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research article

A New Analytical Approximation of the Fluid Antenna System Channel

Khammassi, Malek  
•
Kammoun, Abla
•
Alouini, Mohamed-Slim
December 1, 2023
Ieee Transactions On Wireless Communications

Fluid antenna systems (FAS) are an emerging technology that promises a significant diversity gain even in the smallest spaces. It consists of a freely moving antenna in a small linear space to pick up the strongest received signal. Previous works in the literature provide a simple yet insightful parameterization of the FAS channel that leads to single-integral expressions of the probability of outage and various insights on the achievable performance. Nevertheless, this channel model may not accurately capture the correlation between the FAS ports, given by Jake's model. This work builds on the state-of-the-art by incorporating more parameters into the channel model to accurately approximate the FAS channel distribution while maintaining analytical tractability. The approximation is performed in two stages. The first stage approximation considerably reduces the number of multi-fold integrals in the probability of outage expression, while the second stage approximation represents it in a single integral form. Numerical results validate our approximations of the FAS channel model and demonstrate a limited performance gain under a more accurate correlation model. Further, our work opens the door for future research to investigate scenarios in which the FAS provides a performance gain compared to the current multiple antenna solutions.

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Type
research article
DOI
10.1109/TWC.2023.3266411
Web of Science ID

WOS:001128031700023

Author(s)
Khammassi, Malek  
Kammoun, Abla
Alouini, Mohamed-Slim
Date Issued

2023-12-01

Publisher

Ieee-Inst Electrical Electronics Engineers Inc

Published in
Ieee Transactions On Wireless Communications
Volume

22

Issue

12

Start page

8843

End page

8858

Subjects

Technology

•

Diversity

•

Fluid Antennas

•

Mimo

•

Multiple Antennas

•

Selection Combining

•

Outage Probability

•

Correlated Channels

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
ASL  
FunderGrant Number

King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research (OSR)

Available on Infoscience
March 18, 2024
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/206299
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