An Improved Non-Geometrical Stochastic Model for Non-WSSUS Vehicle-to-Vehicle Channels

doi:10.12142/ZTECOM.201904009

ZTE Communications ›› 2019, Vol. 17 ›› Issue (4): 62-71.DOI: 10.12142/ZTECOM.201904009

• Research Paper • Previous Articles Next Articles

An Improved Non-Geometrical Stochastic Model for Non-WSSUS Vehicle-to-Vehicle Channels

HUANG Ziwei^1,², CHENG Xiang¹, ZHANG Nan³

^1.State Key Laboratory of Advanced Optical Communication Systems and Networks, School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, China
^2.Key Laboratory of Wireless Sensor Network & Communication, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China
^3.Wireless Algorithm Department, Product Research and Development System, ZTE Corporation, Shanghai 201203, China

Received:2019-03-17 Online:2019-12-25 Published:2020-04-16
About author:HUANG Ziwei is currently pursuing the Ph. D. degree in signal and information processing with the Modern Communications Research Institute, Peking University, China. His research interests include the channel modeling and wireless communications.|CHENG Xiang (xiangcheng@pku.edu.cn) is currently a Professor at Peking University. His general research interests are in areas of channel modeling, wireless communications and data analytics. He has published more than 200 journal and conference papers, 5 books and 6 patents. Dr. Cheng was the recipient of the IEEE Asia Pacific (AP) Outstanding Young Researcher Award in 2015, the co-recipient for the 2016 IEEE JSAC Best Paper Award: Leonard G. Abraham Prize, the NSFC Outstanding Young Investigator Award, the both First-Rank and Second-Rank Award in Natural Science, Ministry of Education in China. He has also received the Best Paper Awards at IEEE ITST’12, ICCC’13, ITSC’14, ICC’16, and ICNC'17. He has served as Symposium Leading-Chair, Co-Chair, and a Member of the Technical Program Committee for several international conferences. He is currently an Associate Editor for IEEE Transactions on Intelligent Transportation Systems and Journal of Communications and Information Networks.|ZHANG Nan received the bachelor degree in communication engineering and the Master degree in integrated circuit engineering from Tongji University, Shanghai, China, in July 2012 and March 2015, respectively. He is now a Senior Engineer at the Department of Algorithms, ZTE Corporation. His current research interests are in the field of 5G channel modeling, new air-interface and MIMO techniques.
Supported by:
This work was in part supported by the Ministry National Key Research and Development Project(2017YFE0121400);the open research fund of Key Laboratory of Wireless Sensor Network & Communication(2017003);Shanghai Institute of Microsystem and Information Technology, and Chinese Academy of Sciences

Abstract

Abstract:

A novel non-geometrical stochastic model (NGSM) for non-wide sense stationary uncorrelated scattering (non-WSSUS) vehicle-to-vehicle (V2V) channels is proposed. This model is based on a conventional NGSM and employs a more accurate method to reproduce the realistic characteristics of V2V channels, which successfully extends the existing NGSM to include the line-of-sight (LoS) component. Moreover, the statistical properties of the proposed model in different scenarios, including Doppler power spectral density (PSD), power delay profile (PDP), and the tap correlation coefficient matrix are simulated and compared with those of the existing NGSM. Furthermore, the simulation results demonstrate not only the utility of the proposed model, but also the correctness of our theoretical derivations.

Key words: vehicle-to-vehicle, non-WSSUS channels, non-geometrical stochastic model, LoS component, statistical properties

HUANG Ziwei, CHENG Xiang, ZHANG Nan. An Improved Non-Geometrical Stochastic Model for Non-WSSUS Vehicle-to-Vehicle Channels[J]. ZTE Communications, 2019, 17(4): 62-71.

Figures/Tables 8

Figure 1 Generating correlated complex Gaussian stochastic variables.

Figure 2 The constriction steps of the NGSM [8] (V is an independent and identical complex Gaussian stochastic variable, and Z is a post-operation such as a persistence process).

Figure 3 The constriction steps of the improved model (V is an independent and identical complex Gaussian stochastic variable, and Z is a post-operation such as a persistence process).

Figure 4 The Doppler PSD of different models for different scenarios. (a) Doppler PSD of the model in [8] for S scenario; (b) Doppler PSD of the improved model for S scenario; (c) Doppler PSD of the model in [8] for OHT scenario; (d) Doppler PSD of the improved model for OHT scenario; (e) Doppler PSD of the model in [8] for UIC scenario; (f) Doppler PSD of the improved model for UIC scenario; (g) Doppler PSD of the model in [8] for OLT scenario; (h) Doppler PSD of the improved model for OLT scenario; (i) Doppler PSD of the model in [8] for UOC scenario; (j) Doppler PSD of the improved model for UOC scenario.

Figure 5 The Doppler PSD of different models. (a) (b) Doppler PSD of the improved model; (c) (d) Doppler PSD of the model in [7].

Table 1 Correlation matrices of the non-geometrical stochastic model (NGSM) in [8] and improved model for scenario UIC (lower/upper triangular part: improved model/ NGSM in [8])

i , j	1	2	3	4	5	6	7
1	1.0000	0.1989	0.0555	0.0481	0.0977	0.1074	0.3504
2	0.1965	1.0000	0.1477	0.1495	0.0974	0.2329	0.1999
3	0.0573	0.1411	1.0000	0.2298	0.0106	0.1368	0.1496
4	0.0474	0.1350	0.2342	1.0000	0.2189	0.2088	0.1143
5	0.1066	0.0976	0.0152	0.2092	1.0000	0.1600	0.0000
6	0.1159	0.2363	0.1512	0.1977	0.1524	1.0000	0.2600
7	0.3249	0.1938	0.1442	0.1211	0.0012	0.2600	1.0000

Figure 6 PDP of the NGSM in [8] and the improved model for each scenario.

Table 2. Comparison of the NGSM in [8] and the improved model

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An Improved Non-Geometrical Stochastic Model for Non-WSSUS Vehicle-to-Vehicle Channels

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