoretical and experimental advances in OWC channel models, communication systems and networks, as well as applications in indoor, outdoor, and underwater scenarios. It will further introduce a new unified Petahertz Communication (PetaCom) framework to harmonize the fragmented optical bands, in order to enable strong system adaptation to the diverse terminals and environments. Finally it will address PetaCom challenges and point out potential applications in communication, positioning, control and sensing.

Zhengyuan Xu is a chair professor, doctoral supervisor, academic committee member, director of the Optical Wireless Communication and Network Research Center, at the University of Science and Technology of China, as well as a founding director of the Key Laboratory of Wireless Optical Communication at the Chinese Academy of Sciences (CAS), national distinguished expert, and chief scientist of the National 973 Program and the National Key R&D Program. He earned his bachelor’s and master’s degrees from Tsinghua University and a doctoral degree from Stevens Institute of Technology in the United States. He has served as a tenured professor at the University of California, Riverside, founding director of the Ubiquitous Optical Communication Research Center at the University of California, a tenured professor at Tsinghua University, and vice dean of the School of Information Science and Technology at the University of Science and Technology of China. He is mainly engaged in theoretical and experimental research on mobile communication and optical communication, including Petahertz communication, optical wireless communication, broadband mobile communication, localization and sensing, intelligent networks, wireless communication big data, etc. As the project leader, he has undertaken national projects such as the National 973 Program, National Key R&D Program, and Key Project of the National Natural Science Foundation of China, as well as industry cooperation projects. He has published more than 400 academic papers, 3 monographs, and gained over 10000 citations on Google Scholar. Since 2014, he has been included in the Elsevier China Highly Cited Scholars list year by year. He has more than 30 national and international invention patents authorized, and some of the achievements have been selected for the China Basic Research Development Report. He has served as the associate editor of IEEE and OPTICA journals for many years, executive member of the Chinese Society of Optical Engineering, chairman of the Guangdong Smart Visible Light Industry Technology Innovation Alliance, and has been invited multiple times to serve as a national research and talent project evaluation expert. He was the founding chairman of the first IEEE International Workshop on Optical Wireless Communication in 2010.

Dr. Huiyu Zhou received a Bachelor of Engineering degree in Radio Technology from Huazhong University of Science and Technology of China, and a Master of Science degree in Biomedical Engineering from University of Dundee of United Kingdom, respectively. He was awarded a Doctor of Philosophy degree in Computer Vision from Heriot-Watt University, Edinburgh, United Kingdom. Dr. Zhou currently is a full Professor at School of Computing and Mathematical Sciences, University of Leicester, United Kingdom. He has published over 500 peer-reviewed papers in the field. His research work has been or is being supported by UK EPSRC, ESRC, AHRC, MRC, EU, Innovate UK, Royal Society, British Heart Foundation, Leverhulme Trust, Puffin Trust, Alzheimer’s Research UK, Invest NI and industry.

Yu-Beng Leau is an Associate Professor in Computer Science at Universiti Malaysia Sabah, Faculty of Computing and Informatics. He holds Bachelor of Science in Multimedia Technology from Universiti Malaysia Sabah, Master of Computer Science in Information Security from Universiti Teknologi Malaysia and Ph.D. in Internet Infrastructures Security from Universiti Sains Malaysia. His expertise spans a broad range of IT fields, underscored by an impressive array of certifications, including Huawei Certified ICT Professional in Cloud Computing and multiple Huawei Certified Academy Instructor credentials in Cloud Computing, Storage, and Routing & Switching. His qualifications also include Cisco certifications as a Network Academy CCNAv7 Introduction to Networks and CyberOps Associate, along with certifications as a Certified IPv6 Network Engineer (Level 1 & 2), Certified IBM Academic Associate in DB2 9 Database and Application Fundamentals and Certified TRIZ Practitioner – Level 1. Currently, his research and professional interests focus on Internet Infrastructures Security and Information Security Management with specializations in Internet Protocol Version 6 (IPv6), Information Centric Network (ICN), Software Defined Network (SDN) and Vehicular Ad-hoc Network (VANET). His work offers deep insights into the evolving fields of cybersecurity, network architectures and the management of emerging technologies such as the Internet of Things (IoT), Cloud Computing, and Big Data.

Roy Zhang graduated from Harbin University of Technology in 1995 with majors in materials engineering and computer, and graduated from Jilin University with MBA in 2017. He formerly worked as Technical Director of Network Associates Inc., Business Development Manager of Cisco Systems Inc., Channel Director of VMWARE Inc., CEO of VIZIONCORE Inc. in China, Sales Director of CA Technologies, Sales Director of China HP Co., Vice President of AI data Business of UltraPower Co., Technical Service Center Vice President of Kylin Software Co., etc, and he has 7 patent intellectual property rights in the field of artificial intelligence; He currently works for Kylin Software co. as vice president of regional marketing center and the head of education and medical industry team, hosting and participating in domestic operating system educational products, solutions and technical services.

He has been deeply engaged in the field of AI algorithms for many years, accumulating rich practical experience. He has previously led projects in constructing question banks for consumer cloud education centers and recommending overseas content streams, gaining profound expertise in NLP and recommendation algorithms. Currently serving at Huawei Cloud Academy, He is devoted to AI algorithm research, closely tracking the cutting-edge trends such as large models. His current research emphasis is on innovatively building AI personal assistants based on large models, integrating knowledge graphs and RAG technology, to enhance the level of intelligent applications. His research also encompasses large model optimization and intelligent interaction of AI assistants, striving to promote the innovative application and development of AI technology in the field of education.