DocumentCode :
3531590
Title :
Architecture of GPP based, scalable, large-scale C-RAN BBU pool
Author :
Li Guangjie ; Zhang Senjie ; Yang Xuebin ; Liao Fanglan ; Ngai Tin-fook ; Zhang, Shaoting ; Kuilin Chen
Author_Institution :
Intel Lab. China, Beijing, China
fYear :
2012
fDate :
3-7 Dec. 2012
Firstpage :
267
Lastpage :
272
Abstract :
The concept of C-RAN is attractive for both academic and industry to bring innovative ideas for advanced wireless processing and reduce cost directly in mobile infrastructure. C-RAN could be one of direction of future mobile infrastructure, however, to achieve the goal of C-RAN is quite challenging, since it´s domain specific cloud computing technology, in which real-time processing and huge amount of antenna data make it more difficult than traditional cloud computing. In the paper, together with the load analysis of C-RAN, one of GPP (e.g. x86) based C-RAN architecture is proposed targeted to scalable, large-scale BBU pool. The design philosophy is to efficiently reduce computation cost and power consumption by allocating computation/switch resource fitting the traffic need.
Keywords :
3G mobile communication; antennas; cloud computing; cost reduction; mobile computing; resource allocation; telecommunication traffic; GPP architecture; antenna data amount; cloud computing technology; computation-switch resource fitting allocation; cost computation reduction; large-scale C-RAN BBU pool; load analysis; mobile infrastructure; power consumption; real-time processing; wireless processing; Conferences; Finite element methods; Frequency modulation; IP networks; Integrated circuits; Iron; BBU pool; Baseband; C-RAN; CoMP; GPP; Joint processing; LTE; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Globecom Workshops (GC Wkshps), 2012 IEEE
Conference_Location :
Anaheim, CA
Print_ISBN :
978-1-4673-4942-0
Electronic_ISBN :
978-1-4673-4940-6
Type :
conf
DOI :
10.1109/GLOCOMW.2012.6477581
Filename :
6477581
Link To Document :
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