移动通信中基于神经网络的信道分配方案及算法

NEURAL NETWORK BASED CHANNEL ASSIGNMENT STRATEGY AND ALGORITHM IN MOBILE COMMUNICATION

针对小区制蜂窝系统在信道共用情况下，提出一种利用神经网络实现信道分配（ＦＣＡ）的方案算法及其优化．该算法与图形着色法（ＧＣＡ）相比，大大提高了收敛速度；对比传统的Ｈｏｐｆｉｅｌｄ网络，更易克服网络的振荡行为．

In this paper a neural network based channel assignment algorithm is proposed to realize and optimalize the fixed channel assignment(FCA).In comparison with GCA Algorithm,this algorithm has a faster convergence rate.It is much more easier to overcome oscillation than the Hopfield network.