在考虑覆盖率、软切换率、业务信道拥塞率和功率损耗等网络质量指标的基础上,建立多业务CDMA网络参数优化问题的数学模型.通过分析模型的特点,设计了一种基于约束优化遗传算法(COGA)的求解方法,并给出了算法实现的各种关键技术.对一个实际算例进行实验研究,仿真结果表明算法能够有效地配置各种网络参数,网络性能得到提升,优于实际DT(driver test)的优化效果,从而表明所建模型和算法能够为多业务CDMA网络参数优化问题提供快速的解决方案,有效地指导实际的网络管理工作.
A mathematical model is proposed for the parameter optimization problem in the multi-service CDMA network considering some network quality indices, such as the coverage rate, soft switching rate, service channel congestion rate, power consumption and so on. Through analyzing the characters of the proposed model, a constraint optimization genetic algorithm (COGA) is then designed and COGA's key technologies are given. Finally, the simulation results on a practical ex- ample show that the designed algorithm can achieve more effective configuration of network parameter than the practical DT (driver test) management does, which indicates that the proposed model and algorithm can address the parameter optimization problem in the multi-service CDMA network and then effectively guide the work of the practical CDMA management.