AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (2.3 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Open Access

Intelligent Transportation System Performance Analysis of Indoor and Outdoor Internet of Vehicle (IoV) Applications towards 5G

Department of Electronics and Communication Engineering, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Ghaziabad 201204, India
Show Author Information

Abstract

The Internet of Vehicles (IoVs) has seen rapid development due to advances in advanced communication technologies. The 5-th Generation (5G) systems will be integrated into next-generation vehicles, enabling them to operate more efficiently by cooperating with the environment. The millimeter Wave (mmWave) technology is projected to provide a large bandwidth to meet future needs for more effective data rate communications. A viable approach for transferring raw sensor data among autonomous vehicles would be to use mmWave communication. This paper attracts various research interests in academic, indoor, and outdoor mmWave operations. This paper presents mmWave propagation measurements for indoor and outdoor at 66 GHz frequency for IoVs scenarios. The proposed model examines the equivalent path loss using Free-Space Path Loss (FSPL) based on the transmitter and receiver distances for indoor and outdoor communications of the vehicles. In the indoor scenario, path loss propagation has the lowest penetration loss, but it is ineffective in the outdoor scenario because distance increases as free space path loss increases. The probability of error is increased, concerning the transmitter and receiver distances due to propagation effect, packet collisions, busy receiver, and sensing threshold. The proposed methodology shows a higher packet delivery ratio and average throughput with less delay in the connection during transmission.

References

[1]

Z. Pi and F. Khan, An introduction to millimeter-wave mobile broadband systems, IEEE Commun. Mag., vol. 49, no. 6, pp. 101–107, 2011.

[2]

A. N. Uwaechia and N. M. Mahyuddin, A comprehensive survey on millimeter wave communications for fifth-generation wireless networks: Feasibility and challenges, IEEE Access, vol. 8, pp. 62367–62414, 2020.

[3]

M. R. Akdeniz, Y. Liu, M. K. Samimi, S. Sun, S. Rangan, T. S. Rappaport, and E. Erkip, Millimeter wave channel modeling and cellular capacity evaluation, IEEE J. Select. Areas Commun., vol. 32, no. 6, pp. 1164–1179, 2014.

[4]

T. S. Rappaport, Y. Xing, G. R. MacCartney, A. F. Molisch, E. Mellios, and J. Zhang, Overview of millimeter wave communications for fifth-generation (5G) wireless networks—With a focus on propagation models, IEEE Trans. Antennas Propag., vol. 65, no. 12, pp. 6213–6230, 2017.

[5]

C. X. Wang, J. Bian, J. Sun, W. Zhang, and M. Zhang, A survey of 5G channel measurements and models, IEEE Commun. Surv. Tutor., vol. 20, no. 4, pp. 3142–3168, 2018.

[6]

M. Mezzavilla, M. Polese, A. Zanella, A. Dhananjay, S. Rangan, C. Kessler, T. S. Rappaport, and M. Zorzi, Public safety communications above 6 GHz: Challenges and opportunities, IEEE Access, vol. 6, pp. 316–329, 2018.

[7]

A. M. Al-Samman, T. A. Rahman, M. H. Azmi, M. N. Hindia, I. Khan, and E. Hanafi, Statistical modelling and characterization of experimental mm-wave indoor channels for future 5G wireless communication networks, PLoS One, vol. 11, no. 9, p. e0163034, 2016.

[8]
S. Sun, G. R. MacCartney, and T. S. Rappaport, Millimeter-wave distance-dependent large-scale propagation measurements and path loss models for outdoor and indoor 5G systems, in Proc. 2016 10th European Conf. Antennas and Propagation (EuCAP), Davos, Switzerland, 2016, pp. 1–5.
[9]

X. Zhao, S. Li, Q. Wang, M. Wang, S. Sun, and W. Hong, Channel measurements, modeling, simulation and validation at 32 GHz in outdoor microcells for 5G radio systems, IEEE Access, vol. 5, pp. 1062–1072, 2017.

[10]

K. Zhao, C. Gustafson, Q. Liao, S. Zhang, T. Bolin, Z. Ying, and S. He, Channel characteristics and user body effects in an outdoor urban scenario at 15 and 28 GHz, IEEE Trans. Antennas Propag., vol. 65, no. 12, pp. 6534–6548, 2017.

[11]
M. M. Abdulwahid, O. A. S. Al-Ani, M. F. Mosleh, and R. A. Abd-Alhmeed, A comparison between different C-band and mmWave band frequencies for indoor communication, J. Commun., vol. 14, no. 10, pp. 892–899, 2019.
[12]

F. Qamar, M. N. Hindia, T. Abbas, K. B. Dimyati, and I. S. Amiri, Investigation of QoS performance evaluation over 5G network for indoor environment at millimeter wave bands, Int. J. Electron. Telecommun., vol. 65, no. 1, pp. 95–101, 2019.

[13]

Z. Zhong, J. Zhao, and C. Li, Outdoor-to-indoor channel measurement and coverage analysis for 5G typical spectrums, Int. J. Antennas Propag., vol. 2019, pp. 1–10, 2019.

[14]

S. Song, Y. Zhu, S. Luo, J. Hou, S. Du, and Y. Song, Millimeter wave based 3D clustered MIMO channel modeling and system simulation for vehicle-to-vehicle communication, Phys. Commun., vol. 40, p. 101073, 2020.

[15]

I. Rasheed, An effective approach for initial access in 5G-millimeter wave-based Vehicle to Everything (V2X) communication using Improved Genetic Algorithm, Phys. Commun., vol. 52, p. 101619, 2022.

[16]

Z. Khan, S. M. Khan, M. Chowdhury, M. Rahman, and M. Islam, Performance evaluation of 5G millimeter-wave-based vehicular communication for connected vehicles, IEEE Access, vol. 10, pp. 31031–31042, 2022.

[17]

K. Matrouk, Y. Trabelsi, V. Gomathy, U. Arun Kumar, C. R. Rathish, and P. Parthasarathy, Energy efficient data transmission in intelligent transportation system (ITS): Millimeter (mm wave) based routing algorithm for connected vehicles, Optik, vol. 273, p. 170374, 2023.

[18]
Z. Zhou and M. Li, Deep reinforcement learning based edge-enabled vehicle to everything service placement for 5G millimeter wave, in Proc. 2023 2nd Int. Conf. Networks, Communications and Information Technology, Xining, China, 2023, pp. 138–142.
[19]
P. Wu, X. Li, H. Zheng, K. Wang, J. Qin, and M. Tang, 3D modeling and analysis of cooperative perception-oriented millimeter-wave V2I networks with information value-based relay, IEEE Trans. Veh. Technol., vol. 72, no. 8, pp. 10505–10520, 2023.
[20]

E. Benalia, S. Bitam, and A. Mellouk, Data dissemination for Internet of vehicle based on 5G communications: A survey, Trans. Emerg. Telecommun. Technol., vol. 31, no. 5, p. e3881, 2020.

[21]
Y. Fu, C. X. Wang, X. Mao, J. Huang, Z. Zhao, and S. McLaughlin, Spectrum-energy-economy efficiency analysis of B5G wireless communication systems with separated indoor/outdoor scenarios, IEEE Trans. Wirel. Commun., vol. 22, no. 12, pp. 9718–9731, 2023.
[22]

L. Liang, W. Xu, and X. Dong, Low-complexity hybrid precoding in massive multiuser MIMO systems, IEEE Wirel. Commun. Lett., vol. 3, no. 6, pp. 653–656, 2014.

[23]

T. E. Bogale, L. B. Le, A. Haghighat, and L. Vandendorpe, On the number of RF chains and phase shifters, and scheduling design with hybrid analog–digital beamforming, IEEE Trans. Wirel. Commun., vol. 15, no. 5, pp. 3311–3326, 2016.

[24]
Ö. T. Demir and T. E. Tuncer, Hybrid beamforming with two bit RF phase shifters in single group multicasting, in Proc. 2016 IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP), Shanghai, China, 2016, pp. 3271–3275.
[25]

F. Sohrabi and W. Yu, Hybrid digital and analog beamforming design for large-scale antenna arrays, IEEE J. Sel. Top. Signal Process., vol. 10, no. 3, pp. 501–513, 2016.

[26]

D. Zhu, B. Li, and P. Liang, A novel hybrid beamforming algorithm with unified analog beamforming by subspace construction based on partial CSI for massive MIMO-OFDM systems, IEEE Trans. Commun., vol. 65, no. 2, pp. 594–607, 2017.

[27]

A. Morsali, A. Haghighat, and B. Champagne, Realizing fully digital precoders in hybrid A/D architecture with minimum number of RF chains, IEEE Commun. Lett., vol. 21, no. 10, pp. 2310–2313, 2017.

[28]

Z. Wang, M. Li, Q. Liu, and A. L. Swindlehurst, Hybrid precoder and combiner design with low-resolution phase shifters in mmWave MIMO systems, IEEE J. Sel. Top. Signal Process., vol. 12, no. 2, pp. 256–269, 2018.

[29]
Y. Xiao, Y. Xiao, F. Yu, Y. Li, Y. Wang, and B. Fu, Hybrid beamforming for large-scale MIMO-OFDM in frequency selective fading, in Proc. 2018 Int. Symp. on Networks, Computers and Communications (ISNCC), Rome, Italy, 2018, pp. 1–4.
[30]
S. Osman and M. M. Mowla, Low-complexity hybrid precoding analysis in 5G massive multiuser MIMO systems, in Proc. 2019 5th Int. Conf. Advances in Electrical Engineering (ICAEE), Dhaka, Bangladesh, 2019, pp. 774–777.
[31]

Y. Zhang, J. Du, Y. Chen, X. Li, K. M. Rabie, and R. Kharel, Near-optimal design for hybrid beamforming in mmWave massive multi-user MIMO systems, IEEE Access, vol. 8, pp. 129153–129168, 2020.

[32]
A. Hozouri, A. Mirzaei, S. RazaghZadeh, and D. Yousefi, An overview of VANET vehicular networks, arXiv preprint arXiv: 2309.06555, 2023.
[33]

Z. Gong, F. Jiang, and C. Li, Angle domain channel tracking with large antenna array for high mobility V2I millimeter wave communications, IEEE J. Sel. Top. Signal Process., vol. 13, no. 5, pp. 1077–1089, 2019.

[34]

M. A. S. Sejan and W. Y. Chung, Performance analysis of a long-range MIMO VLC system for indoor IoT, IEEE Internet Things J., vol. 10, no. 8, pp. 6999–7010, 2023.

[35]

G. R. MacCartney, T. S. Rappaport, S. Sun, and S. Deng, Indoor office wideband millimeter-wave propagation measurements and channel models at 28 and 73 GHz for ultra-dense 5G wireless networks, IEEE Access, vol. 3, pp. 2388–2424, 2015.

[36]

T. S. Rappaport, G. R. MacCartney, M. K. Samimi, and S. Sun, Wideband millimeter-wave propagation measurements and channel models for future wireless communication system design, IEEE Trans. Commun., vol. 63, no. 9, pp. 3029–3056, 2015.

[37]
B. Mondal, T. Thomas, E. Visotsky, F. Vook, A. Ghosh, Y. H. Nam, Y. Li, J. Zhang, M. Zhang, Q. Luo, et al., 3D channel model in 3GPP, IEEE Commun. Mag., vol. 53, no. 3, pp. 16–23, 2015.
Tsinghua Science and Technology
Pages 1785-1795
Cite this article:
Rani P, Sharma R. Intelligent Transportation System Performance Analysis of Indoor and Outdoor Internet of Vehicle (IoV) Applications towards 5G. Tsinghua Science and Technology, 2024, 29(6): 1785-1795. https://doi.org/10.26599/TST.2023.9010119

669

Views

284

Downloads

0

Crossref

1

Web of Science

0

Scopus

0

CSCD

Altmetrics

Received: 25 July 2023
Revised: 23 September 2023
Accepted: 12 October 2023
Published: 20 June 2024
© The Author(s) 2024.

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).

Return