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20242026
most citedFinite-blocklength Fluid Antenna Systems With Spatial Block-Correlation Channel Model

17 citations · 48 across the 43 of their papers we have counts for

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eess.SP2026

Performance Limits of FRIS Systems in Nakagami- Fading

Masoud Khazaee, Felipe A. P. de Figueiredo, Rausley A. A. de Souza +4

Fluid reconfigurable intelligent surfaces (FRIS) have recently emerged as a promising technology for enhancing wireless link reliability through spatial decorrelation. However, the…

eess.SP2026

Geometry-Structured Channel Reconstruction for Conventional and Fluid Antenna Systems: Bayesian Inference and Fundamental Limits

Zhentian Zhang, Kai-Kit Wong, Kaitao Meng +5

Accurate channel state information (CSI) acquisition is critical for exploiting the spatial flexibility of fluid antenna systems (FASs). However, port selection and transmission op…

eess.SP2026

Diffusion Fluid Antenna Systems for Resilient ISAC

Noor Waqar, Kai-Kit Wong, Chan-Byoung Chae +1

Most existing integrated sensing and communication (ISAC) studies focus on enabling a base station (BS) to support sensing and communication over shared resources through advanced…

eess.SP2026

Fast Fluid Antenna Multiple Access

Noor Waqar, Kai-Kit Wong, Chan-Byoung Chae +1

Fast fluid antenna multiple access (FAMA) is an idea that promises to overcome severe interference in massive access scenarios by reconfiguring the antenna's position at the receiv…

eess.SP2026

Stochastic Geometry Analysis of Uplink CUMA-Enabled Cellular Networks

Chenguang Rao, Kai-Kit Wong, Xusheng Zhu +3

Uplink cellular networks are interference-dominated but interference channel state information (CSI) is rarely available at scale. The emerging fluid antenna system (FAS) concept,…

eess.SP2026

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…