遗传算法在优化CDMA功率配置中的应用

针对CDMA网络规划中的功率参数经验配置法存在的盲目性,提出一种将CDMA覆盖分析与遗传算法相结合的最优化算法.该算法将所有基站最大发射功率表示为实数编码染色体,以反映网络规划质量的覆盖率、切换率和成本三项关键指标的加权求和作为目标函数.CDMA覆盖分析用于仿真得到规划方案的关键指标以及图形结果.经过对一个规划方案实例的参数优化,得到遗传算法的目标值收敛曲线以及多种CDMA仿真图形结果,说明本算法能够有效优化网络规划的功率配置方案.

Genetic Algorithm for the Optimal Power Configuration in CDMA

In view of the unsatisfactory quality of manually configured power of base station in CDMA network planning, an optimization algorithm that automatically determines the optimal power configuration of base station using genetic approach is presented in this paper. Real-valued multi-individual chromosome is used to represent the transmission powers of all base stations. A weighted objective function is designed for the purpose of performing the cell planning effectively according to coverage ratio, handoff ratio and cost drawn from the forward coverage analysis of the CDMA system. The convergent curves of objective value and graphical results from a practical planning project prove that the algorithm enables to find a near optimal transmit power configuration scheme for base station.