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Performance analysis of fluid antenna system aided OTFS satellite communications

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journal contribution
posted on 2025-11-25, 10:57 authored by Halvin Yang, Mahsa DerakhshaniMahsa Derakhshani, Sangarapillai LambotharanSangarapillai Lambotharan, Lajos Hanzo
<p dir="ltr">Internet-of-Things (IoT) networks often rely on satellite links for rural coverage, but high mobility induces severe Doppler and delay spreads. Orthogonal time frequency space (OTFS) modulation can mitigate these impairments, while fluid antenna systems (FAS) offer mechanical simplicity and adaptability under space/energy constraints. We propose a FAS-aided OTFS (FAS-OTFS) framework for satellite IoT, deriving outage probability and ergodic capacity under a general channel model that accounts for aggregate interference, spatial correlation, and imperfect-CSI port selection. Analytical results are given as integrals or bounds, with closed forms for a single-path scenario using a compact correlation/CSI-aware interpolation. We benchmark against maximal-ratio combining (MRC) under identical single-RF constraints, highlighting FAS selection efficiency. Our numerical results demonstrate significant performance gains in terms of both the outage probability and capacity compared to conventional OTFS systems, with tight agreement between theory and Monte Carlo simulation, confirming the efficacy of FAS-OTFS in energy-constrained high-mobility environments.</p>

Funding

Pervasive Wireless Intelligence Beyond the Generations (PerCom) : EP/X012301/1

History

School

  • Mechanical, Electrical and Manufacturing Engineering
  • Loughborough University, London

Published in

IEEE Journal on Selected Areas in Communications

Publisher

Institute of Electrical and Electronics Engineers

Version

  • AM (Accepted Manuscript)

Rights holder

© IEEE

Publisher statement

This accepted manuscript has been made available under the Creative Commons Attribution licence (CC BY) under the IEEE JISC UK green open access agreement.

Acceptance date

2025-09-22

Publication date

2025-09-25

Copyright date

2025

ISSN

0733-8716

eISSN

1558-0008

Language

  • en

Depositor

Prof Lambo Lambotharan. Deposit date: 25 September 2025