In this talk, I focus on the following aspects of near-field communications (NFC) with a tutorial style: 1) Channel Modelling: I commence by reviewing the near-field spherical-wave-based channel models for spatially-discrete antennas. Then, uniform spherical wave and non-uniform spherical wave models are discussed. 2) Beamforming and Antenna Architectures: I continue to discuss the beamforming design and antenna architectures of NFC. Then, the basic principle of near-field beam training is introduced. 3) Performance Analysis: Finally, I provide comprehensive performance analysis for NFC. For near-field line-of-sight channels, the received signal-to-noise ratio and power-scaling law are derived. For the statistical near-field multipath channels, a general analytical framework is proposed, based on which, outage probability, ergodic channel capacity, and ergodic mutual information are derived.
Yuanwei Liu is an Associate Professor with the School of Electronic Engineering and Computer Science, Queen Mary University of London. His research interests are NOMA, RIS/STAR, Integrated sensing and communications, and machine learning. Yuanwei Liu is an IEEE Communication Society Distinguished Lecturer and IEEE Vehicular Technology Society Distinguished Lecturer. He received several career awards, including Web of Science Highly Cited Researcher 2021 and 2022, the 2020 IEEE ComSoc Outstanding Young Researcher Award for EMEA, the 2020 Early Achievement Award of the IEEE ComSoc Signal Processing and Computing for Communications (SPCC) Technical Committee, the 2020 Early Achievement Award of IEEE Communication Theory Technical Committee, the 2021 IEEE ComSoc Best Young Professional Outstanding Nominee, 2022 International Union of Radio Science Young Scientist Award. He received several best paper awards, he is the co-recipient of IEEE SPCC Best Paper Award, the Best Paper Award in ISWCS 2022 and the Best Student Paper Award in IEEE VTC2022-Fall. Yuanwei Liu received several research recognization, including listing 35 Innovators Under 35 China by MIT Technology Review in 2022, listing among the World's Top 2% Scientists by Stanford University from 2020 to 2022, the 2023 - Research.com Electronics and Electrical Engineering in United Kingdom Leader Award, AI 2000 Most Influential Scholar Honorable Mention in Internet of Things in both 2022 and 2023.
Yuanwei Liu is the academic Chair for the Next Generation Multiple Access Emerging Technology Initiative, the vice chair of the IEEE Technical Committee on Cognitive Networks (TCCN). He serves as a Senior Editor of IEEE Communications Letters, an Editor of the IEEE Transactions on Wireless Communications, the IEEE Transactions on Communications, and the IEEE Transactions on Network Science and Engineering. He serves as the Guest Editor for Proceeding of the IEEE, IEEE JSAC, IEEE JSTSP and IEEE Network. He has served as the Publicity Co-Chair for VTC 2019-Fall, Symposium Co-Chair for Cognitive Radio & AI-Enabled Networks for IEEE GLOBECOM 2022 and Communication Theory for IEEE GLOBECOM 2023. He serves as the chair of Special Interest Group (SIG) in SPCC Technical Committee on signal processing Techniques for next generation multiple access, the vice-chair of SIG WTC on Reconfigurable Intelligent Surfaces for Smart Radio Environments.