Fluid antenna systems (FAS) are an emerging technology that promises a signif icant diversity gain even in the smallest spaces. Motivated by the groundbreaking
potentials of liquid antennas, researchers in the wireless communication community
are investigating a novel antenna system where a single antenna can freely switch
positions along a small linear space to pick the strongest received signal. However,
the FAS positions do not necessarily follow the ever-existing rule separating them
by at least half the radiation wavelength. Previous work in the literature param eterized the channels of the FAS ports simply enough to provide a single-integral
expression of the probability of outage and various insights on the achievable perfor mance. Nevertheless, this channel model may not accurately capture the correlation
between the ports, given by Jake’s model. This work builds on the state-of-the-art
and accurately approximates the FAS channel while maintaining analytical tractabil ity. 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 provides a single integral represen tation of the FAS probability of outage. Further, the performance of such innovative
technology is investigated under a less-idealized correlation model. Numerical results
validate our approximations of the FAS channel model and demonstrate a limited
performance gain under realistic assumptions. 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 antennas solutions.
| Identifer | oai:union.ndltd.org:kaust.edu.sa/oai:repository.kaust.edu.sa:10754/676178 |
| Date | 04 1900 |
| Creators | Khammassi, Malek |
| Contributors | Alouini, Mohamed-Slim, Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division, Kammoun, Abla, Al-Naffouri, Tareq Y., Bolin, David |
| Source Sets | King Abdullah University of Science and Technology |
| Language | English |
| Detected Language | English |
| Type | Thesis |
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