WCDMA Downlink Load Sharing with Dynamic Control of Soft Handover Parameters
作者： R. Nasri , Z. Altman , H. Dubreil , Z. Nouir
DOI: 10.1109/VETECS.2006.1682963
关键词: Real-time computing 、 Network management 、 Base station 、 Fuzzy logic 、 Reinforcement learning 、 Fuzzy control system 、 Control theory 、 Soft handover 、 Engineering 、 Broadband networks
摘要: In this article, we address the problem of auto-tuning soft handover (SHO) parameters in WCDMA networks. The process uses a fuzzy Q-learning controller to adapt SHO varying network situations such as traffic fluctuation. combines both logic theory and reinforcement learning method. cooperation these two mechanisms simplifies task online optimization rules consequently leads better parameterization each base station network. proposed scheme improves system capacity compared classical with fixed parameters, balances load between stations minimizes human intervention management tasks.
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