DocumentCode :
3531632
Title :
Automated healing approach in cloud base-station with high load using RRUs cooperation
Author :
Li He ; Xin Su ; Jie Zeng ; Xibin Xu ; Yujun Kuang
Author_Institution :
Univ. of Electron. Sci. & Technol. of China (UESTC), Chengdu, China
fYear :
2012
fDate :
3-7 Dec. 2012
Firstpage :
285
Lastpage :
290
Abstract :
The cloud base-station realizes base station baseband unit (BBU) centralized on a universal cloud computing platform and connected the remote radio units (RRUs) with fiber. Automated healing of the cloud base-station applies to detect and compensate the outage RRU automatically by the adjacent RRUs cooperation. It aims at providing temporary alleviation of coverage, capacity and service quality caused by the outage. This paper proposes an automated healing with the RRUs cooperation compensation (AHCC) approach which adjusts antenna downtilt angles of the adjacent RRUs to expand the coverage after the outage detection. The approach is an objective increment method and online iterative process. Numerical results show that it can achieve remarkable performance recovery as well as fast convergence.
Keywords :
cloud computing; cooperative communication; iterative methods; mobile computing; mobile radio; quality of service; AHCC approach; BBU; RRU cooperation; automated healing approach; base station baseband unit; cloud base-station; fiber; objective increment method; online iterative process; remote radio units; service quality; universal cloud computing platform; Antennas; Baseband; Cloud computing; Interference; Optical fiber communication; Signal to noise ratio; Antenna downtilt angle; automated healing; cloud base-station; cooperation;
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.2012.6477584
Filename :
6477584
Link To Document :
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