Abstract: One of the most important targets in the radio networks planning based on TD-SCDMA standard is obtaining a satisfying networks quality. On the basis of Genetic Algorithm(GA), an improved GA is proposed based on PCCPCH RSCP coverage and PCCPCH C/I coverage. It uses binary matrix coding which meets network multi-cell and multi-parameter. For getting a rapid convergence, a special crossover method named patch-crossover is posted. Scaling function is applied to the fitness function to avoid local convergence. Experimental result shows the outstanding performance of this optimization algorithm, the PCCPCH RSCP coverage ratio and PCCPCH C/I coverage ratio increase in different degree.

Key words: TD-SCDMA standard, Genetic Algorithm(GA), radio networks plan

摘要： 获得满意的覆盖是TD-SCDMA标准网络规划的重点，为此，在遗传算法的基础上提出基于PCCPCH RSCP覆盖和PCCPCH C/I覆盖的改进遗传算法。采用符合网络多扇区多参数性质的二进制矩阵式编码，为加快收敛速度，给出基于块的交叉方法，同时为防止过早的局部收敛，对适应度函数进行尺度变换。实验结果表明，该算法可以快速收敛到目标解，PCCPCH RSCP覆盖比例和PCCPCH C/I覆盖比例均有不同程度的提升。

关键词: TD-SCDMA标准, 遗传算法, 无线网络规划

CLC Number: 

• TP18