Weighted MMSE Optimization of Conjugate Beamforming for Cell-Free Massive MIMO

  • Daesung Yu
  • , Hoon Lee
  • , Seung Eun Hong
  • , Seok Hwan Park

Research output: Contribution to conferenceConference paperpeer-review

Abstract

Cell-free massive multiple-input multiple-output (MIMO) systems are envisioned to achieve the improved spectral efficiency by supporting users via nearby access points (APs). This work addresses the optimization of beamforming weights for cell-free massive MIMO systems. The connectivity level constraints are taken into account to accommodate finite-rate fronthaul links. The minimum rate maximization problem is tackled by the weighted minimum mean squared error (WMMSE) algorithm. Numerical results show that the proposed scheme achieves significantly improved performance than a baseline scheme in overall signal-to-noise ratio (SNR) regime.

Original languageEnglish
Title of host publicationICUFN 2021 - 2021 12th International Conference on Ubiquitous and Future Networks
PublisherIEEE Computer Society
Pages261-263
Number of pages3
ISBN (Electronic)9781728164762
DOIs
StatePublished - 2021.08.17
Event12th International Conference on Ubiquitous and Future Networks, ICUFN 2021 - Virtual, Jeju Island, Korea, Republic of
Duration: 2021.08.172021.08.20

Publication series

NameInternational Conference on Ubiquitous and Future Networks, ICUFN
Volume2021-August
ISSN (Print)2165-8528
ISSN (Electronic)2165-8536

Conference

Conference12th International Conference on Ubiquitous and Future Networks, ICUFN 2021
Country/TerritoryKorea, Republic of
CityVirtual, Jeju Island
Period21.08.1721.08.20

Keywords

  • Cell-free massive MIMO
  • conjugate beamforming
  • weighted MMSE algorithm

Quacquarelli Symonds(QS) Subject Topics

  • Computer Science & Information Systems
  • Data Science

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