As the realization of vehicular communication is imperative for the autonomous driving cars, the understanding of realistic vehicle-to-everything (V2X) models is needed. While previous research has mostly targeted vehicular models in which vehicles are randomly distributed and the variable of carrier frequency was not considered, a more realistic analysis of the V2X model is proposed in this paper. We use a one-dimensional (1D) Poisson cluster process (PCP) to model a realistic scenario of vehicle distribution in a perpendicular cross line road urban area and compare the coverage results with the previous research that distributed vehicles randomly by Poisson Point Process (PPP). Moreover, we incorporate the effect of carrier frequencies, mmWave and sub-6 GHz, to our analysis by altering the antenna radiation pattern accordingly. Results indicated that while the effect of clustering led to lower outage, using mmWave had even more significance in leading to lower outage. Moreover, line-of-sight (LoS) interference links are more dominant in lowering the outage than the non-line-of-sight (NLoS) links even though they are less in number. The analytical results give insight into the urban V2X channels, and are verified by three-dimensional (3D) ray-tracing.
|Title of host publication||2018 IEEE Globecom Workshops, GC Wkshps 2018 - Proceedings|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Publication status||Published - 2019 Feb 19|
|Event||2018 IEEE Globecom Workshops, GC Wkshps 2018 - Abu Dhabi, United Arab Emirates|
Duration: 2018 Dec 9 → 2018 Dec 13
|Name||2018 IEEE Globecom Workshops, GC Wkshps 2018 - Proceedings|
|Conference||2018 IEEE Globecom Workshops, GC Wkshps 2018|
|Country/Territory||United Arab Emirates|
|Period||18/12/9 → 18/12/13|
Bibliographical noteFunding Information:
This work was supported by IITP grant funded by the Korea government (MSIT) (2018-0-00208, High Accurate Positioning Enabled MIMO Transmission and Network Technologies for Next 5G-V2X (vehicle-to-everything) Services).
© 2018 IEEE.
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Hardware and Architecture
- Safety, Risk, Reliability and Quality