下一代蜂窝网络中家庭基站导频功率的智能优化

Intelligent optimization techniques for femtocell pilot power in next-generation cellular network

为了解决下一代蜂窝网络家庭基站导频功率分配问题,给出了一个基于免疫记忆克隆算法的家庭基站导频功率优化方案。设计了家庭基站导频功率优化问题的数学模型,给出了免疫记忆克隆算法框架,并通过仿真实验对本文方案进行了验证。实验结果表明:本文方案基于网络拓扑结构和传播流量分布,能够有效地对家庭基站的导频功率和毫微微小区半径进行优化配置,具有较好的应用价值。

To solve the femtocell pilot power allocation problem in next-generation cellular network,a novel optimization solution for femtocell pilot power based on immune memory clone algorithm is propose.The mathematical model of the femtocell pilot power allocation problem is established.The framework of the immune memory clone algorithm is given.Simulation experiments results show that,based on the network topology and communication flow distribution,the proposed optimization solution can effectively optimize femtocell pilot power allocation and femtocell radius,and it can be applied to solve real engineering problems.