通过信道测量分析3GPP空间一致性过程

William Sloane, M. Shafi, C. Gentile, G. Woodward, Philippa A. Martin, Pan Tang, Jian-hua Zhang, Chiehping Lai
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引用次数: 0

摘要

通过对会议室、报告厅和开放式办公楼层的毫米波通道测量来分析和模拟通道集群的空间一致性。特别是,每个集群中提取的多路径分量的到达角度和延迟如何随接收器位置的微小变化而变化。我们扩展了KPowerMeans算法,将捕获的多路径分量从延迟/角域分类为簇,以包括位置域,从而允许分析簇在位置之间的空间一致性。然后利用观测到的空间一致性来验证3GPP空间一致性程序(3GPP SC-I)是否反映了现实世界的空间一致性。然后在每个环境中应用3GPP空间一致性程序,以确保移动用户模拟期间簇参数的空间一致性,从而允许“预测”簇参数与测量的簇参数之间的比较。3GPP模型/程序显示适合所有环境,但强调了环境对程序准确性的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysing the 3GPP Spatial Consistency Procedure Through Channel Measurements
Millimeter-wave channel measurements for a meeting room, lecture room and open plan office floor were used to analyse and model the spatial consistency of channel clusters. Particularly, how the angles of arrival and delays of extracted multi-path components in each cluster varied with small changes in receiver location. We extended the KPowerMeans algorithm, for classifying captured multi-path components into clusters from the delay/angular domains, to include the location domain to allow the spatial consistency of the clusters between locations to be analysed. The observed spatial consistency in measurements was then used to validate whether the 3GPP spatial consistency procedure (3GPP SC-I) reflects real world spatial consistency. The 3GPP spatial consistency procedure for ensuring spatial consistency of cluster parameters during mobile user simulations was then applied for each environment, allowing for comparison between the ‘predicted’ cluster parameters and the measured cluster parameters. The 3GPP model/procedure showed a good fit for all environments but highlighted the impact of the environment on the amount of accuracy of the procedure.
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