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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.
Based on the network quality indexes such as coverage, soft handover rate, traffic channel congestion rate and power loss, a mathematical model of multi-service CDMA network parameter optimization problem is established.By analyzing the characteristics of the model, a genetic algorithm based on constraint optimization Algorithm (COGA), and presents various key technologies for the implementation of the algorithm.Experimental research on an actual example shows that the algorithm can effectively configure various network parameters, and the network performance is improved, which is better than the actual DT (driver test), which shows that the proposed model and algorithm can provide a quick solution to the parameter optimization of multi-service CDMA network and effectively guide the actual network management.