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Directive mmWave radio channel modeling in a ship hull

Published online by Cambridge University Press:  27 July 2021

Brecht De Beelde Open the ORCID record for Brecht De Beelde [Opens in a new window] ,
Andrés Almarcha Lopéz ,
David Plets ,
Marwan Yusuf ,
Emmeric Tanghe  and
Wout Joseph
Brecht De Beelde*
Affiliation:
Ghent University/IMEC, Ghent, Belgium
Andrés Almarcha Lopéz
Affiliation:
Ghent University/IMEC, Ghent, Belgium Barcelona Supercomputing Center, Barcelona, Spain
David Plets
Affiliation:
Ghent University/IMEC, Ghent, Belgium
Marwan Yusuf
Affiliation:
Ghent University/IMEC, Ghent, Belgium
Emmeric Tanghe
Affiliation:
Ghent University/IMEC, Ghent, Belgium
Wout Joseph
Affiliation:
Ghent University/IMEC, Ghent, Belgium
*
Author for correspondence: Brecht De Beelde, E-mail: Brecht.DeBeelde@UGent.be
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Abstract

Wireless connectivity has been realized for multiple environments and different frequency bands. However, little research exists about mmWave communication in industrial environments. This paper presents the 60 GHz double-directional radio channel for mmWave communication in a ship hull for Line-of-Sight (LOS) and non-Line-of-Sight (NLOS) conditions. We performed channel measurements using the Terragraph channel sounder at different locations in the ship hull and fitted LOS path loss to a one-slope path loss model. Path loss and root-mean-square delay spread of the LOS path is compared to the reflected path with lowest path loss. NLOS communication via this first-order reflected path is modeled by calculating the path distance and determining the reflection loss. The reflection losses have a considerable contribution to the signal attenuation of the reflected path. The channel models are implemented in an indoor coverage prediction tool, which was extended with a ray launching algorithm and validated by comparison with an analytical electromagnetic solver. The results show that the mmWave radio channel allows high-throughput communication within a ship hull compartment, even when no LOS path between the transmitter and receiver is present.

Keywords

60 GHzchannel modelingcoverage predictionmmWavepropagationray launchingship hull
Type
EuCAP 2020
Information
International Journal of Microwave and Wireless Technologies , Volume 14 , Special Issue 6: EuCAP 2020 Special Issue , July 2022 , pp. 701 - 712
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Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press in association with the European Microwave Association

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References

Honcharenko, W, Bertoni, H, Dailing, J, Qian, J and Yee, H (1992) Mechanisms governing UHF propagation on single floors in modern office buildings. IEEE Transactions on Vehicular Technology 41, 496–504.10.1109/25.182602CrossRefGoogle Scholar
Choi, J, Kang, N, Sung, Y, Kang, J and Kim, S (2009) Frequency-dependent uwb channel characteristics in office environments. IEEE Transactions on Vehicular Technology 58, 3102–3111.10.1109/TVT.2009.2014070CrossRefGoogle Scholar
Maccartney, GR, Rappaport, TS, Sun, S and Deng, S (2015) Indoor office wideband millimeter-wave propagation measurements and channel models at 28 and 73 ghz for ultra-dense 5 g wireless networks. IEEE Access 3, 2388–2424.10.1109/ACCESS.2015.2486778CrossRefGoogle Scholar
Wu, X, Wang, C, Sun, J, Huang, J, Feng, R, Yang, Y and Ge, X (2017) 60-ghz millimeter-wave channel measurements and modeling for indoor office environments. IEEE Transactions on Antennas and Propagation 65, 1912–1924.10.1109/TAP.2017.2669721CrossRefGoogle Scholar
de Jong, YLC, Pugh, JA, Bennai, M and Bouchard, P (2018) 2.4 to 61 GHz multiband double-directional propagation measurements in indoor office environments. IEEE Transactions on Antennas and Propagation 66, 4806–4820.CrossRefGoogle Scholar
Rubio, O, Torres, RP, Rodrigo Penarrocha, VM, Perez, JR, Fernandez, H, Molina-Garcia-Pardo, J-M and Reig, J (2019) Contribution to the channel path loss and time-dispersion characterization in an office environment at 26 GHz. Electronics 8, 1261.10.3390/electronics8111261CrossRefGoogle Scholar
Pedersen, KI, Mogensen, PE and Fleury, BH (2000) A stochastic model of the temporal and azimuthal dispersion seen at the base station in outdoor propagation environments. IEEE Transactions on Vehicular Technology 49, 437–447.10.1109/25.832975CrossRefGoogle Scholar
Kurner, T and Meier, A (2002) Prediction of outdoor and outdoor-to-indoor coverage in urban areas at 1.8 ghz. IEEE Journal on Selected Areas in Communications 20, 496–506.10.1109/49.995508CrossRefGoogle Scholar
Zhao, X, Kivinen, J, Vainikainen, P and Skog, K (2002) Propagation characteristics for wideband outdoor mobile communications at 5.3 ghz. IEEE Journal on Selected Areas in Communications 20, 507–514.10.1109/49.995509CrossRefGoogle Scholar
Sangodoyin, S, Niranjayan, S and Molisch, AF (2016) A measurement-based model for outdoor near-ground ultrawideband channels’. IEEE Transactions on Antennas and Propagation 64, 740–751.CrossRefGoogle Scholar
Kristem, V, Bas, CU, Wang, R and Molisch, AF (2018) Outdoor wideband channel measurements and modeling in the 3–18 ghz band. IEEE Transactions on Wireless Communications 17, 4620–4633.10.1109/TWC.2018.2828001CrossRefGoogle Scholar
Tanghe, E, Joseph, W, Verloock, L, Martens, L, Capoen, H, Herwegen, KV and Vantomme, W (2008) The industrial indoor channel: large-scale and temporal fading at 900, 2400, and 5200 mhz. IEEE Transactions on Wireless Communications 7, 2740–2751.CrossRefGoogle Scholar
Tanghe, E, Gaillot, DP, Liènard, M, Martens, L and Joseph, W (2014) Experimental analysis of dense multipath components in an industrial environment. IEEE Transactions on Antennas and Propagation 62, 3797–3805.CrossRefGoogle Scholar
Cheffena, M (2016) Propagation channel characteristics of industrial wireless sensor networks. IEEE Antennas and Propagation Magazine 58, 66–73.10.1109/MAP.2015.2501227CrossRefGoogle Scholar
Ai, Y, Andersen, JB and Cheffena, M (2017) Path-loss prediction for an industrial indoor environment based on room electromagnetics. IEEE Transactions on Antennas and Propagation 65, 3664–3674.10.1109/TAP.2017.2702708CrossRefGoogle Scholar
Hur, S, Baek, S, Kim, B, Chang, Y, Molisch, AF, Rappaport, TS, Haneda, K and Park, J (2016) Proposal on millimeter-wave channel modeling for 5 g cellular system. IEEE Journal of Selected Topics in Signal Processing 10, 454–469.CrossRefGoogle Scholar
Rappaport, TS, MacCartney, GR, Sun, S, Yan, H and Deng, S (2017) Small-scale, local area, and transitional millimeter wave propagation for 5 g communications. IEEE Transactions on Antennas and Propagation 65, 6474–6490.10.1109/TAP.2017.2734159CrossRefGoogle Scholar
Rappaport, TS, Xing, Y, MacCartney, GR, Molisch, AF, Mellios, E and Zhang, J (2017) Overview of millimeter wave communications for fifth-generation (5 g) wireless networks–with a focus on propagation models. IEEE Transactions on Antennas and Propagation 65, 6213–6230.CrossRefGoogle Scholar
He, D, Ai, B, Guan, K, Garcìa-Loygorri, JM, Tian, L, Zhong, Z and Hrovat, A (2018) Influence of typical railway objects in a mmwave propagation channel. IEEE Transactions on Vehicular Technology 67, 2880–2892.10.1109/TVT.2017.2782268CrossRefGoogle Scholar
Hemadeh, IA, Satyanarayana, K, El-Hajjar, M and Hanzo, L (2018) Millimeter-wave communications: physical channel models, design considerations, antenna constructions, and link-budget. IEEE Communications Surveys Tutorials 20, 870–913.10.1109/COMST.2017.2783541CrossRefGoogle Scholar
Caudill, D, Papazian, PB, Gentile, C, Chuang, J and Golmie, N (2019) Omnidirectional channel sounder with phased-arrayantennas for 5 g mobile communications. IEEE Transactions on Microwave Theory and Techniques 67, 2936–2945.10.1109/TMTT.2019.2910109CrossRefGoogle Scholar
Virk, UT and Haneda, K (2020) Modeling human blockage at 5g millimeter-wave frequencies. IEEE Transactions on Antennas and Propagation 68, 2256–2266.10.1109/TAP.2019.2948499CrossRefGoogle Scholar
Aslam, MZ, Corre, Y, Belschner, J, Arockiaraj, GS and Jäger, M (2020) Analysis of 60-ghz in-street backhaul channel measurements and lidar ray-based simulations. 2020 14th European Conference on Antennas and Propagation (EuCAP), pp. 1–5.10.23919/EuCAP48036.2020.9135946CrossRefGoogle Scholar
Im, I, Shin, D and Jeong, J (2018) Components for smart autonomous ship architecture based on intelligent information technology. Procedia Computer Science 134, 91–98, the 15th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2018)/The 13th International Conference on Future Networks and Communications (FNC-2018)/Affiliated Workshops. Available at https://www.sciencedirect.com/science/article/pii/S1877050918311116.10.1016/j.procs.2018.07.148CrossRefGoogle Scholar
Electrical installations in ships-part 370: guidance on the selection of cables for telecommunication and data transfer including radio-frequency cables, International Electrotechnical Commission TR 60092-370, Tech. Rep., 2019.Google Scholar
Parker, J (1977) European view of automated vhf/uhf radio systems – marine spectrum usage alternatives and trends. IEEE Journal of Oceanic Engineering 2, 239–242.10.1109/JOE.1977.1145350CrossRefGoogle Scholar
Ohmori, S, Irimata, A, Morikawa, H, Kondo, K, Hase, Y and Miura, S (1985) Characteristics of sea reflection fading in maritime satellite communications. IEEE Transactions on Antennas and Propagation 33, 838–845.10.1109/TAP.1985.1143680CrossRefGoogle Scholar
Cervera, MA and Ginesi, A (2008) On the performance analysis of a satellite-based ais system. 2008 10th International Workshop on Signal Processing for Space Communications, pp. 1–8.10.1109/SPSC.2008.4686715CrossRefGoogle Scholar
Bekkadal, F (2009) Emerging maritime communications technologies. 2009 9th International Conference on Intelligent Transport Systems Telecommunications, (ITST), 358–363.10.1109/ITST.2009.5399329CrossRefGoogle Scholar
Dong, F and Lee, YH (2011) Non-line-of-sight communication links over sea surface at 5.5 ghz. Asia-Pacific Microwave Conference 2011, pp. 1682–1685.Google Scholar
Xu, G, Shen, W and Wang, X (2014) Applications of wireless sensor networks in marine environment monitoring: a survey. Sensors 14, 16932–16954. Available at https://www.mdpi.com/1424-8220/14/9/16932.CrossRefGoogle ScholarPubMed
Balboni, E, Ford, J, Tingley, R, Toomey, K and Vytal, J (2000) An empirical study of radio propagation aboard naval vessels. 2000 IEEE-APS Conference on Antennas and Propagation for Wireless Communications (Cat. No.00EX380), pp. 157–160.10.1109/APWC.2000.900166CrossRefGoogle Scholar
Estes, DRJ, Welch, TB, Sarkady, AA and Whitesel, H (2001) Shipboard radio frequency propagation measurements for wireless networks. 2001 MILCOM Proceedings Communications for Network-Centric Operations: Creating the Information Force (Cat. No.01CH37277), vol. 1, pp. 247–251.10.1109/MILCOM.2001.985798CrossRefGoogle Scholar
De Beelde, B, Tanghe, E, Yusuf, M, Plets, D and Joseph, W (2021) Radio channel modelling in a ship hull: path loss at 868 mhz, 2.4 ghz, 5.25 ghz and 60 ghz. IEEE Antennas and Wireless Propagation Letters 20, 597–601.10.1109/LAWP.2021.3058439CrossRefGoogle Scholar
Brousseau, C, Kdouh, H, Zaharia, G, Grunfeleder, G and Zein, GE (2012) A realistic experiment of a wireless sensor network on board a vessel. 2012 9th International Conference on Communications (COMM), pp. 189–192.Google Scholar
Xu, H, Kukshya, V and Rappaport, TS (2002) Spatial and temporal characteristics of 60-ghz indoor channels. IEEE Journal on Selected Areas in Communications 20, 620–630.10.1109/49.995521CrossRefGoogle Scholar
Moraitis, N and Constantinou, P (2004) Indoor channel measurements and characterization at 60 ghz for wireless local area network applications. IEEE Transactions on Antennas and Propagation 52, 3180–3189.10.1109/TAP.2004.836422CrossRefGoogle Scholar
Haneda, K, Järveläinen, J, Karttunen, A, Kyrö, M and Putkonen, J (2015) A statistical spatio-temporal radio channel model for large indoor environments at 60 and 70 ghz. IEEE Transactions on Antennas and Propagation 63, 2694–2704.10.1109/TAP.2015.2412147CrossRefGoogle Scholar
Zaaimia, MZ, Touhami, R, Talbi, L, Nedil, M and Yagoub, MCE (2016) 60-ghz statistical channel characterization for wireless data centers’. IEEE Antennas and Wireless Propagation Letters 15, 976–979.10.1109/LAWP.2015.2487381CrossRefGoogle Scholar
De Beelde, B, Tanghe, E, Yusuf, M, Plets, D, De Poorter, E and Joseph, W (2020) 60 ghz path loss modelling inside ships. 2020 14th European Conference on Antennas and Propagation (EuCAP), pp. 1–5.10.23919/EuCAP48036.2020.9136047CrossRefGoogle Scholar
Charbonnier, R, Lai, C, Tenoux, T, Caudill, D, Gougeon, G, Senic, J, Gentile, C, Corre, Y, Chuang, J and Golmie, N (2020) Calibration of ray-tracing with diffuse scattering against 28-ghz directional urban channel measurements. IEEE Transactions on Vehicular Technology 69, 14264–14276.CrossRefGoogle Scholar
Yang, H, Herben, MHAJ and Smulders, PFM (2006) Indoor radio channel fading analysis via deterministic simulations at 60 ghz. 2006 3rd International Symposium on Wireless Communication Systems, pp. 144–148.10.1109/ISWCS.2006.4362276CrossRefGoogle Scholar
Maltsev, A, Pudeyev, A, Karls, I, Bolotin, I, Morozov, G, Weiler, R, Peter, M and Keusgen, W (2014) Quasi-deterministic approach to mmwave channel modeling in a non-stationary environment. 2014 IEEE Globecom Workshops (GC Wkshps), pp. 966–971.CrossRefGoogle Scholar
Karstensen, A, Fan, W, Carton, I and Pedersen, GF (2016) Comparison of ray tracing simulations and channel measurements at mmwave bands for indoor scenarios. 2016 10th European Conference on Antennas and Propagation (EuCAP), pp. 1–5.10.1109/EuCAP.2016.7481361CrossRefGoogle Scholar
Zhou, A, Huang, J, Sun, J, Zhu, Q, Wang, C and Yang, Y (2017) 60 ghz channel measurements and ray tracing modeling in an indoor environment. 2017 9th International Conference on Wireless Communications and Signal Processing (WCSP), pp. 1–6.10.1109/WCSP.2017.8170934CrossRefGoogle Scholar
Gentile, C, Papazian, PB, Sun, R, Senic, J and Wang, J (2018) Quasi-deterministic channel model parameters for a data center at 60 ghz. IEEE Antennas and Wireless Propagation Letters 17, 808–812.10.1109/LAWP.2018.2817066CrossRefGoogle Scholar
Garcia Sanchez, S, Mohanti, S, Jaisinghani, D and Chowdhury, KR (2020) Millimeter-wave base stations in the sky: an experimental study of uav-to-ground communications’. IEEE Transactions on Mobile Computing, 1–1.Google Scholar
Tariq, MH, Chondroulis, I, Skartsilas, P, Babu, N and Papadias, CB (2020) mmwave massive mimo channel measurements for fixed wireless and smart city applications. 2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications, pp. 1–6.CrossRefGoogle Scholar
Sanchez, SG and Chowdhury, KR (2021) Robust 60 ghz beamforming for UAVs: Experimental analysis of hovering, blockage and beam selection. IEEE Internet of Things Journal 8, 9838–9854.CrossRefGoogle Scholar
IEEE 802.11ad – IEEEStandard for information technology–telecommunications, information exchange between systems–local and metropolitan area networks–specific requirements-Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications Amendment 3: Enhancements for Very High Throughput in the 60 GHz Band. IEEE Computer Society, 2012.Google Scholar
Plets, D, Joseph, W, Vanhecke, K, Tanghe, E and Martens, L (2012) Coverage prediction and optimization algorithms for indoor environments. EURASIP Journal on Wireless Communications and Networking, 123:1–123:23.Google Scholar
Haibing, Y, Smulders, PFM and Herben, MHAJ (2006) Frequency selectivity of 60-ghz los and nlos indoor radio channels. 2006 IEEE 63rd Vehicular Technology Conference, vol. 6, pp. 2727–2731.CrossRefGoogle Scholar