Control-data separation in cloud RAN: The case of uplink HARQ

Shahrouz Khalili, Osvaldo Simeone

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

1 Scopus citations

Abstract

The performance of uplink HARQ in a Cloud-Radio Access Network (C-RAN) architecture is limited by the two-way latency on the fronthaul links connecting the Remote Radio Heads (RRHs) with the Baseband Unit (BBU) that performs decoding. In order to alleviate this problem, this work considers an alternative architecture based on the separation of control and data planes, in which the control plane is implemented at the edge, namely at the RRHs and at the User Equipments (UEs), while data decoding is still carried out remotely at the BBU as in a conventional C-RAN. More specifically, the RRHs perform local uplink channel estimation and feed back low-rate information to the UEs, which then make low-latency local retransmission decisions. Retransmission control is hence not subject to the fronthaul latency constraints. "Hard" and "soft" local feedback schemes are presented. The analysis, which is based on finite-blocklength bounds, allows the optimization of the considered schemes, as well as the investigation of the impact of system parameters such as blocklength and number of feedback bits on the performance of the proposed architecture.

Original languageEnglish (US)
Title of host publication2016 Information Theory and Applications Workshop, ITA 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509025299
DOIs
StatePublished - Mar 27 2017
Event2016 Information Theory and Applications Workshop, ITA 2016 - La Jolla, United States
Duration: Jan 31 2016Feb 5 2016

Publication series

Name2016 Information Theory and Applications Workshop, ITA 2016

Other

Other2016 Information Theory and Applications Workshop, ITA 2016
Country/TerritoryUnited States
CityLa Jolla
Period1/31/162/5/16

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Artificial Intelligence
  • Information Systems
  • Signal Processing

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