Uncoordinated and Decentralized Processing in Extra-Large MIMO Arrays
Abolfazl Amiri, Carles Navarro Manch'on, Elisabeth de Carvalho
TL;DR
This paper introduces a decentralized detection scheme for XL-MIMO systems that operates without a central CPU, improving scalability and performance by using a message-passing framework in distributed nodes.
Contribution
It presents a novel uncoordinated, distributed detection method for XL-MIMO arrays that addresses complexity, scalability, and non-stationarity challenges.
Findings
Significant performance gains over benchmark distributed methods
Operates close to centralized receivers in accuracy
Effectively handles non-stationarities in user energy distribution
Abstract
We propose a decentralized receiver for extra-large multiple-input multiple-output (XL-MIMO) arrays. Our method operates with no central processing unit (CPU) and all the signal detection tasks are done in distributed nodes. We exploit a combined message-passing framework to design an uncoordinated detection scheme that overcomes three major challenges in the XL-MIMO systems: computational complexity, scalability and non-stationarities in user energy distribution. Our numerical evaluations show a significant performance improvement compared to benchmark distributed methods while operating very close to the centralized receivers.
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