A General 3D Space-Time-Frequency Non-Stationary Model for 6G Channels

In this paper, a general three-dimensional (3D) space-time-frequency non-stationary model is proposed for sixth generation (6G) channels. From the proposed model, a novel method, so-called correlated cluster based birth-death (BD) process method, is developed to efficiently and jointly mimic the 3D...

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Vydáno v:IEEE transactions on wireless communications Ročník 20; číslo 1; s. 535 - 548
Hlavní autoři: Huang, Ziwei, Cheng, Xiang
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.01.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
3D space-time-frequency non-stationarity
6G channel model
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Algorithms
Antenna arrays
Channels
Cluster analysis
Clustering
Clustering algorithms
correlated cluster based BD process method
Correlation coefficients
Iterative algorithms
Iterative methods
Machine learning
Machine learning algorithms
Mathematical analysis
Matrix methods
Model accuracy
Modelling
Solid modeling
Spacetime
Three dimensional models
Three-dimensional displays
Time-frequency analysis
Vector quantization
ISSN:1536-1276, 1558-2248
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Shrnutí:In this paper, a general three-dimensional (3D) space-time-frequency non-stationary model is proposed for sixth generation (6G) channels. From the proposed model, a novel method, so-called correlated cluster based birth-death (BD) process method, is developed to efficiently and jointly mimic the 3D channel space-time-frequency non-stationarity. In this developed method, the frequency non-stationarity is properly captured by correlated clusters, which are obtained via an unsupervised learning algorithm in machine learning, i.e., K-Means clustering algorithm. Additionally, the developed method involves the cluster based space-time non-stationary modeling. Based on the correlation coefficient of clusters, the BD probabilities on the array and time axes are reasonably modified by the linear weight method and matrix iteration algorithm. Therefore, interactions among the space, time, and frequency non-stationary modeling are sufficiently considered. Important channel statistical properties are derived and thoroughly investigated. Simulation results demonstrate that the channel non-stationarity in space-time-frequency domains can be sufficiently characterized. Finally, the excellent agreement between the simulation results and measurements further verifies the accuracy of the proposed model.
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ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2020.3026356