长江无线信号覆盖规划最优设计
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摘要
基于长江无线网络建设需求,给出无线信号覆盖仿真平台设计。将Google Earth地图中新建基站位置信息和基站参数配置输入仿真平台中,进行无线信号仿真,得到无线信号覆盖仿真图。根据仿真结果,对新建基站的位置信息和参数信息进行调整。经过多次仿真和调整,使新建基站能够满足无线信号覆盖需求。该无线信号覆盖仿真平台能够指导长江无线网络建设,用最短的建网时间、最少的建网成本,建设最优质的无线网络。
Based on the requirements of wireless network construction in Yangtze River area,this paper proposes a design method of wireless signal coverage simulation platform.The position information and parameter configuration of new base stations in Google Earth map are input into the simulation platform for wireless signal simulation to obtain the wireless signal coverage simulation picture.According to the simulation results,the position information and parameter configuration of new base stations are adjusted.After repetitious simulations and adjustments,the new base station can meet the requirements on wireless signal coverage.By simulated result,engineer can adjust the new building base station position information and parameters configure.After simulated and adjusted,the new building base station can meet the demand of wireless signal cover.This wireless signal coverage simulation platform can guide wireless network construction for constructing the best wireless network by using the shortest time and the least cost.
Based on the requirements of wireless network construction in Yangtze River area,this paper proposes a design method of wireless signal coverage simulation platform.The position information and parameter configuration of new base stations in Google Earth map are input into the simulation platform for wireless signal simulation to obtain the wireless signal coverage simulation picture.According to the simulation results,the position information and parameter configuration of new base stations are adjusted.After repetitious simulations and adjustments,the new base station can meet the requirements on wireless signal coverage.By simulated result,engineer can adjust the new building base station position information and parameters configure.After simulated and adjusted,the new building base station can meet the demand of wireless signal cover.This wireless signal coverage simulation platform can guide wireless network construction for constructing the best wireless network by using the shortest time and the least cost.
引文
[1]3GPP TS 36.101 v9.3.0,User Equipment(UE)Radio Transmission and Reception(Release 9)[S],2010.
[2]TOMIC S,MEZEI I.Improved DV-Hop Localization Algorithm for Wireless Sensor Networks[C]∥2012 IEEE10th Jubilee International Symposium on Intelligent Systems and Information,2012,8(1):30-41.
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[5]LEE J Y,BAHK S.Simple Admission Control Schemes Supporting Qo S in Wireless Multimedia[J].Electronics Letters,2001,37(11):712-713.
[6]JAKES W.Microwave Mobile Communications[M].New York:Wiley-IEEE Press,1994.
[7]WANG X,POOR H V.Blind Multiuser Detection:A Subspace Approach[J].IEEE Trans.on IT.1998,IT-44(2):677-690.
[8]ITU-T P.800,Methods for Subjective Determination of Transmission Quality[S],1996.
[9]梁洁,刘静波.对未来移动通信发展的探究[J].科技信息,2010(10):64-68.
[10]刘明爽.关于移动无线网络优化技术的探讨[J].中国新通信,2013(12):88-89.
[11]肖开宏,皮和平.LTE无线网络规划与设计[M].北京:人民邮电出版社,2012.
[12]马向辰,刘海平,于晓冰.WLAN 802.11n组网规划相关问题研究[J].电信工程技术与标准化,2011(4):31-33.
[13]张斌,陈芳,刘光.用于军事通信网络规划分析的免疫系统多目标优化算法[J].国防科技,2013(21):41-42.
[14]卢志刚.试析光传输通信系统运行维护和故障处理[J].通讯世界,2013(8):25
[15]张坚平,张届新,方鸣.面向LTE的IPRAN技术路线与组网研究[J].数字技术与应用,2013(9):11-12.
[2]TOMIC S,MEZEI I.Improved DV-Hop Localization Algorithm for Wireless Sensor Networks[C]∥2012 IEEE10th Jubilee International Symposium on Intelligent Systems and Information,2012,8(1):30-41.
[3]McKinsey Global Institute.Big Data:the Next Frontier for Innovation,Competition,and Productivity[R].McKinsey Global Institute,2011.
[4]CHIU M H,BASSIOUN M A.Predictive Schenes for Handoff Prioritization in Cellular Networks Based on Mobile Positioning[J].IEEE J Select Areas Commun,2000,18(3):510-522.
[5]LEE J Y,BAHK S.Simple Admission Control Schemes Supporting Qo S in Wireless Multimedia[J].Electronics Letters,2001,37(11):712-713.
[6]JAKES W.Microwave Mobile Communications[M].New York:Wiley-IEEE Press,1994.
[7]WANG X,POOR H V.Blind Multiuser Detection:A Subspace Approach[J].IEEE Trans.on IT.1998,IT-44(2):677-690.
[8]ITU-T P.800,Methods for Subjective Determination of Transmission Quality[S],1996.
[9]梁洁,刘静波.对未来移动通信发展的探究[J].科技信息,2010(10):64-68.
[10]刘明爽.关于移动无线网络优化技术的探讨[J].中国新通信,2013(12):88-89.
[11]肖开宏,皮和平.LTE无线网络规划与设计[M].北京:人民邮电出版社,2012.
[12]马向辰,刘海平,于晓冰.WLAN 802.11n组网规划相关问题研究[J].电信工程技术与标准化,2011(4):31-33.
[13]张斌,陈芳,刘光.用于军事通信网络规划分析的免疫系统多目标优化算法[J].国防科技,2013(21):41-42.
[14]卢志刚.试析光传输通信系统运行维护和故障处理[J].通讯世界,2013(8):25
[15]张坚平,张届新,方鸣.面向LTE的IPRAN技术路线与组网研究[J].数字技术与应用,2013(9):11-12.