DocumentCode :
645411
Title :
RB allocation based on genetic algorithm and coordination over the X2 interface in the LTE uplink
Author :
Essassi, Safa ; Cherif, Sofiane ; Siala, Mohamed
Author_Institution :
Engineering school of Telecommunications of Tunis (Sup´Com), University of Carthage, Tunisia
fYear :
2013
fDate :
8-11 Sept. 2013
Firstpage :
2424
Lastpage :
2428
Abstract :
The universal frequency reuse has been targeted for the Long Term Evolution. It leads to a harmful inter-cell interference experienced notably by the cell-edge users. The uplink inter-cell interference coordination becomes among the most important challenges. Throughout literature, many techniques were proposed to overcome this issue. Among these techniques, the soft frequency reuse concept grasped many attentions. Certainly, it succeeded in reducing the interference for edge-cell users by prohibiting the allocation of the same RB to two users in adjacent cells-edge. However, it presents several drawbacks in terms of spectral efficiency and overloaded cell-edge users. The most proposed approaches are based on this scheme. In this context, this study introduces a novel strategy that will avoid these shortcomings. Our idea aims to optimize the resource block allocation by using the genetic algorithm approach and maximizing channel capacity. We exploit information exchanged over the X2 interface. Simulation results show the effectiveness of our proposed approach.
Keywords :
Biological cells; Genetic algorithms; Interference; Long Term Evolution; Resource management; Sociology; Statistics; Genetic Algorithm (GA); Inter-Cell Interference Coordination (ICIC); Resource Block (RB); X2 interface;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Personal Indoor and Mobile Radio Communications (PIMRC), 2013 IEEE 24th International Symposium on
Conference_Location :
London, United Kingdom
ISSN :
2166-9570
Type :
conf
DOI :
10.1109/PIMRC.2013.6666552
Filename :
6666552
Link To Document :
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