Precode and quantize channel state information sharing for cloud radio access networks

Niv Arad, Yair Noam

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

1 Scopus citations

Abstract

Joint transmission by a cluster of smart remote radio heads is an important technique for enhancing network throughout in future cellular networks. This transmission requires global channel state information at the processing unit which optimizes the joint precoder. To this end, a large amount of channel state information must be shared between the smart remote radio heads and that unit. In this paper, we present a new channel state information sharing scheme, which drastically reduces the large overhead in acquiring global channel state information for joint transmission. The idea is that each smart remote radio head applies a local precoding matrix, whose objective is to create equivalent channels which can be quantized more accurately with fewer bits, thereby to reduce the overhead of sharing channel state information. The proposed scheme facilitate joint transmission in a cluster in which the smart remote radio heads are interconnected by limited-rate link.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Communications, ICC 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers
ISBN (Print)9781538631805
DOIs
StatePublished - 27 Jul 2018
Externally publishedYes
Event2018 IEEE International Conference on Communications, ICC 2018 - Kansas City, United States
Duration: 20 May 201824 May 2018

Publication series

NameIEEE International Conference on Communications
Volume2018-May
ISSN (Print)1550-3607

Conference

Conference2018 IEEE International Conference on Communications, ICC 2018
Country/TerritoryUnited States
CityKansas City
Period20/05/1824/05/18

Keywords

  • 5G
  • Broadcast channel
  • Cloud radio access network
  • Finite rate feedback
  • Joint processing
  • Multiple-input multipleoutput (MIMO)
  • Multipoint cooperation
  • Zero-forcing beamforming

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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