|Table of Contents|

Wireless channel measurement and typical channel characteristics for intelligent inland navigation communications(PDF)

《交通运输工程学报》[ISSN:1671-1637/CN:61-1369/U]

Issue:
2022年04期
Page:
322-333
Research Field:
交通信息工程及控制
Publishing date:

Info

Title:
Wireless channel measurement and typical channel characteristics for intelligent inland navigation communications
Author(s):
LI Chang-zhen1 CHEN Wei23 WANG Jue4 CHANG Fu-xing1
(1. School of Information Engineering, Wuhan University of Technology, Wuhan 430070, Hubei, China; 2. School of Automation, Wuhan University of Technology, Wuhan 430070, Hubei, China; 3. National Engineering Research Center Water Transport Safety, Wuhan University of Technology, Wuhan 430063, Hubei, China; 4. Forest Fire Brigade in Greater Khingan Mountains, Greater Khingan Mountains 165000, Heilongjiang, China)
Keywords:
inland navigation channel measurement and modeling communication performance channel characteristics network planning
PACS:
U675.7
DOI:
10.19818/j.cnki.1671-1637.2022.04.025
Abstract:
In order to clarify the mechanism of the new generation mobile communication technology in serving intelligent inland navigation, the 4G and 5G temporary wireless communication networks were built based on the development status and special communication environment of wireless communication for inland navigation. With the Wuhan Section of the Yangtze River as an example, the channel measurement work was carried out in typical communication scenarios of inland rivers to explore the influence factors on the wireless communication characteristics of the inland navigations. The channel parameters, such as channel transmission function, received signal strength, and delay, were collected by a high-precision wireless channel sounder. The typical wireless channel characteristics, such as transmission path loss, power delay distribution, delay spread, and Doppler spread, were extracted based on the wireless propagation theory and a tap delay line model. Based on the typical channel characteristic parameters, the effective coverage ranges and transmission rates of 4G and 5G wireless signals in inland river scenarios were predicted, and the multi-path sources and delay distribution of wireless communication for inland navigation were explored. Measurement and analysis results show that bridges, shore buildings, and large passing vessels are the main sources of the multi-path effect of wireless transmission signals in wireless communication for inland navigation. The maximum diffraction loss caused by bridges can reach 18.0 dB. The power attenuations caused by the block of shore buildings and passing vessels can reach 25.0 and 10.6 dB, respectively. The transmission rate of the wireless signals shows that the maximum measurement rate of 4G wireless communication is 95.32 Mb·s-1, while that of 5G communication can reach 0.72 Gb·s-1. In addition, the root mean square delay spread will be increased by about 754.94 ns under the influence of large passing vessels. Therefore, a private wireless communication network should be constructed appropriately according to the special environment of inland river communication, so as to provide better communication support services for intelligent navigation. 6 tabs, 12 figs, 30 refs.

References:

[1] 严新平,刘佳仑,范爱龙,等.智能船舶技术发展与趋势简述[J].船舶工程,2020,42(3):15-20.
YAN Xin-ping, LIU Jia-lun, FAN Ai-long, et al. Brief introduction to the development and trend of intelligent ship technology[J]. Ship Engineering, 2020, 42(3): 15-20.(in Chinese)
[2] 严新平.自主水路交通系统的研究与展望[J].中国水运, 2020(7): 6-7.
YAN Xin-ping. Research and prospect of autonomous waterway transportation system[J]. China Water Transport, 2020(7): 6-7.(in Chinese)
[3] 严新平,张金奋,吴 兵.交通强国战略下水运安全挑战与展望[J].长江技术经济,2018,2(3):39-43.
YAN Xin-ping, ZHANG Jin-fen, WU Bing. Challenges and prospects of waterway shipment safety under the strategy of strength in transportation[J]. Technology and Economy of Changjiang, 2018, 2(3): 39-43.(in Chinese)
[4] ERAS L E C, DA SILVA D K N, BARROS F B, et al. A radio propagation model for mixed paths in Amazon environments for the UHF band[J]. Wireless Communications and Mobile Computing, 2018, 2018: 2850830.
[5] IMOIZE A L, OGUNFUWA T E. Propagation measurements of a 4G LTE network in Lagoon environment[J]. Nigerian Journal of Technological Development, 2019, 16(1): 1-9.
[6] LI C, YU J, CHEN W, et al. Shadowing correlation and a novel statistical model for Inland River radio channel[C]∥IEEE. 2019 IEEE International Conference on Communications. New York: IEEE, 2019: 1-6.
[7] YU J Y, CHEN W, YANG K, et al. Path loss channel model for inland river radio propagation at 1.4 GHz[J]. International Journal of Antennas and Propagation, 2017, 2017: 5853724.
[8] YU J Y, CHEN W, LI F, et al. Channel measurement and modeling of the small-scale fading characteristics for urban inland river environment[J]. IEEE Transactions on Wireless Communications, 2020, 19(5): 3376-3389.
[9] LI C Z, YU J Y, CHEN W, et al. Measurement-based wireless channel analysis and modelling for shipping environments[J]. IET Microwaves, Antennas and Propagation, 2020, 14(8): 812-820.
[10] 孙丽萍.探讨现代通信与信息技术在海事通信中的应用趋势[J].信息通信,2014,27(5):209.
SUN Li-ping. Discussion on the application trend of modern communication and information technology in maritime communication[J]. Information Communication, 2014, 27(5): 209.(in Chinese)
[11] 夏明华,朱又敏,陈二虎,等.海洋通信的发展现状与时代挑战[J].中国科学:信息科学,2017,47(6):667-695.
XIA Ming-hua, ZHU You-min, CHEN Er-hu, et al. The state of the art and challenges of marine communications[J]. Scientia Sinica(Informationis), 2017, 47(6): 667-695.(in Chinese)
[12] VALACGIAC'G S, MRAK Z, GULIAC'G M. Analysis of advantages and disadvantages of existing maritime communication systems for data exchange[J]. Pomorstvo, 2016, 30(1): 28-37.
[13] JO S W,SHIM W S. LTE-maritime: high-speed maritime wireless communication based on LTE technology[J]. IEEE Access, 2019, 7: 53172-53181.
[14] HUO Y M, DONG X D, BEATTY S. Cellular communications in ocean waves for maritime internet of things[J]. IEEE Internet of Things Journal, 2020, 7(10): 9965-9979.
[15] LOPES M J, TEIXEIRA F, MAMEDE J B, et al. Wi-Fi
broadband maritime communications using 5.8 GHz band[C]∥IEEE. 2014 IEEE Underwater Communications and Networking. New York: IEEE, 2014: 1-5.
[16] LI G, GUO S R, LYU J, et al. Introduction to global short message communication service of BeiDou-3 navigation satellite system[J]. Advances in Space Research, 2021, 67(5): 1701-1708.
[17] WANG W, JOST T, RAULEFS R. A semi-deterministic path loss model for in-harbor LoS and NLoS environment [J]. IEEE Transactions on Antennas and Propagation, 2017, 65(12): 7399-7404.
[18] 严忠贞,严新平,马 枫,等.绿色长江航运智能化信息服务系统及其关键技术研究[J].交通信息与安全,2010,29(6):76-81.
YAN Zhong-zhen, YAN Xin-ping, MA Feng, et al. Green Yangtze river, intelligent shipping information system and its key technologies[J]. Journal of Transport Information and Safety, 2010, 29(6): 76-81.(in Chinese)
[19] 严新平,柳晨光.智能航运系统的发展现状与趋势[J].智能系统学报,2016,11(6):807-817.
YAN Xin-ping, LIU Chen-guang. Review and prospect for intelligent waterway transportation system[J]. CAAI Transactions on Intelligent Systems, 2016, 11(6): 807-817.(in Chinese)
[20] YU J Y, ZHANG B, CHEN W, et al. 4G TD-LTE radio coverage model optimization design under complex inland river environment[C]∥IEEE. 2015 IEEE International Conference on Transportation Information and Safety. New York: IEEE, 2015: 442-446.
[21] LI C Z, YU J Y, CHEN W, et al. Measurements and
analysis of vehicular radio channels in the inland lake bridge area[J]. IET Microwaves, Antennas and Propagation, 2019, 13(9): 1394-1401.
[22] 于俊逸.内河场景下的无线信道测量与建模研究[D].武汉:武汉理工大学,2018.
YU Jun-yi. Wireless channel measurements and channel modeling for inland river scenario[D]. Wuhan: Wuhan University of Technology, 2018.(in Chinese)
[23] OKUMURA Y. Field strength and its variability in VHF and UHF land-mobile radio service[J]. Review of the Electrical Communication Laboratory, 1968, 16: 825-873.
[24] HATA M. Empirical formula for propagation loss in land
mobile radio services[J]. IEEE Transactions on Vehicular Technology, 1980, 29(3): 317-325.
[25] ZHANG J K, LIU Y W, GU Y L, et al. Large-scale test of 4G TD-LTE network[C]∥ZHONG Zhi-cai. Proceedings of the 2012 International Conference on Information Engineering and Applications. Berlin: Springer, 2013: 121-128.
[26] MOLISCH A F. Wireless Communications[M]. New York: John Wiley and Sons, 2012.
[27] GOLDSMITH A. Wireless Communications[M]. Cambridge: Cambridge University Press, 2005.
[28] FANG C, ALLEN B, LIU E, et al. Indoor-indoor and
indoor-outdoor propagation trial results at 2.6 GHz[C]∥IEEE. 2012 Loughborough Antennas and Propagation Conference. New York: IEEE, 2012: 1-4.
[29] YANG K, ROSTE T, BEKKADAL F, et al. Experimental multipath delay profile of mobile radio channels over sea at 2 GHz[C]∥IEEE. 2012 Loughborough Antennas and Propagation Conference. New York: IEEE, 2012: 1-4.
[30] YU J Y, CHEN W, LI F, et al. Measurement-based V2V radio channel analysis and modelling for bridge scenarios at 5.9 GHz[J]. IET Communications, 2020, 14(3): 376-386.

Memo

Memo:
-
Last Update: 2022-09-01