@misc{10481/96099,
year = {2024},
month = {8},
url = {https://hdl.handle.net/10481/96099},
abstract = {Powered by position-flexible antennas, the emerging
fluid antenna system (FAS) technology is postulated as
a key enabler for massive connectivity in 6G networks. The
free movement of antenna elements enables the opportunistic
minimization of interference, allowing several users to share the
same radio channel without the need of precoding. However, the
true potential of FAS is still unknown due to the extremely high
spatial correlation of the wireless channel between very close-by
antenna positions. To unveil the multiplexing capabilities of FAS,
proper (simple yet accurate) modeling of the spatial correlation is
prominently needed. Realistic classical models such as Jakes’s are
prohibitively complex, rendering intractable analyses, while state-of-the-art approximations often are too simplistic and poorly
accurate. Aiming to fill this gap, we here propose a general
framework to approximate spatial correlation by block-diagonal
matrices, motivated by the well-known block fading assumption
and by statistical results on large correlation matrices.
The proposed block-correlation model makes the performance
analysis possible, and tightly approximates the results obtained
with realistic models (Jakes’s and Clarke’s). Our framework
is leveraged to analyze fluid antenna multiple access (FAMA)
systems, evaluating their performance for both one- and two-dimensional
fluid antennas.},
organization = {State Research Agency (AEI) of
Spain under grant PID2020-118139RB-I0/AEI/10.13039/501100011033},
organization = {“María Zambrano” Fellowship
funded by the European Union – Next Generation EU via the Ministry of
Universities of the Spanish Government},
organization = {AEI and the European Social Fund under grant RYC2020-030536-I},
organization = {Engineering and
Physical Sciences Research Council (EPSRC) under Grant EP/W026813/1},
publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
title = {A New Spatial Block-Correlation Model for Fluid Antenna Systems},
doi = {10.1109/TWC.2024.3434509},
author = {Ramírez Espinosa, Pablo and Morales-Jimenez, David and Wong, Kai Kit},
}