thesis

Performance of Sensing-Based Semi-Persistent Scheduling (SPS) in LTE-V2X Release 14 Distributed Mode

Abstract

This project will study the different possibilities of access technologies based on LTE in order to provide communications V2V and V2I. This evaluation will be performed by developing a simulator and studying its main communication parameters.The initial standard for cellular-based Vehicle-to-everything (V2X) communications was introduced in 2017 by 3GPP in Long Term Evolution (LTE) Release 14 to serve as a viable alternative to the mature yet dated WLAN-based 802.11p technology. LTE-V2X Release 14 introduced a new arrangement of the resource grid as well as a sensing-based semi-persistent scheduling (SPS) algorithm for the distributed mode in order to reduce latency and increase capacity. A simulator based on open-source software frameworks was developed to evaluate the performance of the Release 14 sensing-based SPS and random allocation in scenarios with varying traffic loads, message sizes, resource keep probabilities P, and collision power thresholds. The performance was then evaluated in terms of Packet Reception Ratio (PRR), occupancy, and goodput, Neighborhood Awareness Ratio (NAR), position error, and latency. Simulation results showed that sensing-based SPS generally performed better than random allocation in terms of PRR in short to medium distances. Sensing-based SPS configured with P=0 performed only slightly better than random allocation in terms of NAR but slightly worse in terms of position error. However, with sufficiently high message traffic, sensing-based SPS performed similar to, or even worse than random allocation

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