Fronthaul compression for cloud radio access networks: Signal processing advances inspired by network information theory

Seok Hwan Park, Osvaldo Simeone, Onur Sahin, Shlomo Shamai Shitz

Research output: Contribution to journalArticlepeer-review

142 Scopus citations

Abstract

Cloud radio access networks (C-RANs) provide a novel architecture for next-generation wireless cellular systems whereby the baseband processing is migrated from the base stations (BSs) to a control unit (CU) in the ?cloud.? The BSs, which operate as radio units (RUs), are connected via fronthaul links to the managing CU. The fronthaul links carry information about the baseband signals?in the uplink from the RUs to the CU and vice versa in the downlink?in the form of quantized in-phase and quadrature (IQ) samples. Due to the large bit rate produced by the quantized IQ signals, compression prior to transmission on the fronthaul links is deemed to be of critical importance and is receiving considerable attention. This article provides a survey of the work in this area with emphasis on advanced signal processing solutions based on network information theoretic concepts. Analysis and numerical results illustrate the considerable performance gains to be expected for standard cellular models.

Original languageEnglish (US)
Article number6924850
Pages (from-to)69-79
Number of pages11
JournalIEEE Signal Processing Magazine
Volume31
Issue number6
DOIs
StatePublished - Nov 2014

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics

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