open access publication

Article, 2022

Uncoordinated and Decentralized Processing in Extra-Large MIMO Arrays

IEEE WIRELESS COMMUNICATIONS LETTERS, ISSN 2162-2337, 2162-2337, Volume 11, 1, Pages 81-85, 10.1109/LWC.2021.3120694

Contributors

Amiri, Abolfazl (Corresponding author) [1] Manchon, Carles Navarro 0000-0001-8912-6758 [1] De Carvalho, Elisabeth [1]

Affiliations

  1. [1] Aalborg Univ, Dept Elect Syst, DK-9220 Aalborg, Denmark
  2. [NORA names: AAU Aalborg University; University; Denmark; Europe, EU; Nordic; OECD]

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.

Keywords

Array signal processing, Central Processing Unit, MIMO communication, Massive MIMO, Probability density function, Random variables, Receivers, Scalability, XL-MIMO, decentralized receivers, message-passing

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