Uplink Detection and Accessing Scheme for Scalable Cell-Free Massive MIMO Systems

  • Xiangjun Ma
  • , Xianfu Lei*
  • , Xinyuan Zhang
  • , P. Takis Mathiopoulos
  • , Kai Yu
  • , Xiaohu Tang
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

A scalable cell-free massive MIMO (SCF-mMIMO) system where all user equipments (UEs) and access points (APs) employ finite resolution digital-to-analog converters (DACs) and analog-to-digital converters (ADCs) over correlated Rician fading is presented and analysed in this paper. A closed-form expression for the uplink (UL) spectral efficiency (SE) using maximal-ratio combining (MRC) detection for centralized scheme is first derived. Moreover, a novel low complexity partial MMSE (P-MMSE) detector is proposed, which achieves very similar SE performance and maintains much less computational complexity in comparison with the original partial MMSE (P-MMSE) detector. In addition, a joint algorithm consisting of AP cluster formation, pilot assignment, and power control policy is proposed, which yields much higher SE performance than random pilot assignment and user-group based pilot assignment policies do, and meanwhile improves the quality of service (QoS) fairness for all accessing UEs as compared to the equal power transmit policy.

Original languageEnglish
Title of host publicationICC 2022 - IEEE International Conference on Communications
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages962-967
Number of pages6
ISBN (Electronic)9781538683477
DOIs
StatePublished - 2022
Externally publishedYes

Publication series

NameIEEE International Conference on Communications
Volume2022-May
ISSN (Print)1550-3607

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

  • TDD
  • correlated Rician fading
  • finite resolution ADCs/DACs
  • scalable cell-free massive MIMO

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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