High SNR Probabilities of Continuous Fluid Antenna Systems in Ricean Environments
Amy S. Inwood, Peter J. Smith, Rajitha Senanayake, Michail Matthaiou

TL;DR
This paper derives the first analytical approximations for the high SNR probability of continuous fluid antenna systems in Ricean channels, highlighting the impact of channel variations and the Ricean K-factor on performance.
Contribution
It provides the first closed-form expression for the Euler characteristic density of a non-central chi-squared field and analyzes the high SNR behavior of CFAS in Ricean environments.
Findings
Accurate high SNR probability approximations for CFAS in Ricean channels.
First closed-form Euler characteristic density for non-central chi-squared fields.
Channel variations and K-factor significantly influence CFAS performance.
Abstract
We consider a single-user (SU) continuous fluid antenna system (CFAS) employing matched filtering (MF) operating over a Ricean fading channel. Focusing on the upper tail of the received signal-to-noise ratio (SNR) distribution (the high SNR probability (HSP)), we derive accurate approximations for the HSP in 1, 2, and 3 dimensions using the expected Euler characteristic (EEC), presenting the first analytical results for a CFAS in a Ricean environment. In the process, we provide the first closed-form expression for the Euler characteristic density of a non-central chi-squared random field. We then examine the impact of the Ricean K-factor on the CFAS performance, emphasizing the critical role of channel variations in achieving a strong HSP.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
