Dr. Zilong Liu

Abstract: A fundamental research problem in ISAC is how to design optimal/good waveforms for efficient enabling of both sensing and communications. In the first part of this talk, I will introduce a novel multicarrier ISAC waveform having low peak-to-average power ratio property. We consider a flexible and generic ISAC structure in which a number of non-contiguous sub-bands for data transmission are located in a large contiguous spectrum band. Optimization is carried out for those non-communication subcarriers with the aid of the majorization-minimization method. In the second part, I will introduce several families of sensing sequences for low-complexity delay-Doppler estimation in ISAC systems. Fundamental limits and systematic constructions of these sequences will be presented.

Biography:

Dr. Zilong Liu is an Associate Professor with the School of Computer Science and Electronic Engineering, University of Essex, UK. He received his PhD (2014) from School of Electrical and Electronic Engineering, Nanyang Technological University (NTU, Singapore), advised by Prof Yong Liang Guan. He was also a Visiting PhD student to Hong Kong University of Science and Technology (hosted by Prof Wai Ho Mow) and the University of Melbourne (hosted by Prof Udaya Parampalli). His PhD thesis “Perfect- and Quasi- Complementary Sequences”, focusing on fundamental limits, algebraic constructions, and applications of complementary sequences in wireless communications, has settled a few long-standing open problems in the field. Before joining Essex, he was a Senior Research Fellow at the Institute for Communication Systems (ICS), Home of the 5G Innovation Centre (5GIC), University of Surrey, during which he studied the air-interface design of 5G communication systems.

His research lies in the interplay of coding, signal processing, and communications, with a major objective of bridging theory and practice. Recently, he has developed an interest in advanced 6G V2X communication, sensing, and localization technologies for future connected autonomous vehicles as well as machine learning for enhanced communications and networking. His research is/was generously supported by EPSRC, The Royal Society, British Council, London Mathematical Society, EU-H2020, The Research Council of Norway, The Research Foundation of Singapore, SPARC (India), etc.

He is a Senior Member of IEEE and an Associate Editor of IEEE Transactions on Wireless Communications, IEEE Transactions on Vehicular Technology, IEEE Transactions on Neural Networks and Learning Systems, IEEE Wireless Communications Letters, IEEE Access, and Advances in Mathematics of Communications. He was the Hosting General Chair of the 12^th Sequences and Their Applications (SETA’2024, https://seta-2024.github.io/) and the 10^th IEEE International Workshop on Signal Design and its Applications in Communications (iwsda2022.github.io). He was named the 2024 Outstanding Mid-Career Researcher in the Faculty of Science and Health, the University of Essex, in May 2024. He was a Consultant to the Japanese government on 6G assisted autonomous driving in January 2023. He was a Track Co-Chair on Networking and MAC in IEEE PIMRC’2023. Details of his research can be found at: https://sites.google.com/site/zilongliu2357.