DocumentCode :
110990
Title :
Fronthaul Compression for Cloud Radio Access Networks: Signal processing advances inspired by network information theory
Author :
Seok-Hwan Park ; Simeone, Osvaldo ; Sahin, Ozge ; Shamai Shitz, Shlomo
Author_Institution :
Dept. of Electr. Eng., New Jersey Inst. of Technol., Newark, NJ, USA
Volume :
31
Issue :
6
fYear :
2014
fDate :
Nov. 2014
Firstpage :
69
Lastpage :
79
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.
Keywords :
cloud computing; next generation networks; radio access networks; signal processing; C-RAN; base stations; baseband processing; cloud radio access networks; control unit; fronthaul compression; fronthaul links; next-generation wireless cellular systems; quadrature samples; quantized in-phase; radio units; signal processing advances; 5G mobile communication; Base stations; Baseband; Cellular networks; Cloud computing; Next generation networking; Process control; Radio access networks; Uplink; Wireless cellular networks; Wireless communication;
fLanguage :
English
Journal_Title :
Signal Processing Magazine, IEEE
Publisher :
ieee
ISSN :
1053-5888
Type :
jour
DOI :
10.1109/MSP.2014.2330031
Filename :
6924850
Link To Document :
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