Analysis and Evaluation of Random Access Transmission for UAV-Assisted Vehicular-to-Infrastructure Communications
In this paper, we propose a random access protocol for vehicular-to-infrastructure communications. We consider the case where an unmanned aerial vehicle (UAV) provides assistance to a roadside unit to enhance the system throughput. In a traditional carrier sense multiple access schemes (CSMA), the v...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2019-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/8611147/ |
| _version_ | 1818618785245954048 |
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| author | Zeeshan Shafiq Rana Abbas Mohammad Haseeb Zafar Mohammed Basheri |
| author_facet | Zeeshan Shafiq Rana Abbas Mohammad Haseeb Zafar Mohammed Basheri |
| author_sort | Zeeshan Shafiq |
| collection | DOAJ |
| description | In this paper, we propose a random access protocol for vehicular-to-infrastructure communications. We consider the case where an unmanned aerial vehicle (UAV) provides assistance to a roadside unit to enhance the system throughput. In a traditional carrier sense multiple access schemes (CSMA), the vehicle senses the channel first and it does not transmit the data until the channel is free. However, the CSMA has been shown to be often wasteful of resources and includes potentially unbounded channel access delays in dense networks. In this paper, we use the capture effect, where collisions can be resolved, provided the signal-to-interference-plus-noise ratio is larger than a predetermined threshold. Moreover, we show that the access probability of the vehicles can be optimized based on the known density of the network to maximize throughput. Based on the proposed random access protocol, we model the behavior of the vehicles using a two-dimensional Markov chain and derive the expression for the average system throughput. Finally, we propose two transmission power control schemes to further enhance system throughput. We present extensive simulation results to show that the UAV can provide 9%-38% improvement in throughput for variable network densities. |
| first_indexed | 2024-12-16T17:27:06Z |
| format | Article |
| id | doaj.art-734ba4d709c04fe19f24f6d7b74deca0 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-16T17:27:06Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-734ba4d709c04fe19f24f6d7b74deca02022-12-21T22:23:01ZengIEEEIEEE Access2169-35362019-01-017124271244010.1109/ACCESS.2019.28927768611147Analysis and Evaluation of Random Access Transmission for UAV-Assisted Vehicular-to-Infrastructure CommunicationsZeeshan Shafiq0https://orcid.org/0000-0002-6888-5111Rana Abbas1Mohammad Haseeb Zafar2https://orcid.org/0000-0001-5637-4798Mohammed Basheri3Electrical Engineering Department, University of Engineering and Technology at Peshawar, Peshawar, PakistanSchool of Electrical and Information Engineering, The University of Sydney, Sydney, NSW, AustraliaElectrical Engineering Department, University of Engineering and Technology at Peshawar, Peshawar, PakistanDepartment of IT, King Abdulaziz University, Jeddah, Saudi ArabiaIn this paper, we propose a random access protocol for vehicular-to-infrastructure communications. We consider the case where an unmanned aerial vehicle (UAV) provides assistance to a roadside unit to enhance the system throughput. In a traditional carrier sense multiple access schemes (CSMA), the vehicle senses the channel first and it does not transmit the data until the channel is free. However, the CSMA has been shown to be often wasteful of resources and includes potentially unbounded channel access delays in dense networks. In this paper, we use the capture effect, where collisions can be resolved, provided the signal-to-interference-plus-noise ratio is larger than a predetermined threshold. Moreover, we show that the access probability of the vehicles can be optimized based on the known density of the network to maximize throughput. Based on the proposed random access protocol, we model the behavior of the vehicles using a two-dimensional Markov chain and derive the expression for the average system throughput. Finally, we propose two transmission power control schemes to further enhance system throughput. We present extensive simulation results to show that the UAV can provide 9%-38% improvement in throughput for variable network densities.https://ieeexplore.ieee.org/document/8611147/Vehicular and wireless technologiesunmanned aerial vehicleswireless communicationwireless networkCSMAMarkov chain |
| spellingShingle | Zeeshan Shafiq Rana Abbas Mohammad Haseeb Zafar Mohammed Basheri Analysis and Evaluation of Random Access Transmission for UAV-Assisted Vehicular-to-Infrastructure Communications IEEE Access Vehicular and wireless technologies unmanned aerial vehicles wireless communication wireless network CSMA Markov chain |
| title | Analysis and Evaluation of Random Access Transmission for UAV-Assisted Vehicular-to-Infrastructure Communications |
| title_full | Analysis and Evaluation of Random Access Transmission for UAV-Assisted Vehicular-to-Infrastructure Communications |
| title_fullStr | Analysis and Evaluation of Random Access Transmission for UAV-Assisted Vehicular-to-Infrastructure Communications |
| title_full_unstemmed | Analysis and Evaluation of Random Access Transmission for UAV-Assisted Vehicular-to-Infrastructure Communications |
| title_short | Analysis and Evaluation of Random Access Transmission for UAV-Assisted Vehicular-to-Infrastructure Communications |
| title_sort | analysis and evaluation of random access transmission for uav assisted vehicular to infrastructure communications |
| topic | Vehicular and wireless technologies unmanned aerial vehicles wireless communication wireless network CSMA Markov chain |
| url | https://ieeexplore.ieee.org/document/8611147/ |
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