On the spatial consistency of stochastic and map-based 5G channel models
On the spatial consistency of stochastic and map-based 5G channel models
复制标题
随机和基于地图的5G信道模型的空间一致性
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
Mário Costa
中科院分区：
文献类型：
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作者：
J. Turkka;Petteri Kela;Mário Costa
第五代(5G)无线移动通信系统目前是许多研究项目和标准化机构的重点，如第三代合作伙伴计划(3GPP)。无线传播信道的准确建模对于评估5G候选技术的性能非常重要。然而，最先进的无线信道模型，如3GPP 3D信道模型，主要由于其固有的随机性，并不适合分析通常考虑的5G的所有用例和场景。特别是，在处理长期空间一致性和缺乏小尺度参数的相关性方面的困难促使使用基于光线跟踪的通道模型。事实上，通过考虑小尺度参数以及连续超密集网络(UDN)的空间相关性，提供空间一致性观测的信道模型对于评估多用户和大规模MIMO方案的性能至关重要。本文通过大量的数值结果表明，在LOS多用户MISO环境下，3GPP 3D信道模型始终低估了可实现的信干比。然而，在NLOS场景和城市微小区部署中，3GPP 3D信道模型显著高估了用户体验的SIR。因此，大规模MIMO方案和连续UDN的可实现性能只能通过考虑小尺度参数的空间相关性的信道模型来评估。
The 5th Generation (5G) of wireless mobile communication systems is currently the focus of many research projects and standardization bodies, such as the 3rd Generation Partnership Project (3GPP). Accurate modeling of the radio propagation channel is important for evaluating the performance of candidate technologies for 5G. However, the state-of-the-art radio channel models, such as the 3GPP 3D channel model, are not appropriate for analyzing all use-cases and scenarios commonly considered for 5G mainly due to its inherent stochastic nature. In particular, the difficulty in dealing with long-term spatial consistency and lack of correlation of small-scale parameters motivates using channel models based on ray-tracing. In fact, channel models that provide spatially consistent observations are of fundamental importance in assessing the performance of multiuser and massive MIMO schemes, by taking into account the spatial correlation of small-scale parameters, as well as of continuous ultra-dense networks (UDNs). This paper shows, by means of extensive numerical results, that the 3GPP 3D channel model consistently underestimates the achievable SIR in LoS multiuser MISO settings. However, in NLoS scenarios and urban micro-cell deployments, the 3GPP 3D channel model significantly overestimates the SIR experienced by the users. Hence, the achievable performance of massive MIMO schemes and continuous UDNs can only be assessed with channel models that take into account the spatial correlation of small-scale parameters.