基于反演模式的移动通信网络覆盖优化系统的设计与实现
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摘要
近几年,随着移动通信的飞速发展,无线通信网络的容量要越来越高,只有合理有效的小区覆盖,无线网络通信的质量才能得到保证,只有深入理解无线信号传播才能实现合理有效的控制小区覆盖,得到高精确度的电波传播预测模型。在此需求下,本人选择了无线网络覆盖预测为理论,并与实际应用相结合作为本论文研究方向的课题。
本文不但介绍了电波传播理论和传播机制,而且还详细讨论了移动通信网络中经常用到的几种电波传播路径损耗预测模型,分析各种传播模型的局限性。并在广泛研读了GIS、软件工程和移动通信的相关资料,以此为基础对无线网络覆盖优化的工程应用为研究目的,将基于反演模式的电波传播模型与GIS相结合应用于实际工程中的覆盖预测,并解决相应的问题。
使用微软的.NET平台及便于开发应用软件的C#语言对系统进行开发,研制和开发了基于反演模式电波传播模型的界面友好和功能完善的网络优化系统软件。
本文研究工作的主要贡献和有所创新的成果如下：
(1)全面的完善了基于反演模式的电波传播模型的基本原理、建模、求解的方法。使用.NET平台设计实现了基于反演模式电波传播模型的网络优化系统软件平台,以进一步推动对基于反演模式电波传播模型的研究向更深层次发展。
(2)该平台以珠海市地理信息数据及无线电波的路测场强数据为例,实现了基于反演模式的覆盖优化的实际应用。
With the development of the Mobile communication in recently years, the capacity demand of wireless network is increased rapidly. The communication quality of wireless network can be guaranteed only if region coverage is effectively and reasonably. Controlling the region coverage effectively can be realized and the radio waves propagation prediction model with high precision could be obtained only if wireless signal propagation is understood deeply. In this demand, I choose the theory of wireless network coverage combining with the practical application for the study direction of subject.
Several kinds of traditional path loss propagation model in mobile communication system were discussed in this paper. Based on the introduction of wave propagation theory and mechanism, a systematic research in localization of these models was conducted. And study of the GIS, software engineering and mobile communications. Based on these theories the Mobile wireless network coverage optimization of engineering applications is the purpose. Combine the inverse prediction model with GIS, applied to practical projects. And solve the corresponding problems.
Using Microsoft's.NET development platform and C# language to develop this system, Research and development of the radio wave propagation model based on inverse model friendly interface and functionality improved network optimization system software. This software have Friendly interface and fully functional.
The main contributions and innovations in this paper are as follows:
(1) Consummating the basic principles, modeling, and solving method of the inverse prediction model for propagation loss in the cellular networks; Used.NET platform designed and implements the network planning system software based on the inverse prediction model. In order to promote the studies of inverse prediction model to a deeper level in the further.
(2) The platform used the geographic information data of Zhuhai and radio waves to drive test data. Realized the inverse prediction model to coverage optimization in project.
本文不但介绍了电波传播理论和传播机制,而且还详细讨论了移动通信网络中经常用到的几种电波传播路径损耗预测模型,分析各种传播模型的局限性。并在广泛研读了GIS、软件工程和移动通信的相关资料,以此为基础对无线网络覆盖优化的工程应用为研究目的,将基于反演模式的电波传播模型与GIS相结合应用于实际工程中的覆盖预测,并解决相应的问题。
使用微软的.NET平台及便于开发应用软件的C#语言对系统进行开发,研制和开发了基于反演模式电波传播模型的界面友好和功能完善的网络优化系统软件。
本文研究工作的主要贡献和有所创新的成果如下：
(1)全面的完善了基于反演模式的电波传播模型的基本原理、建模、求解的方法。使用.NET平台设计实现了基于反演模式电波传播模型的网络优化系统软件平台,以进一步推动对基于反演模式电波传播模型的研究向更深层次发展。
(2)该平台以珠海市地理信息数据及无线电波的路测场强数据为例,实现了基于反演模式的覆盖优化的实际应用。
With the development of the Mobile communication in recently years, the capacity demand of wireless network is increased rapidly. The communication quality of wireless network can be guaranteed only if region coverage is effectively and reasonably. Controlling the region coverage effectively can be realized and the radio waves propagation prediction model with high precision could be obtained only if wireless signal propagation is understood deeply. In this demand, I choose the theory of wireless network coverage combining with the practical application for the study direction of subject.
Several kinds of traditional path loss propagation model in mobile communication system were discussed in this paper. Based on the introduction of wave propagation theory and mechanism, a systematic research in localization of these models was conducted. And study of the GIS, software engineering and mobile communications. Based on these theories the Mobile wireless network coverage optimization of engineering applications is the purpose. Combine the inverse prediction model with GIS, applied to practical projects. And solve the corresponding problems.
Using Microsoft's.NET development platform and C# language to develop this system, Research and development of the radio wave propagation model based on inverse model friendly interface and functionality improved network optimization system software. This software have Friendly interface and fully functional.
The main contributions and innovations in this paper are as follows:
(1) Consummating the basic principles, modeling, and solving method of the inverse prediction model for propagation loss in the cellular networks; Used.NET platform designed and implements the network planning system software based on the inverse prediction model. In order to promote the studies of inverse prediction model to a deeper level in the further.
(2) The platform used the geographic information data of Zhuhai and radio waves to drive test data. Realized the inverse prediction model to coverage optimization in project.
引文
[1]王少尉.移动通信场强传播损耗预测算法研究[D].武汉大学,2004.
[2]杨大成.移动传播环境[M].机械工业出版社,2003.
[3]A. Gamst, R. Beck, R. Simon, et al. An integrated approach to cellular network planning [C]. IEEE VTS Proceedings of Vehicular Technology Conference, San Francisco, CA, USA, 1985:21-24.
[4]A. Gamst. Remarks on radio network planning[C]. IEEE VTS Proceedings of Vehicular Technology Conference,1997:160-165.
[5]W. Mende, E. Oppermann, L. Heitzer. Mobile radio network management supported by a planning tool[J]. Network Operations and Management Symposium,2000,2(3):483-492.
[6]T. Binzer, M. Landstorfer. Radio network planning with neural networks[C]. IEEE VTS Proceedings of Vehicular Technology Conference,2000, Boston, MA, USA,2:811-817.
[7]P. Calegari, F. Guidec, P. Kuonen, et al. Genetic approach to radio network optimization for mobile systems[C]. IEEE VTS Proceedings of Vehicular Technology Conference,1997, Phoenix, MA, USA,2:755-759.
[8]卡尔霍恩.数字蜂窝移动通信[M].人民邮电出版社,1997.
[9]林潇,潘双夏WCDMA无线传播模型校正[J].江南大学学报(自然科学版),2008,7(1)：42-45.
[10]J. J. Caffery, G. L. Stuber. Overview of radiolocation in CDMA cellular systems[J]. IEEE Communication Magazine,2008,36(4):38-45.
[11]A. H. Sayed, A. Tarighat, N. Khajehnouri. Network-based wireless location:challenges faced in developing techniques for accurate wireless location information[J]. IEEE Signal Processing Magazine,2005,22(4):24-40.
[12]H. Laitinen, S. Juurakko. Experimental evaluation of location methods based on signal-strength measurements[J]. IEEE Transactions on Vehicular Technology,2007,56(1): 287-296.
[13]周异雯.基于射线跟踪法的电波传播预测[D].哈尔滨：哈尔滨工业大学,2006.
[14]王庆扬,陈晓冬.2.5 GHz和3.5 GHz频段的WiMAX传播模型研究与校正[J].电信科学,2008，6：52-54.
[15]M. F. Iskander, Zhengqing Yun. Propagation prediction models for wireless communication systems[J]. IEEE Transactions on Microwave Theory and Techniques,2002,50(3):662-673.
[16]李焜,王喆.无线通信电波传播模型的研究[J].无线通信技术,2008,1：10-12.
[17]J. W. Schuster, R. J. Luebers. Comparison of GTD and FDTD predictions for UHF radio wave propagation in a simple outdoor urban environment[C]. IEEE Antennas and Propagation Society, AP-S International Symposium,1997,3:2022-2024.
[18]P. G. Brown, C. C. Constantinou. Investigations on the prediction of radio wave propagation in urban microcell environments using ray-tracing methods[J]. IEEE Proceedings: Microwaves, Antennas and Propagation,1996,143(1):36-42.
[19]Yu shengbing, Xu jisheng. The RCT approach for tell coverage prediction(Ⅰ):Principles[J]. Wuhan University Journal of Natural Scences,2001,6(4):791-795.
[20]Yu shengbing, Xu jisheng. The RCT approach for cell coverage prediction(Ⅱ):Experiment and Early Results[J]. Wuhan University Journal of Natural Scences,2001,6(4):796-800.
[21]徐继生,王玉皞.移动通信网无线信号场强预测的反演实现[J].电信科学,2003,10：5-10.
[22]沙踪.中国电波传播研究五十年回眸[N].中国电子报,2007.
[23]Y. Okumura, E. Ohmori, T. Kawano, et al. Field strength variability in VHF and UHF land mobile service[J]. Review Electronics Communication Laboratory,1968,16(9):825-873.
[24]M. Hata. Empirical formula for propagation loss in the VHF and UHF land mobile radio services, IEEE Transaction on Vehicular Technology,1980,29(3):317-325.
[25]J. Walfisch, H. L. Bertoni. A theoretical model of UHF propagation in urban environments[J]. IEEE Transactions on Antennas and Propagation,1988,38(12): 1788-1796.
[26]J. S. Lee, L. E. Miller. CDMA systems engineering handbook[M]. J. S. Lee Associates, Inc, 1998.
[27]A. J. Rustako, N. Amitay, G. J. Owens, et al. Radio propagation at microwave frequencies for line-of-sight microcellular mobile and personal communications[J]. IEEE Transactionson on Vehicular Technology,1991,40(6):203-210.
[28]H. H. Xia, H. L. Bertoni. Radio propagation characteristics for line-of-sight microcellular and personal communications[J]. IEEE Transactions on Antennas and Propagation,1993, 41(2):1439-1447.
[29]Y. Oda, K. Tsunekawa, M. Hata. Advanced LOS path-loss model in microcellular mobile communications[J]. IEEE Transactions on Vehicular Technology,2000,49(4):2121-2125.
[30]W. C. Y. Lee. Studies of base-station antenna height effect on mobile radio[J]. IEEE Transactions on Vehicular Technology,1980,29(1):252-260.
[31]谢益溪.无线电波传播原理与应用[M].人民邮电出版社,2008.
[32]王世顺.移动通信原理与应用[M].人民邮电出版社,1995.
[33]韩江.GDI+图形程序设计[M].电子工业出版社,2004.
[34]S. R. Saunders, F. R. Bonar. Mobile radio propagation in built-up areas:a numerical model of slow fading[C].41st IEEE Vehicular Technology Society Conference,2002, St. Louis, MO, USA,19(22):295-300.
[35]P. E. Mogensen, P. Eggers, C. Jensen, et al, Urban area radio propagation measurements at 955 and 1845 MHz for small and micro cells[C]. Global Telecommunications Conference, Phoenix, Ariz, USA,1991,2(5):1297-1302.
[36]D. J. Cichon, T. Kurner. Propagation prediction models. COST 231 final rep[S]. http://www.lx.it.pt/cost231/,2008.
[37]程瑞庭.电波传播模型TU-RP526及多刃峰绕射研究[J].中国无线电,2006,(10)：51-53.
[38]D. Parsons. The Mobile Radio Propagation Channel[M]. London:Pentech Publishers,1992.
[39]Theodore S. Rappaport. Wireless Communications Principles & Practice[M]. New Jersey: Prentice Hall,1996.
[40]尹启禄,黄翠琳,葛磊.TD-SCDMA室内传播模型研究[J].移动通信,2008,(8)：26-30.
[41]G. M. Whitman, K. S. Kim, E. Niver. A theoretical model for radio signal attenuation inside buildings[J]. IEEE Transactions on Vehicular Technology,1995,44(3):621-629.
[42]李军浩,司文荣,杨景岗等.直线及L型GIS模型电磁波传播特性研究[J].西安交通大学学报,2008,42(10)：1280-1284.
[43]H. Ling, R. Chou, S. Lee. Shooting and bouncing rays:Calculating the RCS of an arbitrarily shaped cavity[J]. IEEE Transactions on Antennas and Propagation,1989,37(8):194-205.
[44]U. Dersch, E. Zollinger. Propagation mechanisms in microcell and indoor environments[J]. IEEE Transactions on Vehicular Technology,1994,43(4):1058-1066.
[45]C. Yang, B. Wu. Simulations and measurements for indoor wave propagation through periodic structures[J]. IEEE Transactions on Antennas and Propagation,1999,1(1): 384-387.
[46]W. C. Y. Lee. Mobile Communication Design Fundamentals[M]. Wiley Interscience,1993.
[47]Michael Thiel, Kamal Sarabandi. A hybrid method for indoor wave propagation modeling[J]. IEEE Transactions on Antennas and Propagation,2008,56(8):2703-2709.
[48]梁晓辉,霍晓栋.分布式交互仿真中的电波传播模型研究[J].系统仿真学报,2008,20(8)：2059-2063.
[49]Yuhao Wang, Ge Dang, Yang Si, et al. An inversion propagation model using GA for coverage prediction of a single urban cell in wireless network[C]. IEEE International Conference on Communications ICC 2008, Beijing. China,4894-4898.
[50]Li Xu, Yuhao Wang, Ye Liu, et al. Enhanced strength-difference position method based on an inversion propagation model for urban and suburban cells in wireless network[C]. IEEE International Conference on Wireless Communication, Networking and Mobile Computing, Dalian. China,2008.
[51]P. Chang, W. Yang. Environment-adaptation mobile radio prediction using radial basis function neural networks[J]. IEEE Transactions on Vehicular Technology,1997,46(4): 155-160.
[52]P. Petrus, J. H. Reed, T. S. Rappaport. Geometrical-based statistical macrocell channel model for mobile environments[J]. IEEE Transactions on Communications,2002,50(2): 495-502.
[53]J. S. Xu, Yuhao Wang, Zhe Wang. A Novel Measurement-Based Algorithm for Coverage Prediction of Urban and Suburban Cells in Wireless Networks[J]. IEEE Transactions on Antennas and Propagation,2006,54(2):3138-3142.
[2]杨大成.移动传播环境[M].机械工业出版社,2003.
[3]A. Gamst, R. Beck, R. Simon, et al. An integrated approach to cellular network planning [C]. IEEE VTS Proceedings of Vehicular Technology Conference, San Francisco, CA, USA, 1985:21-24.
[4]A. Gamst. Remarks on radio network planning[C]. IEEE VTS Proceedings of Vehicular Technology Conference,1997:160-165.
[5]W. Mende, E. Oppermann, L. Heitzer. Mobile radio network management supported by a planning tool[J]. Network Operations and Management Symposium,2000,2(3):483-492.
[6]T. Binzer, M. Landstorfer. Radio network planning with neural networks[C]. IEEE VTS Proceedings of Vehicular Technology Conference,2000, Boston, MA, USA,2:811-817.
[7]P. Calegari, F. Guidec, P. Kuonen, et al. Genetic approach to radio network optimization for mobile systems[C]. IEEE VTS Proceedings of Vehicular Technology Conference,1997, Phoenix, MA, USA,2:755-759.
[8]卡尔霍恩.数字蜂窝移动通信[M].人民邮电出版社,1997.
[9]林潇,潘双夏WCDMA无线传播模型校正[J].江南大学学报(自然科学版),2008,7(1)：42-45.
[10]J. J. Caffery, G. L. Stuber. Overview of radiolocation in CDMA cellular systems[J]. IEEE Communication Magazine,2008,36(4):38-45.
[11]A. H. Sayed, A. Tarighat, N. Khajehnouri. Network-based wireless location:challenges faced in developing techniques for accurate wireless location information[J]. IEEE Signal Processing Magazine,2005,22(4):24-40.
[12]H. Laitinen, S. Juurakko. Experimental evaluation of location methods based on signal-strength measurements[J]. IEEE Transactions on Vehicular Technology,2007,56(1): 287-296.
[13]周异雯.基于射线跟踪法的电波传播预测[D].哈尔滨：哈尔滨工业大学,2006.
[14]王庆扬,陈晓冬.2.5 GHz和3.5 GHz频段的WiMAX传播模型研究与校正[J].电信科学,2008，6：52-54.
[15]M. F. Iskander, Zhengqing Yun. Propagation prediction models for wireless communication systems[J]. IEEE Transactions on Microwave Theory and Techniques,2002,50(3):662-673.
[16]李焜,王喆.无线通信电波传播模型的研究[J].无线通信技术,2008,1：10-12.
[17]J. W. Schuster, R. J. Luebers. Comparison of GTD and FDTD predictions for UHF radio wave propagation in a simple outdoor urban environment[C]. IEEE Antennas and Propagation Society, AP-S International Symposium,1997,3:2022-2024.
[18]P. G. Brown, C. C. Constantinou. Investigations on the prediction of radio wave propagation in urban microcell environments using ray-tracing methods[J]. IEEE Proceedings: Microwaves, Antennas and Propagation,1996,143(1):36-42.
[19]Yu shengbing, Xu jisheng. The RCT approach for tell coverage prediction(Ⅰ):Principles[J]. Wuhan University Journal of Natural Scences,2001,6(4):791-795.
[20]Yu shengbing, Xu jisheng. The RCT approach for cell coverage prediction(Ⅱ):Experiment and Early Results[J]. Wuhan University Journal of Natural Scences,2001,6(4):796-800.
[21]徐继生,王玉皞.移动通信网无线信号场强预测的反演实现[J].电信科学,2003,10：5-10.
[22]沙踪.中国电波传播研究五十年回眸[N].中国电子报,2007.
[23]Y. Okumura, E. Ohmori, T. Kawano, et al. Field strength variability in VHF and UHF land mobile service[J]. Review Electronics Communication Laboratory,1968,16(9):825-873.
[24]M. Hata. Empirical formula for propagation loss in the VHF and UHF land mobile radio services, IEEE Transaction on Vehicular Technology,1980,29(3):317-325.
[25]J. Walfisch, H. L. Bertoni. A theoretical model of UHF propagation in urban environments[J]. IEEE Transactions on Antennas and Propagation,1988,38(12): 1788-1796.
[26]J. S. Lee, L. E. Miller. CDMA systems engineering handbook[M]. J. S. Lee Associates, Inc, 1998.
[27]A. J. Rustako, N. Amitay, G. J. Owens, et al. Radio propagation at microwave frequencies for line-of-sight microcellular mobile and personal communications[J]. IEEE Transactionson on Vehicular Technology,1991,40(6):203-210.
[28]H. H. Xia, H. L. Bertoni. Radio propagation characteristics for line-of-sight microcellular and personal communications[J]. IEEE Transactions on Antennas and Propagation,1993, 41(2):1439-1447.
[29]Y. Oda, K. Tsunekawa, M. Hata. Advanced LOS path-loss model in microcellular mobile communications[J]. IEEE Transactions on Vehicular Technology,2000,49(4):2121-2125.
[30]W. C. Y. Lee. Studies of base-station antenna height effect on mobile radio[J]. IEEE Transactions on Vehicular Technology,1980,29(1):252-260.
[31]谢益溪.无线电波传播原理与应用[M].人民邮电出版社,2008.
[32]王世顺.移动通信原理与应用[M].人民邮电出版社,1995.
[33]韩江.GDI+图形程序设计[M].电子工业出版社,2004.
[34]S. R. Saunders, F. R. Bonar. Mobile radio propagation in built-up areas:a numerical model of slow fading[C].41st IEEE Vehicular Technology Society Conference,2002, St. Louis, MO, USA,19(22):295-300.
[35]P. E. Mogensen, P. Eggers, C. Jensen, et al, Urban area radio propagation measurements at 955 and 1845 MHz for small and micro cells[C]. Global Telecommunications Conference, Phoenix, Ariz, USA,1991,2(5):1297-1302.
[36]D. J. Cichon, T. Kurner. Propagation prediction models. COST 231 final rep[S]. http://www.lx.it.pt/cost231/,2008.
[37]程瑞庭.电波传播模型TU-RP526及多刃峰绕射研究[J].中国无线电,2006,(10)：51-53.
[38]D. Parsons. The Mobile Radio Propagation Channel[M]. London:Pentech Publishers,1992.
[39]Theodore S. Rappaport. Wireless Communications Principles & Practice[M]. New Jersey: Prentice Hall,1996.
[40]尹启禄,黄翠琳,葛磊.TD-SCDMA室内传播模型研究[J].移动通信,2008,(8)：26-30.
[41]G. M. Whitman, K. S. Kim, E. Niver. A theoretical model for radio signal attenuation inside buildings[J]. IEEE Transactions on Vehicular Technology,1995,44(3):621-629.
[42]李军浩,司文荣,杨景岗等.直线及L型GIS模型电磁波传播特性研究[J].西安交通大学学报,2008,42(10)：1280-1284.
[43]H. Ling, R. Chou, S. Lee. Shooting and bouncing rays:Calculating the RCS of an arbitrarily shaped cavity[J]. IEEE Transactions on Antennas and Propagation,1989,37(8):194-205.
[44]U. Dersch, E. Zollinger. Propagation mechanisms in microcell and indoor environments[J]. IEEE Transactions on Vehicular Technology,1994,43(4):1058-1066.
[45]C. Yang, B. Wu. Simulations and measurements for indoor wave propagation through periodic structures[J]. IEEE Transactions on Antennas and Propagation,1999,1(1): 384-387.
[46]W. C. Y. Lee. Mobile Communication Design Fundamentals[M]. Wiley Interscience,1993.
[47]Michael Thiel, Kamal Sarabandi. A hybrid method for indoor wave propagation modeling[J]. IEEE Transactions on Antennas and Propagation,2008,56(8):2703-2709.
[48]梁晓辉,霍晓栋.分布式交互仿真中的电波传播模型研究[J].系统仿真学报,2008,20(8)：2059-2063.
[49]Yuhao Wang, Ge Dang, Yang Si, et al. An inversion propagation model using GA for coverage prediction of a single urban cell in wireless network[C]. IEEE International Conference on Communications ICC 2008, Beijing. China,4894-4898.
[50]Li Xu, Yuhao Wang, Ye Liu, et al. Enhanced strength-difference position method based on an inversion propagation model for urban and suburban cells in wireless network[C]. IEEE International Conference on Wireless Communication, Networking and Mobile Computing, Dalian. China,2008.
[51]P. Chang, W. Yang. Environment-adaptation mobile radio prediction using radial basis function neural networks[J]. IEEE Transactions on Vehicular Technology,1997,46(4): 155-160.
[52]P. Petrus, J. H. Reed, T. S. Rappaport. Geometrical-based statistical macrocell channel model for mobile environments[J]. IEEE Transactions on Communications,2002,50(2): 495-502.
[53]J. S. Xu, Yuhao Wang, Zhe Wang. A Novel Measurement-Based Algorithm for Coverage Prediction of Urban and Suburban Cells in Wireless Networks[J]. IEEE Transactions on Antennas and Propagation,2006,54(2):3138-3142.