基于扫频数据的TD-SCDMA频率及扰码规划研究

发布时间：2018-07-03 00:48

本文选题：TD-SCDMA + 频率　；参考：《北京邮电大学》2013年硕士论文

【摘要】：TD-SCDMA系统是由中国第一个提出的、具有自主知识产权的第三代移动通信系统。根据中国移动公布的2012年前三季度主要运营数据,截至2012年9月30日,中国移动TD-SCDMA用户数达7560万户,占中国3G市场的37%。从2007年开始试商用至今,TD-SCDMA已经进行到了第五期工程建设,截至2012年4月底,中国移动部署的TD-SCDMA基站已经达到了22.8万个,并且计划到2014年实现40万个基站部署。在用户数和各项业务量快速增长的同时,网络容量和质量问题变得越来越突出,而这些问题的解决很大程度上要依赖于网络合理而有效的频率及扰码规划。本文基于实验室的TD-SCDMA系统扰码规划研究项目以及本人在中国移动设计院实习一年期间所参与的TD-SCDMA变频变扰码项目,主要研究了TD-SCDMA系统的频率及扰码规划方法,针对传统规划方法的缺陷,详细分析了基于扫频数据和遗传算法的频率及扰码规划方法,从对复化复合码的相关性分析出发,结合现网数据和信道分配规律,充分考虑了不同时延下的扰码相关性和信道化码使用概率,构建小区同频干扰矩阵和扰码相关性矩阵,给出了总的频率优化代价函数和总的扰码优化代价函数,为了使全网的干扰值降到最低,利用遗传算法对适应度函数不断地进行迭代运算,最终输出符合收敛条件的最优解,即为最优的频率和扰码规划方案。为了验证该方法的可靠性,本文以实际规划项目为案例,给出了现网规划的具体流程,对割接前后的DT路测指标和网管系统的OMC指标做了详细对比,分析结果表明,规划后的网络性能得到了很大改善。
[Abstract]:TD-SCDMA system is the third generation mobile communication system with independent intellectual property proposed by China. As of Sept. 30, 2012, China Mobile had 75.6 million TD-SCDMA subscribers, accounting for 37 percent of China's 3G market, according to China Mobile's main operating data for the first three quarters of 2012. Since 2007, TD-SCDMA has been in the fifth phase of construction. By the end of April 2012, China Mobile has deployed 228,000 TD-SCDMA base stations, and plans to deploy 400000 base stations by 2014. With the rapid growth of the number of users and various traffic, the network capacity and quality problems become more and more prominent. To a large extent, the solution of these problems depends on the reasonable and effective frequency and scrambling code planning. Based on the research project of TD-SCDMA system scrambling code planning in the laboratory and the TD-SCDMA variable frequency scrambling code project which I participated in during my internship in China Mobile Design Institute for one year, this paper mainly studies the frequency and scrambling code planning method of TD-SCDMA system. Aiming at the defects of the traditional planning method, the frequency and scrambling code planning method based on sweeping frequency data and genetic algorithm is analyzed in detail. Based on the correlation analysis of complex codes, combined with the existing network data and channel allocation law, Considering the correlation of scrambling code and the probability of channelization, the interference matrix and correlation matrix are constructed, and the total frequency optimization cost function and the total scrambling code optimization cost function are given. In order to minimize the interference value of the whole network, the fitness function is iterated continuously by genetic algorithm, and the optimal solution that meets the convergence condition is finally output, that is, the optimal frequency and scrambling code planning scheme. In order to verify the reliability of the method, this paper takes the actual planning project as an example, gives the concrete flow of the current network planning, and makes a detailed comparison between the DT road test index before and after cutting and the OMC index of the network management system. The analysis results show that, The planned network performance has been greatly improved.
【学位授予单位】：北京邮电大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：TN929.5

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