Winner Ii Channel Models Authors Partner Name Phone / Fax / E-mail
Winner Ii Channel Models Authors Partner Name Phone / Fax / E-mail
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获胜者 Ii 渠道模型 作者 合作伙伴姓名 电话/传真/电子邮件
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通讯作者：
Crc Yvo De Jong
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作者：
P. Kyösti;J. Meinilä;L. Hentilä;Xiongwen Zhao;T. Jämsä;C. Schneider;M. Narandzic;M. Milojević;Aihua Hong;J. Ylitalo;Veli;M. Alatossava;R. Bultitude;Y. D. de Jong;T. Rautiainen;Juha Ebitg;Meinilä;Xiongwen Ebitg;Zhao;Mikko Uoulu;Alatossava;Veli;Holappa;Robert Crc;Bultitude;Crc Yvo De Jong
该交付成果描述了用于链路和系统级仿真的 WINNER II 通道模型。通用延迟线模型和集群延迟线模型都是针对选定的传播场景定义的。免责声明：本交付成果中描述的渠道模型基于文献调查和本项目期间进行的测量。对于模型或可交付成果中的潜在错误或不准确造成的任何损失、损坏或费用，作者不承担任何责任。执行摘要 该交付成果介绍了用于局域、城域和广域无线通信系统的链路级和系统级仿真的 WINNER II 信道模型。这些模型是从 WINNER I 可交付成果 D5.4 中描述的 WINNER I 渠道模型和可交付成果 D1.1.1 中描述的 WINNER II 临时渠道模型演变而来的。覆盖的传播场景包括室内办公室、室内大大厅、室内到室外、城市微蜂窝、城市不良微蜂窝、室外到室内、固定馈线、郊区宏蜂窝、城市宏蜂窝、农村宏蜂窝、农村移动网络。通用 WINNER II 信道模型遵循基于几何的随机信道建模方法，该方法允许创建任意双向无线电信道模型。信道模型与天线无关，即可以插入不同的天线配置和不同的元件模式。信道参数是根据从信道测量中提取的统计分布随机确定的。这些分布被定义为例如延迟扩展、延迟值、角度扩展、阴影衰落和交叉极化比。对于每个通道快照，通道参数是根据分布计算的。通道实现是通过将具有特定通道参数（如延迟、功率、到达角和出发角）的射线贡献相加而生成的。使用相同的方法但不同的参数对不同的场景进行建模。每个场景的参数表都包含在该可交付成果中。还创建了具有固定大尺度和小尺度参数的集群延迟线（CDL）模型，用于校准和比较不同模拟。 CDL 模型的参数基于通用模型的期望值。多项测量活动为视距 (LOS) 和非视距 (NLOS) 条件下的传播场景参数化提供了背景。这些测量是由七个合作伙伴使用不同的设备进行的。开发的模型基于文献和在 WINNER I 和 WINNER II 项目中进行的广泛测量活动。 WINNER 模型的新颖特点是其参数化，对室内和室外环境、室外到室内和室内到室外等新场景使用相同的建模方法……
This deliverable describes WINNER II channel models for link and system level simulations. Both generic and clustered delay line models are defined for selected propagation scenarios. Disclaimer: The channel models described in this deliverable are based on a literature survey and measurements performed during this project. The authors are not responsible for any loss, damage or expenses caused by potential errors or inaccuracies in the models or in the deliverable. Executive Summary This deliverable presents WINNER II channel models for link level and system level simulations of local area, metropolitan area, and wide area wireless communication systems. The models have been evolved from the WINNER I channel models described in WINNER I deliverable D5.4 and WINNER II interim channel models described in deliverable D1.1.1. The covered propagation scenarios are indoor office, large indoor hall, indoor-to-outdoor, urban micro-cell, bad urban micro-cell, outdoor-to-indoor, stationary feeder, suburban macro-cell, urban macro-cell, rural macro-cell, and rural moving networks. The generic WINNER II channel model follows a geometry-based stochastic channel modelling approach, which allows creating of an arbitrary double directional radio channel model. The channel models are antenna independent, i.e., different antenna configurations and different element patterns can be inserted. The channel parameters are determined stochastically, based on statistical distributions extracted from channel measurement. The distributions are defined for, e.g., delay spread, delay values, angle spread, shadow fading, and cross-polarisation ratio. For each channel snapshot the channel parameters are calculated from the distributions. Channel realisations are generated by summing contributions of rays with specific channel parameters like delay, power, angle-of-arrival and angle-of-departure. Different scenarios are modelled by using the same approach, but different parameters. The parameter tables for each scenario are included in this deliverable. Clustered delay line (CDL) models with fixed large-scale and small-scale parameters have also been created for calibration and comparison of different simulations. The parameters of the CDL models are based on expectation values of the generic models. Several measurement campaigns provide the background for the parameterisation of the propagation scenarios for both line-of-sight (LOS) and non-LOS (NLOS) conditions. These measurements were conducted by seven partners with different devices. The developed models are based on both literature and extensive measurement campaigns that have been carried out within the WINNER I and WINNER II projects. The novel features of the WINNER models are its parameterisation, using of the same modelling approach for both indoor and outdoor environments, new scenarios like outdoor-to-indoor and indoor-to-outdoor, …