高铁大连段无线网络优化研究
发布时间:2018-06-14 22:41
本文选题:高速铁路 + EVDO ; 参考:《大连理工大学》2016年硕士论文
【摘要】:近些年来铁路速度大幅提升,中国进入了高铁时代,高铁作为一种新型的交通工具,其快速、廉价与便捷的特点深深的吸引了许多用户,乘坐高铁出行渐渐成为越来越多用户的第一选择。哈大高铁是国家骨干高速铁路网络的重要组成部分,全长921公里,设计时速350公里,跨越东北三省四大城市,线路位于辽宁境内,全长达到553公里。大连境内线路总长113公里,设有大连、大连北、普兰店西、瓦房店4个停车站,九里庄、台山、三十里堡明洞、小山屯、笔架山、老虎屯共计6条总长度为6.7公里隧道。哈大高铁线路汇集了多类的场景,如隧道、市区与郊县交界、山区、农村空旷场景等等,用户感知问题涉及的连续覆盖、弱覆盖、系统间操作问题的优化较为困难;同时哈大高铁时速较高,在高铁场景研究中也涉及普通铁路的类似问题,如多普勒效应的影响分析、快衰落问题、车体穿透损耗问题、终端高速移动问题、高速行驶中连续覆盖的保持问题等等,这大大增加了移动网络覆盖优化的难度,在这样的情况下,也对以往的列车高速运行状态下无线网络的优化方案提出了挑战。本文主要研究了哈大高铁大连段中国电信CDMA无线网络覆盖优化问题,基于高铁的高时速、密封性强导致信号穿透性差、边缘用户感知、切换带设置等特异性,分析和论证了多普勒频移、快衰落、车体穿透损耗以及终端高速移动等阻碍无线传播的物理现象,提出了新的高铁移动网络覆盖的优化策略,最终以哈大高铁大连段为例得出一些通用的解决方案,最终提升后续的高铁用户感知。本文详细介绍了高铁移动网络覆盖优化的难点,为了提升哈大高铁大连段的EVDO的网络质量,给出了高铁移动网络覆盖优化的策略,同时积累了优化经验,希望经过本次研究,在高铁移动网络覆盖优化上形成一套完善的优化思路,最终为高铁上的3G用户提供满意的移动网络使用感知。同时,本文还通过大连高铁沿线的CDMA网络覆盖信号质量的优化后的网络进行复测,对整个系统进行了有效的调整,最后各项指标都有了非常明显的提升,优化效果显著。
[Abstract]:In recent years, the speed of the railway has greatly increased. China has entered the era of high-speed rail. As a new type of transportation, high-speed rail has attracted many users deeply because of its rapid, cheap and convenient characteristics. Travel by high-speed train has gradually become the first choice for more and more users. The high-speed railway is an important part of the national backbone high-speed railway network, with a total length of 921 km / h and a design speed of 350 km / h, spanning four cities in three provinces of northeast China. The line is located in Liaoning Province and has a total length of 553 km / h. Dalian line total 113 km, with Dalian, Dalian North, Plantan West, Wafangdian four parking stations, Jiulizhuang, Taishan, Sanshilibao Ming Dong, Xiaotun, Bijiao Hill, Tiger Tun a total of 6 total length of 6.7 km tunnels. There are many kinds of scenarios such as tunnel, the border between urban area and suburban county, mountain area, rural open area and so on. The problem of user perception involves continuous coverage, weak coverage and optimization of operational problems between systems. At the same time, the speed of high-speed railway in Harbin and Dalian is relatively high. Similar problems such as the analysis of the influence of Doppler effect, the problem of fast fading, the problem of car body penetration loss, and the problem of terminal high-speed movement are also involved in the research of high-speed railway. The maintenance of continuous coverage in high speed driving greatly increases the difficulty of mobile network coverage optimization. In this case, it also challenges the previous wireless network optimization schemes in high-speed train operation. This paper mainly studies the coverage optimization of China Telecom CDMA wireless network in Dalian section of high-speed railway. Based on the high speed of high-speed rail, the strong sealing of high-speed railway leads to poor signal penetration, edge user perception, switching band setting and so on. The physical phenomena such as Doppler frequency shift, fast fading, car body penetration loss and terminal high-speed movement are analyzed and demonstrated, and a new optimization strategy for high-speed rail mobile network coverage is proposed. Finally, take Dalian section of Harbin high-speed railway as an example to come up with some common solutions, and finally improve the user perception of high-speed rail. In order to improve the network quality of EVDO in Dalian section of high-speed railway, this paper gives the strategy of coverage optimization of high-speed rail mobile network, and accumulates the experience of optimization, and hopes to pass through this study, in order to improve the network quality of EVDO in Dalian section of high-speed railway. A set of perfect optimization ideas are formed in the coverage optimization of high-speed rail mobile network, and finally provide satisfactory mobile network usage perception for 3G users on high-speed rail. At the same time, this paper also through the CDMA network coverage signal quality optimization of Dalian high-speed rail network after re-testing, the entire system has been effectively adjusted, the last indicators have a very obvious improvement, the optimization effect is remarkable.
【学位授予单位】:大连理工大学
【学位级别】:硕士
【学位授予年份】:2016
【分类号】:TN929.533
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