Novel Expressions for the Outage Probability and Diversity Gains in Fluid Antenna System

The flexibility and reconfigurability at the radio frequency (RF) front-end offered by the fluid antenna system (FAS) make this technology promising for providing remarkable diversity gains in networks with small and constrained devices. Toward this direction, this letter compares the outage probabi...

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Bibliographic Details
Published in:IEEE wireless communications letters 2024-02, Vol.13 (2), p.372-376
Main Authors: Vega-Sanchez, Jose David, Lopez-Ramirez, Arianna Estefania, Urquiza-Aguiar, Luis, Osorio, Diana Pamela Moya
Format: Article
Language:English
Subjects:
Antennas
Approximation
Asymptotic matching
Asymptotic methods
Asymptotic properties
Closed form solutions
Diversity reception
Electron tubes
Exact solutions
Fading channels
Mathematical analysis
maximum-gain combining-FAS (MGC-FAS)
Nakagami-m fading
outage probability
Outages
Power system reliability
Probability
Radio frequency
Signal to noise ratio
spatial correlation
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Summary:The flexibility and reconfigurability at the radio frequency (RF) front-end offered by the fluid antenna system (FAS) make this technology promising for providing remarkable diversity gains in networks with small and constrained devices. Toward this direction, this letter compares the outage probability (OP) performance of non-diversity and diversity FAS receivers undergoing spatially correlated Nakagami- {m} fading channels. Although the system properties of FAS incur in complex analysis, we derive a simple yet accurate closed-form approximation by relying on a novel asymptotic matching method for the OP of a maximum-gain combining-FAS (MGC-FAS). The approximation is performed in two stages, the approximation of the cumulative density function (CDF) of each MGC-FAS branch, and then the approximation of the end-to-end CDF of the MGC-FAS scheme. With these results, closed-form expressions for the OP and the asymptotic OP are derived. Finally, numerical results validate our approximation of the MGC-FAS scheme and demonstrate its accuracy under different diversity FAS scenarios.
ISSN:2162-2337
2162-2345
2162-2345
DOI:10.1109/LWC.2023.3329780