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