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Novel Deterministic Angular Sampling Methods for 3D Channel Models
IEEE Communications Letters ( IF 4.1 ) Pub Date : 2021-02-26 , DOI: 10.1109/lcomm.2021.3061735
Weimin Wang , Heng Wang , Yongle Wu , Yuanan Liu

For the purpose of emulating realistic ray-based channels more exactly, two novel sum-of-cisoids (SOC) channel simulator parameters computation strategies, i.e., the bidirectional allocation (BA) and the simplified forward allocation (FA) methods, are proposed in this letter. Compared with the classical equal power method, the asymmetric computing property of these two methods further improves the spatial correlation emulation accuracy and significantly mitigates the intra-cluster correlation of sub-paths. As shown in the simulation results, both BA and FA methods enable the statistical spatial-temporal characteristics of emulated channel match extremely well with that of the target channel. More important, the proposed processes are deterministic, and will not introduce randomness in different realizations. Hence the proposed methods are always ergodic with arbitrary angle spreads.

中文翻译:

用于 3D 通道模型的新型确定性角度采样方法

为了更准确地模拟真实的基于射线的通道,提出了两种新颖的和 cisoids (SOC) 通道模拟器参数计算策略,即双向分配 (BA) 和简化前向分配 (FA) 方法。这封信。与经典的等幂方法相比,这两种方法的非对称计算特性进一步提高了空间相关仿真精度,并显着减轻了子路径的簇内相关性。如仿真结果所示,BA 和 FA 方法都使仿真通道的统计时空特性与目标通道的统计时空特性非常匹配。更重要的是,所提出的过程是确定性的,不会在不同的实现中引入随机性。
更新日期:2021-02-26
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