121 citations · 319 across the 18 of their papers we have counts for
6 papers · 1 filter
Copula-Induced Correntropy for Robust Conjugate Gradient Learning
Farshad Rostami Ghadi, F. Javier Lopez-Martinez, David Morales-Jimenez +2
Robust learning in the presence of non-Gaussian and statistically dependent noise remains a fundamental challenge in signal processing and adaptive systems. Although information-th…
Variable Block-Correlation Modeling and Optimization for Secrecy Analysis in Fluid Antenna Systems
Tuo Wu, Kwai-Man Luk, Jie Tang +9
Fluid antenna systems (FAS) are emerging as a transformative enabler for sixth-generation (6G) wireless communications, providing unprecedented spatial diversity through dynamic re…
FAS-RIS: A Block-Correlation Model Analysis
Xiazhi Lai, Junteng Yao, Kangda Zhi +3
In this correspondence, we analyze the performance of a reconfigurable intelligent surface (RIS)-aided communication system that involves a fluid antenna system (FAS)-enabled recei…
A Tutorial on Fluid Antenna System for 6G Networks: Encompassing Communication Theory, Optimization Methods and Hardware Designs
Wee Kiat New, Kai-Kit Wong, Hao Xu +9
The advent of the sixth-generation (6G) networks presents another round of revolution for the mobile communication landscape, promising an immersive experience, robust reliability,…
A New Spatial Block-Correlation Model for Fluid Antenna Systems
Pablo Ramirez-Espinosa, David Morales-Jimenez, Kai-Kit Wong
Powered by position-flexible antennas, the emerging fluid antenna system (FAS) technology is postulated as a key enabler for massive connectivity in 6G networks. The free movement…
The Road to 6G: Ten Physical Layer Challenges for Communications Engineers
Michail Matthaiou, Okan Yurduseven, Hien Quoc Ngo +3
While the deployment of 5G cellular systems will continue well in to the next decade, much interest is already being generated towards technologies that will underlie its successor…