TY - GEN
T1 - Reliability Performance of Transmitter Selection in Wireless Vehicular Networks
AU - Tang, Zhifeng
AU - Sun, Zhuo
AU - Li, Chunhui
AU - Yang, Nan
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/8/9
Y1 - 2020/8/9
N2 - In this paper, we propose a novel and simple transmitter selection criterion to enhance the reliability performance of downlink transmission in a wireless vehicular network. In this network, the Manhattan-type urban street model is adopted such that the location of horizontal and vertical streets is generated by two independent and identical Poisson Point Processes (PPPs). Moreover, the location of vehicles on each street is modeled by a one-dimensional PPP and base stations (BSs) are located at the intersection of streets. According to the proposed criterion, the vehicle receives signals from either the nearest front vehicle via dedicated short range communications or the nearest front BS via cellular communications. Considering the generalized Nakagami-m fading, we derive a new easy-to-compute expression for the coverage probability of the signal-interference-plus-noise ratio of the vehicle at the origin. Aided by numerical results, we demonstrate the accuracy of the derived expression and explicitly show the performance advantage of the proposed criterion. In addition, we find that there is an optimal vehicle intensity to maximize the coverage probability.
AB - In this paper, we propose a novel and simple transmitter selection criterion to enhance the reliability performance of downlink transmission in a wireless vehicular network. In this network, the Manhattan-type urban street model is adopted such that the location of horizontal and vertical streets is generated by two independent and identical Poisson Point Processes (PPPs). Moreover, the location of vehicles on each street is modeled by a one-dimensional PPP and base stations (BSs) are located at the intersection of streets. According to the proposed criterion, the vehicle receives signals from either the nearest front vehicle via dedicated short range communications or the nearest front BS via cellular communications. Considering the generalized Nakagami-m fading, we derive a new easy-to-compute expression for the coverage probability of the signal-interference-plus-noise ratio of the vehicle at the origin. Aided by numerical results, we demonstrate the accuracy of the derived expression and explicitly show the performance advantage of the proposed criterion. In addition, we find that there is an optimal vehicle intensity to maximize the coverage probability.
KW - Coverage probability
KW - Manhattan-type urban street model
KW - Nakagami-m fading
KW - Poisson point process
KW - vehicular network
UR - http://www.scopus.com/inward/record.url?scp=85097561268&partnerID=8YFLogxK
U2 - 10.1109/ICCC49849.2020.9238797
DO - 10.1109/ICCC49849.2020.9238797
M3 - Conference contribution
AN - SCOPUS:85097561268
T3 - 2020 IEEE/CIC International Conference on Communications in China, ICCC 2020
SP - 669
EP - 674
BT - 2020 IEEE/CIC International Conference on Communications in China, ICCC 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE/CIC International Conference on Communications in China, ICCC 2020
Y2 - 9 August 2020 through 11 August 2020
ER -