Problem
Research questions and friction points this paper is trying to address.
Unsourced Random Access
Multiuser Interference
Distributed Channel Uncertainty
Local Fading
Fluid-Antenna-Assisted Distributed Joint Decoding for Cell-Free Massive MIMO Unsourced Random Access
🤖 AI Summary
本文提出一种流体天线辅助的分布式联合解码方法，用于解决无源随机接入中的多用户干扰、信道不确定性和局部衰落问题。
📝 Abstract
Unsourced random access (URA) supports massive sporadic connectivity but remains limited by multiuser interference, distributed channel uncertainty, and local fading. This paper proposes a fluid-antenna-assisted distributed joint decoder for cell-free massive MIMO URA. Single-radio-frequencychain access points sequentially sound correlated ports; the central processor then performs correlation-aware expectationmaximization approximate message passing, selects one common payload port per access point, and combines MIMO iterative Gaussian approximation with full-packet channel re-estimation and successive interference cancellation. Fixed-port ablations confirm the complementary benefits of distributed reception, reestimation, and iterative cancellation, while fluid-antenna simulations show improved average and lower-tail received power over fixed-port reception. The framework provides a feasible integration of fluid antennas and cell-free URA and motivates end-to-end evaluation under pilot collisions and switching overhead.
Innovation
Methods, ideas, or system contributions that make the work stand out.
fluid-antenna-assisted
distributed joint decoding
cell-free massive MIMO
expectation-maximization approximate message passing
successive interference cancellation
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