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On Performance of RIS-Aided Fluid Antenna Systems
Farshad Rostami Ghadi, Kai-Kit Wong, Wee Kiat New, Hao Xu, Ross Murch, Yangyang Zhang
TL;DR
The synergy between RIS and FAS in communications is not well understood. This letter models a blocked-direct-link RIS channel to a FAS user and analyzes port correlation and equivalent-channel distributions. Its numerical results report that one-active-port FAS outperforms TAS in the RIS-assisted setting.
Problem
The synergy between RIS and FAS is not well understood, including for a single-user channel with an optimized RIS.
Source: §I · p. 1Method
The paper characterizes FAS-port spatial correlation, models equivalent-channel distributions using the Gaussian copula, and derives OP and DOR expressions.
Source: §I · p. 1, §II · p. 2, A. Statistical Characterization · p. 3Results
From a URLLC perspective, FAS with one active port overtakes TAS in RIS-assisted communication systems.
Source: §IV · p. 4Takeaways & Limitations
The numerical results indicate that FAS can provide more reliable and low-latency transmission in RIS-aided systems when the number of RIS elements is large.
Source: §V · p. 4
Abstract
from arXiv · showhide
This letter studies the performance of reconfigurable intelligent surface (RIS)-aided communications for a fluid antenna system (FAS) enabled receiver. Specifically, a fixed singleantenna base station (BS) transmits information through a RIS to a mobile user (MU) which is equipped with a planar fluid antenna in the absence of a direct link.We first analyze the spatial correlation structures among the positions (or ports) in the planar FAS, and then derive the joint distribution of the equivalent channel gain at the user by exploiting the central limit theorem. Furthermore, we obtain compact analytical expressions for the outage probability (OP) and delay outage rate (DOR). Numerical results illustrate that using FAS with only one activated port into the RIS-aided communication network can greatly enhance the performance, when compared to traditional antenna systems (TAS).
I. INTRODUCTION
The synergy between RIS and FAS is not well understood. This letter studies a single-user link through an optimized RIS, with a fixed-position BS and a planar FAS user, and analyzes the channel and outage performance.
I. INTRODUCTION
- The study considers a fixed-position single-antenna BS communicating through an optimized RIS to a planar FAS user, with the direct link blocked.The FAS user switches to the best position in a prescribed 2D space for reception.Source: §I · p. 1
- Prior work combining RIS and FAS used randomized RISs as scatterers for multiuser signal differentiation, whereas this letter considers an optimized RIS in a single-user channel.Source: §I · p. 1
- The letter characterizes FAS-port spatial correlation, derives equivalent-channel distributions using the Gaussian copula, and obtains compact OP and DOR expressions.Its numerical results indicate that FAS can make RIS-aided communication more effective than TAS.Source: §I · p. 1
II. SYSTEM MODEL
The system model uses a blocked-direct-link, RIS-assisted channel to a planar FAS user. It accounts for correlated ports and selects the port with the highest received SNR.
II. SYSTEM MODEL
- A single-TAS BS communicates with a planar FAS user through an RIS of M reflecting elements because the direct link is blocked.The model assumes perfect CSI at the RIS for optimal phase configuration and a uniformly spaced grid of ports over a 2D area.Source: §II · pp. 1–2
- The equivalent channel at each FAS port combines the BS–RIS and RIS–user channel gains, with adjustable RIS element phases and AWGN at each port.The model includes link distances and a pathloss exponent α > 2.Source: §II · p. 2
- Because ports can be arbitrarily close, their channel coefficients are spatially correlated; the model characterizes this correlation for a planar FAS with 180° reception coverage.The correlation matrix is formed after mapping the 2D port indices to a 1D index.Source: §II · p. 2
- Only the port that maximizes the user's received SNR is activated.The selected port is indexed by n∗.Source: §II · p. 2
III. PERFORMANCE ANALYSIS
The performance analysis characterizes the equivalent channel at the user and derives compact outage measures.
III. PERFORMANCE ANALYSIS
- The analysis characterizes the equivalent-channel CDF and PDF at the user using the central limit theorem and copula theory.Source: §III · p. 2
- It derives compact analytical expressions for outage probability and delay outage rate.Source: §III · p. 2
- The resulting channel distributions provide the basis for the paper's outage and delay-outage analysis.Source: §III · p. 2
A. Statistical Characterization
The analysis characterizes the channel gain across fluid-antenna ports by deriving marginal and joint distributions. It uses a Gaussian copula to model spatial dependence and make the analysis more tractable.
A. Statistical Characterization
- With perfect RIS CSI, ideal phase shifting is assumed, and for M ≫ 1 the sum of reflected contributions is approximated as Gaussian by the central limit theorem.The approximation provides the basis for the channel-gain distribution derivation.Source: A. Statistical Characterization · p. 2
- The channel-gain marginal distribution is characterized using a non-central chi-square model, with its CDF and PDF used to derive the distribution of h^2_FAS.A is the non-centrality parameter, and Q_l denotes the Marcum Q-function.Source: A. Statistical Characterization · p. 2
- Sklar’s theorem connects the joint port-channel distribution to its marginals through a copula, whose parameter controls dependence between fluid-antenna ports.The copula density is used to obtain the corresponding joint PDF.Source: A. Statistical Characterization · pp. 2–3
- The Gaussian copula is selected to represent spatial correlation between ports and make the mathematical analysis more tractable.Its expressions involve the multivariate normal joint CDF and the correlation matrix.Source: A. Statistical Characterization · p. 3
B. OP Analysis
This section defines outage probability as the chance that received SNR falls below a threshold and gives an analytical expression for OP in the considered RIS-aided FAS.
B. OP Analysis
- OP is the probability that received SNR γ is below the threshold γ_th.The paper expresses this probability as P_out = Pr(γ ≤ γ_th).Source: B. OP Analysis · p. 3
- Proposition 1 gives the OP for the considered RIS-aided FAS using the previously derived channel distribution.The proposition states an analytical expression for the outage probability.Source: B. OP Analysis · p. 3
- The proof applies the OP definition and transforms the SNR variable to complete the derivation.The transformation is stated in the proof as γ = A^2γ̃_d.Source: B. OP Analysis · p. 3
C. DOR Analysis
This section defines delay outage rate in terms of delivery time exceeding a duration threshold and presents an analytical DOR expression for the considered RIS-aided FAS.
C. DOR Analysis
- DOR measures the probability that delivery time exceeds a preset duration threshold while transmitting a specified data amount.The delivery time is denoted T_dt, and the threshold is T_th.Source: C. DOR Analysis · p. 3
- Proposition 2 gives the DOR for the considered RIS-aided FAS.The expression follows the DOR definition based on delivery time exceeding the duration threshold.Source: C. DOR Analysis · p. 3
IV. NUMERICAL RESULTS
The numerical results show that a one-port FAS can outperform TAS in RIS-assisted URLLC, while OP and DOR gains depend on antenna configuration and RIS size.
- With larger N or W, OP improves over TAS, and larger M makes the gain more noticeable.Source: §IV · p. 3, Figure 2 · p. 4
- OP initially improves as N grows then floors; increasing W improves OP more slowly at larger W, with gains requiring sufficiently large M.For M = 125, OP falls from the order of 10^-3 to 10^-7 as W grows from 1 to 9 λ², while it nearly stays constant for M = 105.Source: §IV · p. 4
- For fixed data, higher bandwidth reduces delay more noticeably at larger M, while growing N or W improves DOR versus TAS.Source: §IV · p. 4
- At B = 2 MHz, transmitting more data weakens DOR, but FAS can keep delay low where TAS transmission is nearly impossible for R = 5 kbits.Source: §IV · p. 4
- With one active FAS port, the RIS-assisted system overtakes TAS for URLLC.Source: §IV · p. 4
V. CONCLUSION
The letter analyzes a fixed single-antenna BS communicating through an optimized RIS to a FAS-equipped user, then derives channel distributions, OP, and DOR. Its numerical results indicate more reliable, lower-latency transmission when the RIS has many elements.
- The studied link uses a fixed single-antenna BS, an optimized RIS, and a FAS-equipped user.Source: §V · p. 4
- The authors model spatial correlation between fluid antenna ports with a Gaussian copula to characterize the user's equivalent-channel CDF and PDF, then derive compact OP and DOR expressions.Source: §V · p. 4
- With a large number of RIS elements, the numerical results indicate more reliable and lower-latency transmission using FAS in RIS-aided systems.Source: §V · p. 4
APPENDIX A SPATIAL CORRELATION IN PLANAR FAS
The appendix develops the planar FAS spatial-correlation formulation from port geometry and an incident wave model, including a specified isotropic-scattering case.
- The appendix sets up the n-th port position from the planar FAS's size and port count.Source: Appendix A · p. 4
- For a plane wave with azimuth ω and elevation ν, the appendix formulates the array response vector and identifies the wave vector.Source: Appendix A · p. 4
- For 3D isotropic half-space scattering, f(ω, ν) = cos(ν); Euler's formula then determines the spatial-correlation entry.Source: Appendix A · pp. 4–5
- The appendix closes its proof by equating (24) to (2).Source: Appendix A · p. 5