Cellular V2X communications in the presence of big vehicle shadowing: performance analysis and mitigation
In Intelligent Transportation Systems (ITS), vehicular networks are enabling technologies for onboard data services such as traffic safety, user infotainment, etc. Vehicular networks face many challenges when it comes to providing satisfactory quality of service, mainly because of issues that arise...
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sg-ntu-dr.10356-1666052023-05-05T15:46:55Z Cellular V2X communications in the presence of big vehicle shadowing: performance analysis and mitigation Nguyen, Hieu T. Md. Noor-A-Rahim Guan, Yong Liang Pesch, Dirk School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering::Wireless communication systems Vehicular Ad Hoc Networks Automobiles Roads Vehicle-to-Everything In Intelligent Transportation Systems (ITS), vehicular networks are enabling technologies for onboard data services such as traffic safety, user infotainment, etc. Vehicular networks face many challenges when it comes to providing satisfactory quality of service, mainly because of issues that arise from unreliable communication in unfavorable propagation conditions. One prime example is Vehicle-to-Vehicle (V2V) communication in the presence of big vehicles that present obstacles in the communication path of smaller vehicles, where the signal strength decays drastically due to the big vehicle shadowing. As a result, the communication range is shortened, and the safety message dissemination capability is reduced. In this paper, we analyze the impact of big vehicle shadowing on V2V communications, taking into account Cellular Vehicle-to-Everything (C-V2X) networks. A geometric as well as a stochastic approach is employed to analyze the length of shadow regions for conventional cars and big vehicles on the road in different scenarios. This paper analyses the effect of large vehicles shadowing on a V2V communication link as a function of the shadow region length. A beamforming-based signal reception technique is proposed in order to mitigate packet collisions caused by hidden nodes. Considering relaying operation by big vehicles, three relaying schemes are proposed to improve the V2V message dissemination performance. Extensive simulations are conducted to demonstrate the effectiveness of the proposed schemes. Agency for Science, Technology and Research (A*STAR) Published version The work of Yong Liang Guan and Hieu T. Nguyen was supported by A*STAR, Singapore through the RIE2020 Advanced Manufacturing and Engineering (AME) Industry Alignment Fund-Pre Positioning (IAF-PP) under Grant A19D6a0053. 2023-05-04T05:39:26Z 2023-05-04T05:39:26Z 2023 Journal Article Nguyen, H. T., Md. Noor-A-Rahim, Guan, Y. L. & Pesch, D. (2023). Cellular V2X communications in the presence of big vehicle shadowing: performance analysis and mitigation. IEEE Transactions On Vehicular Technology, 72(3), 3764-3776. https://dx.doi.org/10.1109/TVT.2022.3212704 0018-9545 https://hdl.handle.net/10356/166605 10.1109/TVT.2022.3212704 2-s2.0-85139856846 3 72 3764 3776 en A19D6a0053 IEEE Transactions on Vehicular Technology © 2023 The Author(s). Published by IEEE. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/. application/pdf |
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Engineering::Electrical and electronic engineering::Wireless communication systems Vehicular Ad Hoc Networks Automobiles Roads Vehicle-to-Everything Nguyen, Hieu T. Md. Noor-A-Rahim Guan, Yong Liang Pesch, Dirk Cellular V2X communications in the presence of big vehicle shadowing: performance analysis and mitigation |
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In Intelligent Transportation Systems (ITS), vehicular networks are enabling technologies for onboard data services such as traffic safety, user infotainment, etc. Vehicular networks face many challenges when it comes to providing satisfactory quality of service, mainly because of issues that arise from unreliable communication in unfavorable propagation conditions. One prime example is Vehicle-to-Vehicle (V2V) communication in the presence of big vehicles that present obstacles in the communication path of smaller vehicles, where the signal strength decays drastically due to the big vehicle shadowing. As a result, the communication range is shortened, and the safety message dissemination capability is reduced. In this paper, we analyze the impact of big vehicle shadowing on V2V communications, taking into account Cellular Vehicle-to-Everything (C-V2X) networks. A geometric as well as a stochastic approach is employed to analyze the length of shadow regions for conventional cars and big vehicles on the road in different scenarios. This paper analyses the effect of large vehicles shadowing on a V2V communication link as a function of the shadow region length. A beamforming-based signal reception technique is proposed in order to mitigate packet collisions caused by hidden nodes. Considering relaying operation by big vehicles, three relaying schemes are proposed to improve the V2V message dissemination performance. Extensive simulations are conducted to demonstrate the effectiveness of the proposed schemes. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Nguyen, Hieu T. Md. Noor-A-Rahim Guan, Yong Liang Pesch, Dirk |
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Article |
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Nguyen, Hieu T. Md. Noor-A-Rahim Guan, Yong Liang Pesch, Dirk |
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Nguyen, Hieu T. |
title |
Cellular V2X communications in the presence of big vehicle shadowing: performance analysis and mitigation |
title_short |
Cellular V2X communications in the presence of big vehicle shadowing: performance analysis and mitigation |
title_full |
Cellular V2X communications in the presence of big vehicle shadowing: performance analysis and mitigation |
title_fullStr |
Cellular V2X communications in the presence of big vehicle shadowing: performance analysis and mitigation |
title_full_unstemmed |
Cellular V2X communications in the presence of big vehicle shadowing: performance analysis and mitigation |
title_sort |
cellular v2x communications in the presence of big vehicle shadowing: performance analysis and mitigation |
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2023 |
url |
https://hdl.handle.net/10356/166605 |
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1770564191713755136 |