π€ AI Summary
This work addresses the lack of systematic analysis on the capacity characteristics of dual-sided fluid antenna systems under correlated channels, where both transmitter and receiver employ fluid antennasβa scenario largely overlooked in existing literature. The study presents the first joint-correlated channel model for such dual-sided configurations and derives an analytical expression for the ergodic capacity along with a tight closed-form upper bound, leveraging statistical eigenmode transmission, random matrix theory, and convex optimization. Furthermore, a low-complexity iterative algorithm for optimal power allocation is developed. Both theoretical analysis and simulations demonstrate that the proposed algorithm significantly enhances system capacity, offering a solid theoretical foundation and a practical solution for performance evaluation and optimization of dual-sided fluid antenna systems.
π Abstract
Fluid antenna systems (FASs) have introduced a new paradigm for wireless system design by revealing how mutual correlation can be exploited to harvest inherent spatial diversity. While existing studies have mainly focused on one-sided FAS configurations, i.e., with FAS deployed at either the transmitter or the receiver, this work investigates the ergodic capacity of a jointly correlated dual-side FAS under statistical eigenmode transmission. Specifically, a jointly correlated dual-side channel model is developed, and the corresponding ergodic capacity together with a tight closed-form upper bound is derived. In addition, the optimal power allocation is studied, and a practical iterative algorithm is proposed for its implementation.