Impact of Dynamic Traffic on Vehicle-to-Vehicle Visible Light Communication Systems
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This paper studies the impact of dynamic vehicular traffic density on the signal-to-noise-ratio (SNR) and the
associated bit-error-rate (BER) performance of vehicle-to-vehicle
visible light communication (V2V-VLC) systems. The study uses
traffic data from the M42 and M6 motorways in the UK to
investigate the probability of co-existence of other vehicles in the
adjacent lanes which induce interference and act as potential
reflectors. The results show that the probability of co-existence
of other vehicles in the adjacent lanes is lane-independent and
it increases during the rush hours to 90%, while it decays to
less than 10% during the off-peak and early morning hours. The
inter-vehicular distance and the BER performance vary widely
between different lanes and different periods of the day. The
results also show that the BER performance of V2V-VLC system
with non-line-of-sight (NLOS) component and with line-of-sight
(LOS) component are comparable at rush hours. However, high
BER values are predicted during the off-peak hours for NLOS
components of the channel.
associated bit-error-rate (BER) performance of vehicle-to-vehicle
visible light communication (V2V-VLC) systems. The study uses
traffic data from the M42 and M6 motorways in the UK to
investigate the probability of co-existence of other vehicles in the
adjacent lanes which induce interference and act as potential
reflectors. The results show that the probability of co-existence
of other vehicles in the adjacent lanes is lane-independent and
it increases during the rush hours to 90%, while it decays to
less than 10% during the off-peak and early morning hours. The
inter-vehicular distance and the BER performance vary widely
between different lanes and different periods of the day. The
results also show that the BER performance of V2V-VLC system
with non-line-of-sight (NLOS) component and with line-of-sight
(LOS) component are comparable at rush hours. However, high
BER values are predicted during the off-peak hours for NLOS
components of the channel.
Keywords
- Dynamic traffic conditions, Dynamic vehicular traffic density, vehicular communication channel model, vehicular communications, visible light communication (VLC)
Original language | English |
---|---|
Pages (from-to) | 3512-3521 |
Journal | IEEE Systems Journal |
Volume | 16 |
Issue number | 3 |
Early online date | 17 Aug 2021 |
DOIs | |
Publication status | Published - Sept 2022 |
Externally published | Yes |
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