A Universal Block Error Rate Bound for Fluid Antenna Systems

2025-11-13

AI Summary

Existing studies lack a comprehensive modeling and performance evaluation framework for fluid antenna systems (FAS) under finite blocklength (FBL) constraints. Method: This paper introduces the first general, computationally tractable, and tight block error rate (BLER) bound for FBL-FAS, integrating FBL information theory, statistical modeling, and data-driven estimation—without requiring prior channel models or architectural assumptions. Contribution/Results: The proposed bound is theoretically rigorous and empirically consistent across diverse FAS configurations (e.g., single/multi-fluid antennas, fixed/adaptively reconfigurable setups), supporting both model-known and model-unknown scenarios. Simulation results across representative FAS deployments demonstrate excellent agreement with actual BLERs, confirming high accuracy, low analytical complexity, and strong generalizability. To our knowledge, this work establishes the first unified, model-agnostic performance benchmark for FBL-FAS design and analysis.

Technology Category

• Multiagent Systems: Other Foundations of Multi Agent Systems
• Cognitive Modeling & Cognitive Systems: Agent Architectures
• Machine Learning: Learning on the Edge & Model Compression

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Web performance, measurement, and characterization
• User Modeling, Personalization and Recommendation: Federated recommendation systems and personalization
• Search and Retrieval-Augmented AI: Web evaluation methodologies and metrics

Abstract

Fluid antenna systems (FASs) offer genuine simplicity for communication network design by eliminating expensive hardware overhead and reducing the complexity of access protocol architectures. Through the discovery of significant spatial diversity within a compact antenna space, FASs enable the implementation of reconfigurable-antenna-based architectures. However, current state-of-the-art studies rarely investigate the impact of finite blocklength constraints on FAS-based designs, leaving a gap in both analytical modeling and the establishment of a solid, universally applicable performance metric for finite blocklength fluid antenna systems (FBL-FAS). In this work, we focus on the study of FBL-FAS and, more importantly, derive a block error rate (BLER) bound that serves as a general and practical performance benchmark across various FAS architectures. The proposed BLER bound is computable both with and without an explicit statistical model, meaning that the BLER performance can be characterized analytically or empirically under model-aware or model-free system scenarios. Moreover, when the statistical model is known, the analytical results derived from the proposed BLER bound exhibit strong alignment with the empirical findings, demonstrating the remarkable simplicity, accuracy, and universality of the proposed BLER bound.

Problem

• Investigating finite blocklength constraints impact on fluid antenna systems
• Establishing universally applicable performance metric for FBL-FAS designs
• Deriving computable BLER bound for various FAS architectures

Innovation

• Derived universal BLER bound for fluid antenna systems
• Computable with or without explicit statistical model
• Demonstrated accuracy across various FAS architectures