TY - GEN
T1 - Performance evaluation for LTE-V based vehicle-to-vehicle platooning communication
AU - Yu, Tao
AU - Zhang, Shunqing
AU - Cao, Shan
AU - Xu, Shugong
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - With the raising demand for autonomous driving, vehicle-to-vehicle communications becomes a key technology enabler for the future intelligent transportation system. Based on our current knowledge field, there is limited network simulator that can support end-to-end performance evaluation for LTE-V based vehicle-to-vehicle platooning systems. To address this problem, we start with an integrated platform that combines traffic generator and network simulator together, and build the V2V transmission capability according to LTE-V specification. On top of that, we simulate the end-to-end throughput and delay profiles in different layers to compare different configurations of platooning systems. Through numerical experiments, we show that the LTE-V system is unable to support the highest degree of automation under shadowing effects in the vehicle platooning scenarios, which requires ultra-reliable low-latency communication enhancement in 5G networks. Meanwhile, the throughput and delay performance for vehicle platooning changes dramatically in PDCP layers, where we believe further improvements are necessary.
AB - With the raising demand for autonomous driving, vehicle-to-vehicle communications becomes a key technology enabler for the future intelligent transportation system. Based on our current knowledge field, there is limited network simulator that can support end-to-end performance evaluation for LTE-V based vehicle-to-vehicle platooning systems. To address this problem, we start with an integrated platform that combines traffic generator and network simulator together, and build the V2V transmission capability according to LTE-V specification. On top of that, we simulate the end-to-end throughput and delay profiles in different layers to compare different configurations of platooning systems. Through numerical experiments, we show that the LTE-V system is unable to support the highest degree of automation under shadowing effects in the vehicle platooning scenarios, which requires ultra-reliable low-latency communication enhancement in 5G networks. Meanwhile, the throughput and delay performance for vehicle platooning changes dramatically in PDCP layers, where we believe further improvements are necessary.
KW - LTE-V
KW - NS-3
KW - platooning
KW - SUMO
UR - http://www.scopus.com/inward/record.url?scp=85062853733&partnerID=8YFLogxK
U2 - 10.1109/APCC.2018.8633551
DO - 10.1109/APCC.2018.8633551
M3 - Conference Proceeding
AN - SCOPUS:85062853733
T3 - 2018 24th Asia-Pacific Conference on Communications, APCC 2018
SP - 15
EP - 20
BT - 2018 24th Asia-Pacific Conference on Communications, APCC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 24th Asia-Pacific Conference on Communications, APCC 2018
Y2 - 12 November 2018 through 14 November 2018
ER -