IoT/INTR Thrust Joint Seminar | Code-Domain Non-Orthogonal Multiple Access for 6G
Supporting the below United Nations Sustainable Development Goals:支持以下聯合國可持續發展目標：支持以下联合国可持续发展目标：
Non-orthogonal multiple access (NOMA) is an emerging paradigm for the enabling of massive connectivity in future machine-type communications. Despite numerous research attempts in the past years, however, NOMA has not been written into 5G New Radio. In this talk, I will argue that Code-Domain NOMA (CD-NOMA) is the most promising NOMA scheme for the upcoming 6G mobile systems. Evolving from CDMA, the multiplexing of CD-NOMA is achieved by exploiting certain structural properties of codebooks/sequences. I will introduce the basic principles, the optimal codebook design, and the error rate performances of various CD-NOMA systems. In particular, I will introduce our new CD-NOMA system design on supporting massive connectivity over high mobility channels.
Dr Zilong Liu has been with the School of Computer Science and Electronic Engineering, University of Essex, since December 2019, first as a Lecturer and then a Senior Lecturer since October 2023. He received his PhD from School of Electrical and Electronic Engineering, Nanyang Technological University (NTU, Singapore) in 2014, advised by Prof Yong Liang Guan. He was a Visiting PhD student to HKUST in 2013, hosted by Prof Wai Ho Mow.
From Jan. 2018 to Nov. 2019, 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 networks. Prior to his career in UK, he spent nine and half years in NTU, first as a Research Associate (Jul. 2008 to Oct. 2014) and then a Research Fellow (Nov. 2014 to Dec. 2017). 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.
His research lies in the interplay of coding, signal processing, and communications, with a major objective of bridging theory and practice as much as possible. Recently, he has developed an interest in advanced 6G V2X communication/sensing/localization technologies for future connected autonomous vehicles as well as machine learning for enhanced communications and networking.