Distributed sparse activity detection in cell-free massive MIMO systems

Mangqing Guo, M. Cenk Gursoy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Distributed sparse activity detection in cell-free massive multiple-input multiple-output (MIMO) systems is considered in this paper. At the beginning of each channel coherence interval, all the active users send pilots to the access points (APs). Then, each AP makes its own decision on the activity of all the users based on the approximate message passing (AMP) iterative procedure. Following this, the optimal fusion rule is used at the fusion center to make the final decisions on the activity of all the users based on the individual decisions and the corresponding reliability obtained at all the APs. The performance levels of this distributed sparse activity detection method are analyzed with Monte Carlo simulations.

Original languageEnglish (US)
Title of host publicationGlobalSIP 2019 - 7th IEEE Global Conference on Signal and Information Processing, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728127231
DOIs
StatePublished - Nov 2019
Event7th IEEE Global Conference on Signal and Information Processing, GlobalSIP 2019 - Ottawa, Canada
Duration: Nov 11 2019Nov 14 2019

Publication series

NameGlobalSIP 2019 - 7th IEEE Global Conference on Signal and Information Processing, Proceedings

Conference

Conference7th IEEE Global Conference on Signal and Information Processing, GlobalSIP 2019
CountryCanada
CityOttawa
Period11/11/1911/14/19

Keywords

  • Cell-free massive MIMO
  • Fusion.
  • Log-likelihood ratio test
  • Sparse activity detection

ASJC Scopus subject areas

  • Information Systems
  • Information Systems and Management
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Signal Processing

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  • Cite this

    Guo, M., & Gursoy, M. C. (2019). Distributed sparse activity detection in cell-free massive MIMO systems. In GlobalSIP 2019 - 7th IEEE Global Conference on Signal and Information Processing, Proceedings [8969500] (GlobalSIP 2019 - 7th IEEE Global Conference on Signal and Information Processing, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GlobalSIP45357.2019.8969500