Citation
Abd. Aziz, Azlan and Mahmud, Azwan and Mamat, Nurul Asyiqin and Amir Hamzah, Nur Asyiqin and Ab. Ghani, Hadhrami (2022) Performance Evaluation of V2V Propagation Channels Under Different Link Types. In: 2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET), 13-15 September 2022, Kota Kinabalu, Malaysia.
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Abstract
Accurate and realistic propagation channel is of paramount requirement in the design of vehicle-to-vehicle (V2V) communications which cover the realistic channel properties and characteristics. Obstructions and propagation link types give significant impact on the communication link and are often ignored in the modelling and analysis of the V2V design and simulation. In this paper, we demonstrate an overview of V2V propagation channel model and wireless channel requirements based on the different link types and obstruction types. We investigate three different environments such as urban, suburban and highway which are in the state of Malacca. We analyze the neighborhood size (defined as the number of vehicles that can communicate with the ego vehicle), received signal power and traffic density under the different environment and link types. The numerical results show that the performance of the V2V communications is directly affected by the link types and the environments. The link quality deterioration is more severe due to the buildings than that due to the vehicles. Majority of the link types are still considered to be line-of-sight (LOS) and this is a promising sign for higher throughput and reliable V2V communication links. This analysis provides insightful planning and modelling foundation in V2V networks.
Item Type: | Conference or Workshop Item (Paper) |
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Uncontrolled Keywords: | Wireless communication, Geometry-based V2V, propagation channel, link types, vehicle obstruction |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television |
Divisions: | Faculty of Engineering (FOE) Faculty of Engineering and Technology (FET) |
Depositing User: | Ms Nurul Iqtiani Ahmad |
Date Deposited: | 09 Jan 2023 01:47 |
Last Modified: | 09 Jan 2023 01:47 |
URII: | http://shdl.mmu.edu.my/id/eprint/10849 |
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