移动端到移动端3D MIMO宽带信道建模与仿真

doi:10.13190/j.jbupt.2017.04.015

北京邮电大学学报 ›› 2017, Vol. 40 ›› Issue (4): 91-97.doi: 10.13190/j.jbupt.2017.04.015

移动端到移动端3D MIMO宽带信道建模与仿真

梁晓林^1,2, 赵雄文², 李树², 王琦²

1. 河北大学电子信息工程学院, 河北保定 071002;
2. 华北电力大学电气与电子工程学院, 北京 102206

收稿日期:2016-05-26 出版日期:2017-08-28 发布日期:2017-07-10
作者简介:梁晓林(1987-),女,博士,E-mail:xl.liang@foxmail.com.
基金资助:
东南大学移动通信国家重点实验室开放基金资助课题（2016D09）；中国电波传播研究所电波环境特性与模化技术国防重点实验室开放基金资助课题（201400009）；国家自然科学基金项目（61372051）

Modeling and Simulation for 3D Wideband MIMO Mobile-to-Mobile Radio Channels

LIANG Xiao-lin^1,2, ZHAO Xiong-wen², LI Shu², WANG Qi²

1. College of Electronic and Information Engineering, Hebei University, Hebei Baoding 071002, China;
2. School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China

Received:2016-05-26 Online:2017-08-28 Published:2017-07-10

摘要/Abstract

摘要： 提出了一种基于几何的适用于宽带多输入多输出（MIMO）移动端到移动端无线信道的随机散射模型.假设有效散射体位于三维（3D）双柱体的表面，将已有的窄带模型扩展到宽带并且把载频和带宽引入模型中，利用仿真实现信道，通过实现的信道矩阵进一步开展信道特征和参数研究，与现有的解析方法相比更加简单直接.通过对3D双柱体和二维双环散射模型的比较发现，3D模型对应的功率延迟分布的归一化功率和均方根时延扩展比二维的小，3D信道容量有一定的提升.

关键词: 基于几何的随机散射模型, 宽带信道, 移动端到移动端, 多输入多输出

Abstract: A geometry-based stochastic scattering model for wideband multi-input multi-output (MIMO) mobile-to-mobile channels based on three dimensional (3D) two-cylinders was proposed. The proposed narrowband model is extended to wideband, and the carrier frequency and bandwidth was introduced into the model. The channel realization by using channel matrix is much more straight-forward and concise to study the channel characteristics compared with the too complicated analytical solutions available so far. The channel properties and parameters were further investigated based on the simulation model and realized channels. Simulations are compared with the two dimensional two-ring model. It can be found that the normalized power of power-delay-profile and root mean square delay spread of the proposed 3D model are smaller but the channel capacity are larger.

Key words: geometry based stochastic scattering model, wideband channel, mobile-to-mobile, multi-input multi-output

中图分类号:

TN011

梁晓林, 赵雄文, 李树, 王琦. 移动端到移动端3D MIMO宽带信道建模与仿真[J]. 北京邮电大学学报, 2017, 40(4): 91-97.

LIANG Xiao-lin, ZHAO Xiong-wen, LI Shu, WANG Qi. Modeling and Simulation for 3D Wideband MIMO Mobile-to-Mobile Radio Channels[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2017, 40(4): 91-97.

参考文献

[1] Akki A S, Haber F. A statistical model for mobile-to-mobile land communication channel[J]. IEEE Transactions on Vehicular Technology, 1986, 35(1):2-10.
[2] Akki A S. Statistical properties of mobile-to-mobile land communication channels[J]. IEEE Transactions on Vehicular Technology, 1994, 43(4):826-831.
[3] Pätzold M, Hogstad B O, Youssef N, et al. A MIMO mobile-to-mobile channel model:Part I-The reference model[C]//IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). Berlin, Germany:[s.n.], 2005:573-578.
[4] Hogstad B O, Pätzold M, Youssef N, et al. A MIMO mobile-to-mobile channel model:Part Ⅱ-The simulation model[C]//IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). Berlin, Germany:[s.n.], 2005:562-567.
[5] Zaji? A G, Stüber G L. Space-time correlated mobile-to-mobile channels:modeling and simulation[J]. IEEE Transactions on Vehicular Technology, 2008, 57(2):715-726.
[6] Cheng Xiang, Wang Cheng-xiang, Laurenson D, et al. An adaptive geometry-based stochastic model for non-isotropic MIMO mobile-to-mobile channels[J]. IEEE Transactions on Wireless Communications, 2009, 8(9):4824-4835.
[7] Cheng Xiang, Wang Cheng-xiang, Ai B, et al. Envelope level crossing rate and average fade duration of non-isotropic vehicle-to-vehicle ricean fading channels[J]. IEEE Transactions on Intelligent Transportation Systems, 2014, 15(1):62-72.
[8] Cheng Xiang, Yao Qi, Wen Miao-wen et al. Wideband channel modeling and intercarrier interference cancellation for vehicle-to-vehicle communication systems[J]. IEEE Journal on Selected Areas in Communications, 2013, 31(9):434-447.
[9] Yuan Yi, Cheng Xiang, Wang Cheng-xiang, et al. Novel 3D geometry-based stochastic models for non-isotropic MIMO vehicle-to-vehicle channels[J]. IEEE Transactions on Wireless Communications, 2014, 13(1):298-308.
[10] Yuan Yi, Cheng Xiang, Wang Cheng-xiang et al. 3D wideband non-stationary geometry-based stochastic models for non-isotropic MIMO vehicle-to-vehicle channels[J]. IEEE Transactions on Wireless Communications, 2015, 14(12):6883-6895.
[11] Zaji? A G. Impact of moving scatterers on vehicle-to-vehicle narrowband channel characteristics[J]. IEEE Transactions on Vehicular Technology, 2014, 63(7):3094-3106.
[12] Zaji? A G, Stüber G L. Three-dimensional modeling and simulation of wideband MIMO mobile-to-mobile channels[J]. IEEE Wireless Communications, 2009, 8(3):1260-1274.
[13] Talha B, Pätzold M. A Geometrical three-ring-based model for MIMO mobile-to-mobile fading channels in cooperative networks[J]. EURASIP Journal on Advances in Signal Processing, 2011(1):1-13.
[14] Zhao Xiongwen, Liang Xiaolin, Li Shu, et al. Two-Cylinder and multi-ring GBSSM for realizing and modeling of Vehicle-to-Vehicle wideband MIMO channels[J]. IEEE Transactions on Intelligent Transportation Systems, 2016, 17(10):2787-2799.
[15] 王雪利. MIMO M2M移动衰落信道残缺双环模型及其统计特性[D]. 武汉:武汉理工大学, 2010.
[16] 王营. 3D MIMO信道建模研究[D]. 武汉:武汉理工大学, 2010.

移动端到移动端3D MIMO宽带信道建模与仿真

Modeling and Simulation for 3D Wideband MIMO Mobile-to-Mobile Radio Channels

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	张天骐汪锐安泽亮方竹王雪怡. 基于多任务学习的MIMO-OFDM信号联合信噪比估计与调制识别[J]. 北京邮电大学学报, 2022, 45(6): 98-104.
[2]	李贵勇杜一舟王丹刘星星. RIS辅助太赫兹通信的宽带上行信道估计[J]. 北京邮电大学学报, 2022, 45(6): 113-118.
[3]	郑凤杨立. 基于PSO算法的RIS-MIMO联合波束成形方案[J]. 北京邮电大学学报, 2022, 45(5): 23-29.
[4]	朱军杨军李凯于文欣. 基于增强CVAE的三维射线重构方法[J]. 北京邮电大学学报, 2022, 45(5): 36-41.
[5]	孙晶晶, 张治中, 邓炳光. A2G场景下三维宽带非平稳信道建模与分析[J]. 北京邮电大学学报, 2021, 44(5): 61-66.
[6]	朱军, 唐宝煜, 李凯. 基于动态模式分解的移动用户信道容量预测算法[J]. 北京邮电大学学报, 2021, 44(4): 89-94.
[7]	李虎, 韦再雪, 程振桥, 杨鸿文. 透镜天线毫米波MIMO系统中基于开关结构的HBF算法[J]. 北京邮电大学学报, 2021, 44(4): 26-33.
[8]	赵伟, 王斌, 鲍慧, 赵品芳, 李保罡. 基于mMIMO的MEC安全节能资源分配方法[J]. 北京邮电大学学报, 2020, 43(6): 126-131.
[9]	唐杰, 李凯, 林楚婷, 宋彦, 周恩丞. OAM-MIMO通信系统的信道容量研究[J]. 北京邮电大学学报, 2020, 43(6): 27-35.
[10]	丁青锋, 连义翀, 邓玉前. 空间相关信道下大规模MIMO系统频谱效率分析[J]. 北京邮电大学学报, 2020, 43(3): 45-50,98.
[11]	李君瑶, 常永宇, 曾天一. 大规模3D MIMO中基于信道相关的LOS/NLOS识别算法[J]. 北京邮电大学学报, 2020, 43(1): 1-7.
[12]	慕熹东, 郭莉, 董超, 林家儒. 一种基于无人机毫米波通信的波束选择方法[J]. 北京邮电大学学报, 2019, 42(3): 120-126.
[13]	欧泽良, 杨鸿文. 一种基于EP的自适应大规模MIMO信号检测算法[J]. 北京邮电大学学报, 2018, 41(5): 149-152.
[14]	程振桥, 韦再雪, 杨鸿文. 大规模MIMO系统中基于OMP的混合波束赋形方法[J]. 北京邮电大学学报, 2018, 41(5): 153-158.
[15]	魏敏, 汤文杰, 滕颖蕾, 陈广泉, 宋梅. 大规模MIMO系统中基于WMMSE的混合预编码算法[J]. 北京邮电大学学报, 2018, 41(4): 63-68.