Abstract
Cellular vehicle-to-everything (C-V2X) communication has recently gained attention in industry and academia. Different implementation scenarios have been derived by the 3rd Generation Partnership Project (3GPP) 5th Generation (5G) Vehicle-to-Everything (V2X) standard, Release 16. Quality of service (QoS) is important to achieve reliable communication and parameters which have to be considered are reliability, end-to-end latency, data rate, communication range, throughput and vehicle density for an urban area. However, it would be desirable to design a dynamic selecting system (with emphasis on channel coding parameters selection) so that all QoS parameters are satisfied. Having this idea in mind, in this work we examine nine V2X implementation scenarios using Long Term Evolution (LTE) turbo coding with a geometry−based efficient propagation model for vehicle-to-vehicle communication (GEMV), where we consider the above QoS parameters for SOVA, log-MAP and max-log-MAP decoding algorithms. Our study is suitable for 3GPP cooperative sensing, for the eight scenarios considering medium and large signal-noise-ratio (SNR) values. The proposed model is sustainable despite a doubled data rate, which results in a minimal bit error rate (BER) performance loss up to 1.85 dB. In this case tripling the data rate results in a further 1 dB loss. Moreover, a small loss up to 0.4 dB is seen for a vehicle speed increase from 60 km/h to 100 km/h. Finally, increasing vehicle density has no effect on the implemented 3GPP scenario considering end-to-end latency, irrespectively from the decoding algorithm.
Highlights
The requirements in terms of Quality of service (QoS) performance vary according to specific user cases that represent realistic 3rd Generation Partnership Project (3GPP) scenarios [1]
The C–V2X approach corresponds to collaboration of existing cellular technology (e.g., Long Term Evolution (LTE)) with V2X communication. 3GPP 5th Generation (5G) V2X Release 16 has specified six application scenarios considering the following four parameters: end-to-end latency, data rate, reliability and communication range
In this work we investigate all six of the above parameters and apply the LTE turbo coding scheme to these 5G V2X scenarios
Summary
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. Specific 3GPP 5G V2X scenarios of Release 16 are simulated applying the LTE turbo coding scheme, considering different vehicle densities, vehicle speeds and frame sizes. For scenario 5 (vehicle-to-network or V2N/V2I mode), traffic efficiency is used and latency and reliability requirements are loosened, while data rate values are between kbps and 2 Mbps. The vehicles interchange small cooperative awareness messages (CAMs) with critical information for safety applications (i.e., location, relative speed [29]) featuring as many as possible QoS requirements for the most common user defined 3GPP cases such as V2V, V2P, V2I, V2N communications [2].
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