This letter investigates the performance of an N-port FAS over Nakagami-m fading channels under imperfect CSI, and reveals that HQAM outperforms conventional QAM, achieving approximately 2 dB and 0.8 dB SNR gains over 128-RQAM and 256-SQAM, respectively.
Abstract
Fluid antenna systems (FAS) have recently emerged as an effective solution for enhancing spatial diversity within compact and flexible wireless architectures. In practical communication systems, however, channel estimation errors are inevitable, which necessitates performance analysis under imperfect channel state information (CSI). This letter investigates the performance of an N-port FAS over Nakagami-m fading channels under imperfect CSI. Closed-form analytical expressions are derived for the cumulative distribution function, probability density function, outage probability, and ergodic capacity, along with high-SNR asymptotic approximations. The average symbol error rate of hexagonal QAM (HQAM) and rectangular QAM (RQAM) is also analyzed under the considered conditions. An asymptotic diversity study reveals that the achievable diversity order is jointly determined by the effective spatial rank of the FAS and the Nakagami fading parameter, while imperfect CSI degrades performance without affecting diversity scaling. Simulation results validate the analysis and demonstrate that HQAM outperforms conventional QAM, achieving approximately 2 dB and 0.8 dB SNR gains over 128-RQAM and 256-SQAM, respectively.
This paper investigates the outage performance of an IRS-assisted cell-free massive multiple-input multiple-output (MIMO) system for ultra-reliable low-latency communication (URLLC) scenarios. The direct and cascaded channels are modeled using Rician fading distributions, and maximum ratio transmission (MRT) precoding...
Cell-free massive multiple-input multiple-output (CF-mMIMO) is a promising architecture for future wireless networks, yet its practical deployment is severely hindered by hardware impairments and time-varying channel conditions. To address these challenges, we investigate downlink transmission in a rate-splitting multi...
Le-Chen Li, Yao Zhang, Wenchao Xia et al.· 2026 IEEE/CIC International...· 0 citations
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