基于免疫计算的 TD-SCDMA 网络基站选址优化

摘要

To reduce the cost of TD-SCDMA network construction, a solution of base station location planning problem based on immune computing was proposed.The difficulties of TD-SCDMA base station construction and the principle of location planning were expound, clonal multiplication operator, clonal mutation and clonal selection operator with real-number encoding were designed, the framework of immune memory clonal algorithm for base station location planning problem was given, and simulation experiments were done to validate the proposed algorithm.Experimental result shows that the proposed solution can obtain higher network coverage rate with lower cost of network construction relatively, and has the advantage of good application value.%为了降低 TD-SCDMA 网络基站建设代价,给出了一种基于免疫计算的基站选址优化方案.介绍了TD-SCDMA 基站建设的困难及基站选址原则,设计了基于实数编码的克隆增殖算子、克隆变异算子及克隆选择算子,给出了求解基站选址优化问题的免疫记忆克隆算法框架,并与文献中的算法进行了对比实验.实验结果表明,该算法获得的基站部署方案能以相对较低的基站建设总代价获得较高的网络覆盖率,具有较好的应用价值.