ZTE Communications ›› 2019, Vol. 17 ›› Issue (4): 62-71.doi: 10.12142/ZTECOM.201904009
• Research Paper • Previous Articles Next Articles
HUANG Ziwei1,2, CHENG Xiang1, ZHANG Nan3
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:
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.
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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."
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 |
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