DocumentCode :
67423
Title :
Distributed Coordination of Self-Organizing Mechanisms in Communication Networks
Author :
TALL, Abdoulaye ; Combes, Richard ; Altman, Zwi ; Altman, Eitan
Author_Institution :
Orange Labs., Issy-les-Moulineaux, France
Volume :
1
Issue :
4
fYear :
2014
fDate :
Dec. 2014
Firstpage :
328
Lastpage :
337
Abstract :
The fast development of the self-organizing networks (SON) technology in mobile networks renders critical the problem of coordinating SON functionalities operating simultaneously. SON functionalities can be viewed as control loops that may need to be coordinated to guarantee conflict-free operation, to enforce stability of the network, and to achieve performance gain. This paper proposes a distributed solution for coordinating SON functionalities. It uses Rosen´s concave games framework in conjunction with convex optimization. The SON functionalities are modeled as linear ordinary differential equations. The stability of the system is first evaluated using a basic control theory approach. The coordination solution consists in finding a linear map (called coordination matrix) that stabilizes the system of SON functionalities. It is proven that the solution remains valid in a noisy environment using stochastic approximation. A practical example involving three different SON functionalities deployed in base stations of a long-term evolution network demonstrates the usefulness of the proposed method.
Keywords :
game theory; linear differential equations; mobile communication; optimisation; radiofrequency interference; stochastic processes; telecommunication control; Rosen´s concave games; SON functionalities; SON technology; communication networks; control loops; control theory; convex optimization; coordination matrix; distributed coordination; linear map; linear ordinary differential equations; mobile networks; noisy environment; self-organizing mechanisms; self-organizing networks; stochastic approximation; Approximation methods; Asymptotic stability; Jacobian matrices; Self-organizing networks; Stochastic processes; Concave games; self-organizing networks (SONs); self-organizing networks (SONs) coordination; stochastic approximation;
fLanguage :
English
Journal_Title :
Control of Network Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
2325-5870
Type :
jour
DOI :
10.1109/TCNS.2014.2357511
Filename :
6898005
Link To Document :
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