DocumentCode :
2019937
Title :
Self-organization in wireless networks: A flow-level perspective
Author :
Combes, Richard ; Altman, Zwi ; Altman, Eitan
Author_Institution :
Orange Labs., Issy-les-Moulineaux, France
fYear :
2012
fDate :
25-30 March 2012
Firstpage :
2946
Lastpage :
2950
Abstract :
This paper introduces self-optimization for wireless networks taking into account flow-level dynamics. Users arrive and leave the network according to a traffic model. Elastic traffic is considered here. The developed solutions self-optimize the network stability region using user feedback (measurements). The use case considered is cell size optimization. An algorithm is given, and its convergence is proven using stochastic approximation techniques. Convergence points are characterized, allowing performance gains to be evaluated rigorously. Performance gains are evaluated numerically, showing an important increase of the network capacity.
Keywords :
radio networks; stochastic processes; telecommunication traffic; cell size optimization; elastic traffic; flow-level dynamics; network capacity; network stability region; self-optimization; self-organizing networks; stochastic approximation technique; traffic model; user feedback; wireless networks; Approximation algorithms; Heuristic algorithms; Optimization; Performance gain; Stability analysis; Stochastic processes; Wireless networks; Cellular Networks; Load Balancing; Queuing Theory; SON; Self Optimization; Self Organizing Networks; Stability; Stochastic Approximation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
INFOCOM, 2012 Proceedings IEEE
Conference_Location :
Orlando, FL
ISSN :
0743-166X
Print_ISBN :
978-1-4673-0773-4
Type :
conf
DOI :
10.1109/INFCOM.2012.6195735
Filename :
6195735
Link To Document :
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