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UAV-Relay Assisted RSMA Fluid Antenna System: Outage Probability Analysis

Farshad Rostami Ghadi, Masoud Kaveh, Francisco Hernando-Gallego, Diego Martin, Kai-Kit Wong, Chan-Byoung Chae

TL;DR

This work analyzes outage probability in a UAV-relayed multiuser network where ground users employ fluid antenna systems (FAS) and the base station uses rate-splitting multiple access (RSMA). It derives a compact outage probability expression and its high-SNR asymptotics by leveraging a multivariate $t$-distribution to capture correlations among FAS ports. Numerical results demonstrate that FAS at ground users, combined with UAV relaying and RSMA, yields reliability gains over fixed-position antennas and outperforms NOMA in this setting. The findings indicate that fluid antenna mobility and UAV assistance can significantly enhance interference management and reliability in next-generation networks (6G).

Abstract

This letter studies the impact of fluid antenna system (FAS) technology on the performance of unmanned aerial vehicle (UAV)-assisted multiuser communication networks. Specifically, we consider a scenario where a fixed-position antenna (FPA) base station (BS) serves K FAS-equipped users with the assistance of a UAV acting as an aerial relay. The BS employs rate-splitting multiple access (RSMA), while the UAV operates in half-duplex (HD) mode using the decode-and-forward (DF) strategy. For this system, we derive a compact analytical expression for the outage probability (OP) and its asymptotic behavior in the high signal-to-noise ratio (SNR) regime, leveraging the multivariate t-distribution. Our results show how deploying FAS at ground users (GUs) in UAV-aided communications improves overall system performance compared to using FPA GUs.

UAV-Relay Assisted RSMA Fluid Antenna System: Outage Probability Analysis

TL;DR

This work analyzes outage probability in a UAV-relayed multiuser network where ground users employ fluid antenna systems (FAS) and the base station uses rate-splitting multiple access (RSMA). It derives a compact outage probability expression and its high-SNR asymptotics by leveraging a multivariate -distribution to capture correlations among FAS ports. Numerical results demonstrate that FAS at ground users, combined with UAV relaying and RSMA, yields reliability gains over fixed-position antennas and outperforms NOMA in this setting. The findings indicate that fluid antenna mobility and UAV assistance can significantly enhance interference management and reliability in next-generation networks (6G).

Abstract

This letter studies the impact of fluid antenna system (FAS) technology on the performance of unmanned aerial vehicle (UAV)-assisted multiuser communication networks. Specifically, we consider a scenario where a fixed-position antenna (FPA) base station (BS) serves K FAS-equipped users with the assistance of a UAV acting as an aerial relay. The BS employs rate-splitting multiple access (RSMA), while the UAV operates in half-duplex (HD) mode using the decode-and-forward (DF) strategy. For this system, we derive a compact analytical expression for the outage probability (OP) and its asymptotic behavior in the high signal-to-noise ratio (SNR) regime, leveraging the multivariate t-distribution. Our results show how deploying FAS at ground users (GUs) in UAV-aided communications improves overall system performance compared to using FPA GUs.

Paper Structure

This paper contains 8 sections, 1 theorem, 26 equations, 2 figures.

Table of Contents

  1. Introduction
  2. System Model
  3. Network Model
  4. Channel Model
  5. Signal Model
  6. OP Analysis
  7. Numerical Results
  8. Conclusion

Key Result

Proposition 1

The OP of the $k$-th GU for the considered UAV-relay aided FAS using RSMA is given by where $\hat{\zeta}=\max\left\{\hat{\gamma}_{\mathrm{th}}^{c,k},\hat{\gamma}_{\mathrm{th}}^{p,k}\right\}$ and $\tilde{\zeta}=\max\left\{\tilde{\gamma}_{\mathrm{th}}^{c,k},\tilde{\gamma}_{\mathrm{th}}^{p,k}\right\}$, in which we have

Figures (2)

  • Figure 1: Sketch of the UAV-relay assisted FAS.
  • Figure 2: (a) OP versus transmit power $P$ for different values of $N_k$ and $W_k$. (b) OP versus transmit power $P$ for different values of $m_k$. (c) OP versus transmit power $P$ for different multiple access schemes. (d) OP versus RSMA common message power allocation factor $\alpha_c$ for differnt values of $\gamma_{\mathrm{th}}^{c,k}$.

Theorems & Definitions (4)

  • Proposition 1
  • proof
  • Remark 1
  • Remark 2