基于射线跟踪模型的3G网络规划网络优化关键技术研究

发布时间：2018-12-27 17:17

【摘要】：移动通信技术发展日新月异,人们在享受3G网络带来的便捷的同时,也察觉到了 3G网络的弊端,如某些区域3G信号不强或者存在干扰等,这都会严重影响用户的3G体验。目前国内各大通信运营商对基站站点规划与工程参数设置主要采用的是工程师的主观判断、现网试错、复测验证的模式,这种模式在后期需要大量的优化调整工作,而优化调整工作主要依靠人工经验多次尝试,缺乏精确性;在网络覆盖评估方面,采用传统的经验型方式进行覆盖优化,这种手段无法准确定位问题,需要进行大量路测来对通信网络进行评估,并且对网络性能排查大部分都是被动触发,事后检查。本文设计开发了一个网络规划网络优化系统,该系统基于射线跟踪模型对复杂室内以及城区环境下基站天线功率覆盖分析预测,从而真实准确地获得基站天线的覆盖范围,该系统克服了以往利用经验模型进行基站天线覆盖范围预测准确性差的缺点,从而为后续的邻区规划和频点规划的准确性提供有效保证。在邻区规划方面,本文提出一种基于天线功率覆盖结果的邻区列表解算算法,该算法能够准确有效地为不同覆盖范围的基站天线解算出其邻区列表,从而解决了现有邻区规划方案准确性不够以及引起的功率消耗过大问题,通过福建移动提供的三明地区的实测数据验证了该算法的准确性与可行性。在频点规划方面,本文提出一种基于染色算法的频点规划算法,该算法能准确有效地对不同规模下的邻区列表进行频点规划,为通信网络中各个小区分配与其所有邻区不同的频点,从而避免小区与其邻区之间的干扰,该算法弥补了现有的频点方案中的准确性差以及频点浪费问题。在网络优化方面,本文设计的覆盖盲区优化方案支持修改基站天线参数和添加基站天线两种方式来进行覆盖盲区优化,对福建三明地区的覆盖盲区优化结果显示场景优化之前场景中大于-90dBm的覆盖面积是98.49%,优化之后场景中大于-90dBm的覆盖面积是99.07%。
[Abstract]:With the rapid development of mobile communication technology, people not only enjoy the convenience brought by 3G network, but also notice the disadvantages of 3G network, such as weak 3G signals or interference in some regions, which will seriously affect the 3G experience of users. At present, the major communication operators in China mainly use the subjective judgment of engineers, the trial and error mode of the present network, the re-test and verification mode for the base station site planning and engineering parameter setting. This mode needs a lot of optimization and adjustment work in the later stage. But the optimization adjustment work mainly depends on the artificial experience many times attempts, lacks the accuracy; In the aspect of network coverage evaluation, the traditional empirical method is used to optimize the coverage. This method can not locate the problem accurately, and a large number of road measurements are needed to evaluate the communication network. And the network performance check is mostly passive trigger, post-check. A network planning network optimization system is designed and developed in this paper. Based on the ray tracing model, the power coverage of base station antenna in complex indoor and urban environment is analyzed and forecasted, so that the coverage range of base station antenna can be obtained truthfully and accurately. The system overcomes the shortcoming of using the empirical model to predict the coverage of base station antenna, which provides an effective guarantee for the accuracy of the subsequent neighborhood planning and frequency planning. In the aspect of neighborhood planning, a neighborhood list algorithm based on antenna power coverage results is proposed in this paper. This algorithm can accurately and effectively solve the neighbor list of base station antenna with different coverage range. Therefore, the problems of poor accuracy and excessive power consumption caused by the existing planning schemes in adjacent areas are solved. The accuracy and feasibility of the algorithm are verified by the measured data in Sanming area provided by Fujian Mobile. In the aspect of frequency point planning, this paper presents a frequency point planning algorithm based on coloring algorithm. Each cell in the communication network is assigned different frequency points from all its neighbors, thus avoiding the interference between the cell and its adjacent area. The algorithm makes up for the accuracy difference and frequency waste problems in the existing frequency point scheme. In the aspect of network optimization, the blind area optimization scheme designed in this paper supports to modify the base station antenna parameters and add base station antenna to optimize the coverage blind area. The result of blind area optimization in Sanming area of Fujian shows that the coverage area of the scene larger than-90dBm is 98.49 before the scene optimization, and the coverage area of the scene larger than-90dBm after the optimization is 99.07.
【学位授予单位】：哈尔滨工程大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN929.53

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