DocumentCode :
138532
Title :
Performance evaluation of multiterminal backhaul compression for cloud radio access networks
Author :
Seok-Hwan Park ; Simeone, Osvaldo ; Sahin, Ozge ; Shamai, Shlomo
Author_Institution :
CWCSPR, New Jersey Inst. of Technol., Newark, NJ, USA
fYear :
2014
fDate :
19-21 March 2014
Firstpage :
1
Lastpage :
6
Abstract :
In cloud radio access networks (C-RANs), the baseband processing of the available macro- or pico/femto-base stations (BSs) is migrated to control units, each of which manages a subset of BS antennas. The centralized information processing at the control units enables effective interference management. The main roadblock to the implementation of C-RANs hinges on the effective integration of the radio units, i.e., the BSs, with the backhaul network. This work first reviews in a unified way recent results on the application of advanced multiterminal, as opposed to standard point-to-point, backhaul compression techniques. The gains provided by multiterminal backhaul compression are then confirmed via extensive simulations based on standard cellular models. As an example, it is observed that multiterminal compression strategies provide performance gains of more than 60% for both the uplink and the downlink in terms of the celledge throughput.
Keywords :
antennas; femtocellular radio; mobility management (mobile radio); performance evaluation; picocellular radio; radio access networks; radiofrequency interference; BS antenna management; C-RAN; baseband processing; cell-edge throughput; centralized information processing; cloud radio access network; interference management; macrobase station; multiterminal backhaul compression; performance evaluation; picofemtobase station; radio unit integration; standard cellular model; standard point-to-point backhaul compression technique; Antennas; NIST; Radio frequency; Uplink; Cloud radio access network; multiterminal backhaul compression; proportional fairness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Sciences and Systems (CISS), 2014 48th Annual Conference on
Conference_Location :
Princeton, NJ
Type :
conf
DOI :
10.1109/CISS.2014.6814068
Filename :
6814068
Link To Document :
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