Abstract

Cellular-assisted vehicular-to-everything (C-V2X) communication is a promising technology to enhance the road safety and support various infortainment services in future vehicular networks. However, the integration of vehicular communication with the conventional cellular network faces many new design challenges, as vehicles typically use different spectrum band (5.9 GHz) from the cellular systems, and they usually follow different distributions and have more stringent reliability and latency requirements, as compared with the conventional cellular users. In this paper, we study C-V2X communication where the V2X resource pool is managed by the eNodeBs and reused in different cells, with the cells divided according to the Voronoi tessellation of the eNodeBs. We investigate three connection modes for a vehicle to receive safety/entertainment information, namely, from its associated eNodeB, from a neighboring vehicle on the same road, or from a neighboring vehicle on a different road. We propose a weighted-power-based mode selection scheme which offers great flexibility to balance the load of the cellular network and improve the coverage probability. By using stochastic geometry, we derive the analytical expressions for the mode selection and coverage probabilities, which are validated by extensive simulations. Furthermore, by optimizing the weighting factors, the proposed mode selection scheme leads to significantly better performance than the conventional distance-based and maximum-power-based mode selection schemes.

Highlights

  • A S A KEY component of intelligent transportation systems (ITS), vehicular communication is envisioned to create a safe driving environment by enabling vehicles to periodically exchange basic safety messages (BSMs) and timely disseminate emergency related messages

  • We propose a weighted-power-based mode selection scheme, where the connection mode is selected based on the average received power, that is determined by the transmit power, the relative distances and the channel characteristics of the potential transmitters, together with the weighting factor for each mode

  • Interference from eNodeBs: According to the analysis presented in Section IV, the probability that a typical vehicle connects to its associated eNodeB is QB, and the probability that it connects to a neighboring vehicle is 1−QB

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Summary

INTRODUCTION

A S A KEY component of intelligent transportation systems (ITS), vehicular communication is envisioned to create a safe driving environment by enabling vehicles to periodically exchange basic safety messages (BSMs) and timely disseminate emergency related messages. Mode 4 is proposed for areas without cellular coverage, where the vehicles randomly select the radio resources based on sidelink control information exchanged among vehicles, together with the measured average reference signal received power (RSRP). Note that in both operation modes mentioned above, only sidelinks between vehicles are utilized for vehicular communication, whereas the eNodeBs, which have been widely deployed with high density in urban area, only play the roles as resource managers. We present a comprehensive network model with the coordinated multiple access scheme for cellular-V2X communications, based on which a flexible weighted-power-based mode selection scheme is proposed.

RELATED WORKS
CHANNEL MODEL
DISTANCE DISTRIBUTIONS AND CONNECTION MODE PROBABILITIES
COVERAGE ANALYSIS AND OPTIMIZATION
VOID CELL PROBABILITY
SIMULATION RESULTS
CONCLUSION
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