A Tractable Approximation for Evaluating the Performance of Slow Fluid Antenna Multiple Access

A fluid antenna system (FAS) promises outstanding flexibility that can lead to enhanced connectivity by enabling each user’s equipment in the network to exploit the interference null created naturally by multipath propagation. Consequently, in fluid antenna multiple access (FAMA), each user finds the best port in space that maximizes the signal-to-noise-interference over all the ports, allowing many more users to share the same radio channel without demanding involved signal processing. This paper concentrates on the practical version of FAMA, called slow FAMA (s-FAMA), where the fluid antenna of each user updates its best port only if the fading channel changes. Unlike previous works, where the performance metrics are derived in single/double fold integral, we provide a tractable analysis of the system performance of the s-FAMA scheme. Although s-FAMA schemes require complex analysis, we provide simple yet accurate closed-form approximate expressions for calculing the outage probability (OP) and the multiplexing gain metrics, thus facilitating their numerical evaluation in any computer software. Finally, useful insights on determining the number of ports at the FAS to attain a predefined multiplexing gain in the s-FAMA network are also provided.

Authors

Institutions

Publication Details

Journal
IEEE Open Journal of the Communications Society
Published
2025-01-01
DOI
https://doi.org/10.1109/ojcoms.2025.3559427
Citations
2
Primary Topic
Wireless Networks and Protocols
Type
article
Field-Weighted Citation Impact
2.97
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Tractable Approximation for Evaluating the Performance of Slow Fluid Antenna Multiple Access

José David Vega Sánchez, Nathaly Orozco Garzón, Henry Carvajal Mora, Diana Pamela Moya Osorio
2 citations
IEEE Open Journal of the Communications Society
Wireless Networks and Protocols
2.97
article

A Tractable Approximation for Evaluating the Performance of Slow Fluid Antenna Multiple Access

José David Vega Sánchez, Nathaly Orozco Garzón, Henry Carvajal Mora, Diana Pamela Moya Osorio
article en
2 citations

Abstract

A fluid antenna system (FAS) promises outstanding flexibility that can lead to enhanced connectivity by enabling each user’s equipment in the network to exploit the interference null created naturally by multipath propagation. Consequently, in fluid antenna multiple access (FAMA), each user finds the best port in space that maximizes the signal-to-noise-interference over all the ports, allowing many more users to share the same radio channel without demanding involved signal processing. This paper concentrates on the practical version of FAMA, called slow FAMA (s-FAMA), where the fluid antenna of each user updates its best port only if the fading channel changes. Unlike previous works, where the performance metrics are derived in single/double fold integral, we provide a tractable analysis of the system performance of the s-FAMA scheme. Although s-FAMA schemes require complex analysis, we provide simple yet accurate closed-form approximate expressions for calculing the outage probability (OP) and the multiplexing gain metrics, thus facilitating their numerical evaluation in any computer software. Finally, useful insights on determining the number of ports at the FAS to attain a predefined multiplexing gain in the s-FAMA network are also provided.

IEEE Open Journal of the Communications SocietyVol. 6
Linköping University (SE), Universidad de Las Américas (EC), Universidad San Francisco de Quito (EC)
Affordable and clean energy
Openalex Percentile: Top 9%
Wireless Networks and Protocols
2.97
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.