Abstract

Cellular-vehicle-to-everything (C-V2X) is gaining an increasing interest among the technologies under consideration for future connected and automated vehicles, especially for sidelink LTE-V2X Mode 4 and sidelink 5G-V2X Mode 2, where nodes autonomously perform resource allocations and transmissions, without relying on any infrastructure. In these cases, the allocation process has been designed based on the assumption of periodic packet generation constrained to a few possible allocation periods. Nevertheless, even assuming that the awareness messages are continuously exchanged, the packet generation might not always be exactly periodical or might come with a periodicity not constrained to the expected values, as for example with the Cooperative Intelligent Transport Systems (C-ITS) standard defined by the European Telecommunications Standards Institute (ETSI). The non-ideal periodicity of packet generation, if not properly taken into account, can significantly impact the operation and performance of C-V2X when vehicles autonomously select their radio resources. This paper provides an analysis of how a misalignment between packet generation and resource allocation affects the system performance and provides insights into how to design the parameter settings to improve the performance. A case study is provided, focusing on LTE-V2X Mode 4 and the cooperative awareness message (CAM) generation in agreement with the the ETSI specifications. Results show that the performance generally improves if the smallest allocation interval is adopted and if the reservation is maintained even when no packets are ready for transmission. It is also shown how the parameter controlling the maximum latency in LTE-V2X, jointly with the misalignment between the allocation and generation intervals, can further affect the packet reception rate.

Highlights

  • The transport systems and the automotive industries are undergoing key technological transformations since an increasing number of connected and automated vehicles is populating our roads, providing enhanced safety and efficiency

  • We investigate the effect of a mismatch between the packet generation frequency at upper layers of the ITS stack and the allocation periodicity at physical layer in sidelink C-V2X autonomous mode, with reference, as a case study, to sidelink LTE-V2X Mode 4 and to the speed-dependent triggering mechanisms of cooperative awareness message (CAM) as specified by European Telecommunications Standards Institute (ETSI) [22]

  • We provide system-level results to analyze the performance of sidelink LTE-V2X Mode 4 varying the generation frequency, vehicle speed, and vehicle densities; and

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Summary

INTRODUCTION

The transport systems and the automotive industries are undergoing key technological transformations since an increasing number of connected and automated vehicles is populating our roads, providing enhanced safety and efficiency. In the sidelink LTE-V2X autonomous mode, vehicles independently select their radio resources through a distributed scheduling protocol, namely the sensing-based semi-persistent scheduling (SB-SPS) Such a protocol assumes a periodic nature of the exchanged physical layer messages, estimates the occupied resources in the last period of time, predicts the future use of resources and performs a semi-persistent reservation of the identified resources for a given period. The rationale for assuming periodic messages in the design of the resource allocation mechanisms is that V2X Day 1 applications are based on the exchange of messages, which are continuously sent by each vehicle in broadcast Such messages, called cooperative awareness messages (CAMs) in Europe, defined by the ETSI, and basic safety messages (BSMs) in the US, defined by the Society of Automotive Engineers (SAE), contain updates about the state and movements of the vehicle.

RELATED WORK AND PAPER SCOPE
CAM PACKET GENERATION
GENERATION AND ALLOCATION PERIOD
SYSTEM LEVEL RESULTS FROM THE CASE STUDY
RESULTS VARYING THE MAXIMUM TRANSMISSION DELAY
CONCLUSION
APPROACH 1
APPROACH 2
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