TY - GEN
T1 - Coverage Performance Analysis of Piggyback Mobile IoT in 5G Vehicular Networks
AU - Zhang, Haiying
AU - Li, Yang
AU - He, Chenguang
AU - Meng, Weixiao
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - 5G technology offers a solution to achieve huge capacity and low latency communication between vehicles and road infrastructure in vehicular networks. However, the coverage of 5G signal is significantly reduced due to high frequency band used, which means the original base stations (BSs) deployment cannot complete the task of regional seamless coverage well, especially in suburban areas with few BSs. To overcome this issue, we propose a piggyback mobile Internet of things (PMIoT) scheme to enhance 5G coverage in suburban areas, which the data is connected to 5G BSs through vehicle piggyback information. In addition, we define a new evaluation metric to measure the quality of coverage. The proposed work is simulated in real road network, and the results show that the scheme can significantly enhance 5G coverage in suburban areas with weak BSs deployment.
AB - 5G technology offers a solution to achieve huge capacity and low latency communication between vehicles and road infrastructure in vehicular networks. However, the coverage of 5G signal is significantly reduced due to high frequency band used, which means the original base stations (BSs) deployment cannot complete the task of regional seamless coverage well, especially in suburban areas with few BSs. To overcome this issue, we propose a piggyback mobile Internet of things (PMIoT) scheme to enhance 5G coverage in suburban areas, which the data is connected to 5G BSs through vehicle piggyback information. In addition, we define a new evaluation metric to measure the quality of coverage. The proposed work is simulated in real road network, and the results show that the scheme can significantly enhance 5G coverage in suburban areas with weak BSs deployment.
KW - coverage enhancement
KW - piggy-back mobile Internet of things (PMIoT)
KW - suburban area
UR - https://www.scopus.com/pages/publications/85147011102
U2 - 10.1109/VTC2022-Fall57202.2022.10012957
DO - 10.1109/VTC2022-Fall57202.2022.10012957
M3 - 会议稿件
AN - SCOPUS:85147011102
T3 - IEEE Vehicular Technology Conference
BT - 2022 IEEE 96th Vehicular Technology Conference, VTC 2022-Fall 2022 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 96th IEEE Vehicular Technology Conference, VTC 2022-Fall 2022
Y2 - 26 September 2022 through 29 September 2022
ER -