Particle Swarm Optimization for Mobility Load Balancing SON in LTE Networks

被引：0

作者：

Altman, Zwi ^{[1
]}

Sallem, Soumaya ^{[2
]}

Nasri, Ridha ^{[1
]}

Sayrac, Berna ^{[1
]}

Clerc, Maurice

机构：

[1] Orange Labs, 38 Rue Gen Leclerc, F-92794 Issy Les Moulineaux, France

[2] CEA Saclay, F-91191 Gif Sur Yvette, France

来源：

2014 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE WORKSHOPS (WCNCW) | 2014年

关键词：

Mobility Load Balancing; SON; Self-Organizing Networks; handover margin; LTE; Particle Swarm Optimization;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents a self-optimizing solution for Mobility Load Balancing (MLB). The MLB-SON is performed in two phases. In the first, a MLB controller is designed using Multi-Objective Particle Swarm Optimization (MO-PSO) which incorporates a priori expert knowledge to considerably reduce the search space and optimization time. The dynamicity of the optimization phase is addressed. In the second phase, the controller is pushed into the base stations to implement the MLB SON. The method is applied to dynamically adapt Handover Margin parameters of a large scale LTE network in order to balance traffic of the network eNodeBs. Numerical results illustrate the benefits of the proposed solution.

引用

页码：172 / +

页数：2

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