An autonomic joint radio resource management algorithm in end-to-end reconfigurable system

• 作 者: 林粤伟 Le Vanbien Xue Yuan Feng Z
• 机 构: KeyLaboratoryofUniversalWirelessCommunications
• 出 处: 高技术通讯：英文版
• 发表日期: 2008年3期
• 关键词: 无线通信系统 联合无线资源管理 强化学习 异质网络 joint radio resource management reinforcement learnin
• 基金项目: Supported by the National Natural Science Foundation of China （No, 60632030） and the National High Technology Research and Development Progran of Chitin （No. 2006AA01Z276）.

<正> This paper presents the multi-step Q-learning(MQL)algorithm as an autonomic approach to thejoint radio resource management(JRRM)among heterogeneous radio access technologies(RATs)in theB3G environment.Through the'trial-and-error'on-line