基于情景感知的自组织网络SON的协同优化管理

Cooperative Optimization Management Scheme of Self-organized Network(SON) Based on Context-aware

针对LTE网络中的SON功能用例的协同管理问题,基于网络状态信息、关键技术指标(Key Performance Indicators,KPI)等情景信息,设计了一种LTE网络中的多个自组织网络(Self-Organized Network,SON)协同管理机制。结合强化学习理论,提出了一种SON用例间协同优化管理算法。以移动负载均衡用例(Mobility Load Balancing,SON1)和移动鲁棒性优化用例(Mobility Robustness Optimization,SON2)为例,进行移动负载均衡和移动鲁棒性优化和两SON用例间的协同优化,从而在已知情景信息的前提下,实现网络性能稳定提升。仿真结果表明,该算法可以有效地实现负载均衡并提升网络稳定性,同时提升网络吞吐量。

In view of the coordination management problem in SON, this paper designs a cooperative optimization mechanism of SON in LTE network based on such context information as network state,key performance indicators,etc.A novel algorithm is designed to realize the cooperative optimization management between the SON cases with the aid of reinforcement learning theory. Taking the Mobility Load Balancing （MLB, used as SON1） and Mobility Robustness Optimization （MRO,used as SON2） as two cases, the cooperative optimization is realized between two SON1 and SON2 in LTE networks in order to promote the stability of network performance based on known information. The simulation results show this algorithm can effectively implement load balancing and promote network stability, and improve the throughput of network.