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Maximizing the network outage rate for fast fluid antenna multiple access systems

Wong, KK; Tong, KF; Chen, Y; Zhang, Y; (2023) Maximizing the network outage rate for fast fluid antenna multiple access systems. IET Communications 10.1049/cmu2.12592. (In press). Green open access

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Abstract

Using reconfigurable fluid antennas, it is possible to have a software-controlled position-tuneable antenna to realize spatial diversity and multiplexing gains that are previously only possible using multiple antennas. Recent results illustrated that fast fluid antenna multiple access (f-FAMA) which always tunes the antenna to the position for maximum signal-to-interference ratio (SIR) on a symbol-by-symbol basis, could support hundreds of users on the same radio channel, all by a single fluid antenna at each user without complex coordination and optimization. The network outage rate, nevertheless, depends on the SIR threshold chosen for each user. Motivated by this, this paper adopts a first-order approximation to obtain the outage probability expression from which a closed-form solution is derived for optimizing the SIR threshold in maximizing the network outage rate. Moreover, a closed-form expression is provided to estimate the number of users in the f-FAMA network in which the outage rate begins to plateau. Numerical results show that the proposed SIR threshold achieves near-maximal outage rate performance.

Type: Article
Title: Maximizing the network outage rate for fast fluid antenna multiple access systems
Open access status: An open access version is available from UCL Discovery
DOI: 10.1049/cmu2.12592
Publisher version: https://doi.org/10.1049/cmu2.12592
Language: English
Additional information: This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. © 2023 The Authors. IET Communications published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10166434
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