DocumentCode
586091
Title
A High-Efficient Algorithm of Mobile Load Balancing in LTE System
Author
Yang, Ying ; Li, Pengfei ; Chen, Xiaohui ; Wang, Weidong
Author_Institution
Univ. of Sci. & Technol. of China, Hefei, China
fYear
2012
fDate
3-6 Sept. 2012
Firstpage
1
Lastpage
5
Abstract
Mobility Load balance(MLB) is an key technology belonging to self-organization networks(SONs) in Long Term Evolution (LTE) system. In the paper, a high-efficient algorithm is proposed to balance the uneven load between neighboring cells in LTE system. The algorithm adjusts the cell-specific offset between neighboring cells (OCN) adaptively depending on the load difference between neighboring cells. If the load difference exceeds the presetting threshold, then the algorithm will be triggered and adjust the OCN by adding or subtracting an adaptive step-size. Also, a power function is proposed to characterize the adaptive step-size and the step-size will be larger as the load difference between neighboring cells increases. This feature of the power function makes the MLB algorithm more efficient to fit the largely uneven load between neighboring cells. Furthermore, a simulation platform with 7 cell is set to evaluate the algorithm with different power of the function. It demonstrates that the adaptive algorithm can get the lower call blocking rates and handover failure rates because of its high-efficiency in load balancing. It also shows with the small appropriate power, we can get better system performances.
Keywords
Long Term Evolution; failure analysis; resource allocation; telecommunication network reliability; LTE system; Long Term Evolution system; MLB algorithm; OCN; adaptive step-size; call blocking rates; cell-specific offset; handover failure rates; high-efficient algorithm; mobile load balancing; neighboring cells; power function; self-organization networks; Adaptation models; Internet telephony; Load management; Load modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
Vehicular Technology Conference (VTC Fall), 2012 IEEE
Conference_Location
Quebec City, QC
ISSN
1090-3038
Print_ISBN
978-1-4673-1880-8
Electronic_ISBN
1090-3038
Type
conf
DOI
10.1109/VTCFall.2012.6398873
Filename
6398873
Link To Document