Impact of Dynamic Traffic on Vehicle-to-Vehicle Visible Light Communication Systems

Research output: Contribution to journalArticlepeer-review

Standard Standard

Impact of Dynamic Traffic on Vehicle-to-Vehicle Visible Light Communication Systems. / Alsalami, Farah Mahdi ; Haas, Olivier; Al-Kinani, Ahmed et al.
In: IEEE Systems Journal, Vol. 16, No. 3, 09.2022, p. 3512-3521.

Research output: Contribution to journalArticlepeer-review

HarvardHarvard

Alsalami, FM, Haas, O, Al-Kinani, A, Wang, C-X, Ahmad, Z & Rajbhandari, S 2022, 'Impact of Dynamic Traffic on Vehicle-to-Vehicle Visible Light Communication Systems', IEEE Systems Journal, vol. 16, no. 3, pp. 3512-3521. https://doi.org/10.1109/JSYST.2021.3100257

APA

Alsalami, F. M., Haas, O., Al-Kinani, A., Wang, C.-X., Ahmad, Z., & Rajbhandari, S. (2022). Impact of Dynamic Traffic on Vehicle-to-Vehicle Visible Light Communication Systems. IEEE Systems Journal, 16(3), 3512-3521. https://doi.org/10.1109/JSYST.2021.3100257

CBE

Alsalami FM, Haas O, Al-Kinani A, Wang C-X, Ahmad Z, Rajbhandari S. 2022. Impact of Dynamic Traffic on Vehicle-to-Vehicle Visible Light Communication Systems. IEEE Systems Journal. 16(3):3512-3521. https://doi.org/10.1109/JSYST.2021.3100257

MLA

VancouverVancouver

Alsalami FM, Haas O, Al-Kinani A, Wang CX, Ahmad Z, Rajbhandari S. Impact of Dynamic Traffic on Vehicle-to-Vehicle Visible Light Communication Systems. IEEE Systems Journal. 2022 Sept;16(3):3512-3521. Epub 2021 Aug 17. doi: https://doi.org/10.1109/JSYST.2021.3100257

Author

Alsalami, Farah Mahdi ; Haas, Olivier ; Al-Kinani, Ahmed et al. / Impact of Dynamic Traffic on Vehicle-to-Vehicle Visible Light Communication Systems. In: IEEE Systems Journal. 2022 ; Vol. 16, No. 3. pp. 3512-3521.

RIS

TY - JOUR

T1 - Impact of Dynamic Traffic on Vehicle-to-Vehicle Visible Light Communication Systems

AU - Alsalami, Farah Mahdi

AU - Haas, Olivier

AU - Al-Kinani, Ahmed

AU - Wang, Cheng-Xiang

AU - Ahmad, Zahir

AU - Rajbhandari, Sujan

PY - 2022/9

Y1 - 2022/9

N2 - This paper studies the impact of dynamic vehicular traffic density on the signal-to-noise-ratio (SNR) and theassociated bit-error-rate (BER) performance of vehicle-to-vehiclevisible light communication (V2V-VLC) systems. The study usestraffic data from the M42 and M6 motorways in the UK toinvestigate the probability of co-existence of other vehicles in theadjacent lanes which induce interference and act as potentialreflectors. The results show that the probability of co-existenceof other vehicles in the adjacent lanes is lane-independent andit increases during the rush hours to 90%, while it decays toless than 10% during the off-peak and early morning hours. Theinter-vehicular distance and the BER performance vary widelybetween different lanes and different periods of the day. Theresults also show that the BER performance of V2V-VLC systemwith non-line-of-sight (NLOS) component and with line-of-sight(LOS) component are comparable at rush hours. However, highBER values are predicted during the off-peak hours for NLOScomponents of the channel.

AB - This paper studies the impact of dynamic vehicular traffic density on the signal-to-noise-ratio (SNR) and theassociated bit-error-rate (BER) performance of vehicle-to-vehiclevisible light communication (V2V-VLC) systems. The study usestraffic data from the M42 and M6 motorways in the UK toinvestigate the probability of co-existence of other vehicles in theadjacent lanes which induce interference and act as potentialreflectors. The results show that the probability of co-existenceof other vehicles in the adjacent lanes is lane-independent andit increases during the rush hours to 90%, while it decays toless than 10% during the off-peak and early morning hours. Theinter-vehicular distance and the BER performance vary widelybetween different lanes and different periods of the day. Theresults also show that the BER performance of V2V-VLC systemwith non-line-of-sight (NLOS) component and with line-of-sight(LOS) component are comparable at rush hours. However, highBER values are predicted during the off-peak hours for NLOScomponents of the channel.

KW - Dynamic traffic conditions

KW - Dynamic vehicular traffic density

KW - vehicular communication channel model

KW - vehicular communications

KW - visible light communication (VLC)

U2 - https://doi.org/10.1109/JSYST.2021.3100257

DO - https://doi.org/10.1109/JSYST.2021.3100257

M3 - Article

VL - 16

SP - 3512

EP - 3521

JO - IEEE Systems Journal

JF - IEEE Systems Journal

IS - 3

ER -