Cooperative Access Networks: Optimum Fronthaul Quantization in Distributed Massive MIMO and Cloud RAN - Invited Paper

Alister Burr, Manijeh Bashar, Dick Maryopi

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

Abstract

We consider cooperative radio access network architectures, especially distributed massive MIMO and Cloud RAN, considering their similarities and differences. We address in particular the major challenge posed to both by the implementation of a high capacity fronthaul network to link the distributed access points to the central processing unit, and consider the effect on uplink performance of quantization of received signals in order to limit fronthaul load. We use the Bussgang decomposition along with a new approach to MMSE estimation of both channel and data to provide the basis of our analysis.

Original languageEnglish
Title of host publication2018 IEEE 87th Vehicular Technology Conference, VTC Spring 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-5
Number of pages5
ISBN (Electronic)9781538663554
DOIs
Publication statusPublished - 20 Jul 2018
Event87th IEEE Vehicular Technology Conference, VTC Spring 2018 - Porto, Portugal
Duration: 3 Jun 20186 Jun 2018

Publication series

NameIEEE Vehicular Technology Conference
Volume2018-June
ISSN (Print)1550-2252

Conference

Conference87th IEEE Vehicular Technology Conference, VTC Spring 2018
Country/TerritoryPortugal
CityPorto
Period3/06/186/06/18

Bibliographical note

Funding Information:
The work described in this paper was supported in part by UK EPSRC under grant EP/K040006, and in part by the European Commission under the MSCA-ITN programme, contract no. 675806 “5G-AURA”

Publisher Copyright:
© 2018 IEEE.

Keywords

  • "cell-free"
  • Bussgang decomposition
  • Cloud RAN
  • Distributed massive MIMO
  • fronthaul load
  • quantization

Cite this