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Self‐organizing femtocell offloading at the flow level
Author(s) -
Akbarzadeh Sara,
Combes Richard,
Altman Zwi
Publication year - 2013
Publication title -
international journal of network management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.373
H-Index - 28
eISSN - 1099-1190
pISSN - 1055-7148
DOI - 10.1002/nem.1832
Subject(s) - femtocell , macrocell , computer science , self organizing network , simple (philosophy) , convergence (economics) , queueing theory , distributed computing , queue , heterogeneous network , cellular network , computer network , scheme (mathematics) , wireless network , wireless , telecommunications , philosophy , mathematical analysis , epistemology , economics , economic growth , mathematics , base station
SUMMARY Femtocell technology is expected to be fully self‐managed, empowered by self‐organizing network functionalities. This paper proposes a solution for self‐optimized offloading of macrocell traffic towards open/hybrid‐access femtocells. A heterogeneous network comprising macro‐ and femtocells is modeled as parallel queues. The coverage area of the femtocells is self‐optimized by dynamically adapting their pilot powers. A simple update equation for the pilot power is given and its convergence is studied using stochastic approximation techniques. The algorithm balances the load among the cells to improve network capacity. Simulation results illustrate the important performance gains brought about by the proposed scheme, using a dynamic network simulator. Copyright © 2013 John Wiley & Sons, Ltd.