Cell-Free Massive MIMO with Limited Backhaul

Manijeh Bashar, Kanapathippillai Cumanan, Alister G. Burr, Hien Quoc Ngo, Merouane Debbah

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

80 Citations (Scopus)


We consider a cell-free Massive multiple-input multiple-output (MIMO) system and investigate the system performance for the case when the quantized version of the estimated channel and the quantized received signal are available at the central processing unit (CPU), and the case when only the quantized version of the combined signal with maximum ratio combining (MRC) detector is available at the CPU. Next, we study the max-min optimization problem, where the minimum user uplink rate is maximized with backhaul capacity constraints. To deal with the max-min non-convex problem, we propose to decompose the original problem into two sub-problems. Based on these sub- problems, we develop an iterative scheme which solves the original max-min user uplink rate. Moreover, we present a user assignment algorithm to further improve the performance of cell-free Massive MIMO with limited backhaul links.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Communications (ICC 2018): Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages7
ISBN (Print)9781538631805
Publication statusPublished - 31 Jul 2018
EventIEEE International Conference on Communications 2018 - Kansas, United States
Duration: 20 May 201824 May 2018

Publication series

NameIEEE International Conference on Communications (ICC): Proceedings
ISSN (Electronic)1938-1883


ConferenceIEEE International Conference on Communications 2018
Abbreviated titleIEEE ICC 2018
Country/TerritoryUnited States
Internet address


  • Cell-free Massive MIMO
  • Generalized eigenvalue problem
  • Geometric programming
  • Limited backhaul

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering


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