4.7k citations · 4.8k across the 7 of their papers we have counts for
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Degrees of Freedom and Beamforming for Large Intelligent Surfaces
Jiawang Li, Alireza Saberkari, Buon Kiong Lau +1
Spatial degrees of freedom (DoF), sampling, and beamforming are fundamental to multi-user large intelligent surfaces (LISs), where electromagnetic fields must be shaped, resolved,…
Vertical Sub-THz Channel Characterization: Sounder Implementation and Initial Measurements
Ali Al-Ameri, Xuesong Cai, Juan Sanchez +4
We present a measurement-based characterization of indoor vertical ceiling-to-ground sub-THz channels in the 136-144 GHz band, motivated by ceiling-mounted radio-unit deployments f…
Properties of Near Field Focusing for Three-Dimensional Large Intelligent Surface
Jiawang Li, Mats Gustafsson, Alireza Saberkari +1
This work investigates near-field focusing using a three-dimensional (3D) large intelligent surface (LIS) across frequencies and polarizations. Specifically, the LIS elements are d…
Distributed Deployment and Dual-Frequency Concepts to Strengthen Sub-THz Wireless Systems
Liesbet Van der Perre, Gilles Callebaut, Thomas Eriksson +5
The vast bandwidth available at sub-THz frequencies holds great promise for high-speed wireless access, precise localization, and advanced sensing applications. However, fundamenta…
On Properties of Phase-Conjugation Focusing for Large Intelligent Surface Applications -- Part I: Vertical Polarization
Jiawang Li
Large intelligent surface (LIS) is one promising path to leverage 6G performance in sub-10 GHz bands. This two-part paper explores the properties of phase-conjugation focusing for…
On Properties of Phase-Conjugation Focusing for Large Intelligent Surface Applications -- Part II: Horizontal Polarization
Jiawang Li
Near-field focusing (NFF) forms the basis for several applications of large intelligent surface (LIS) in sub-10 GHz bands, including wireless communications, wireless power transfe…
Artificial intelligence enabled radio propagation for communications-Part II: Scenario identification and channel modeling
Chen Huang, Ruisi He, Bo Ai +8
This two-part paper investigates the application of artificial intelligence (AI) and in particular machine learning (ML) to the study of wireless propagation channels. In Part I, w…
Artificial intelligence enabled radio propagation for communications-Part I: Channel characterization and antenna-channel optimization
Chen Huang, Ruisi He, Bo Ai +8
To provide higher data rates, as well as better coverage, cost efficiency, security, adaptability, and scalability, the 5G and beyond 5G networks are developed with various artific…