Investigating 5G V2X QoS using turbo codes

3
^rd
Generation Partnership Project (3GPP) 5th Generation (5G) Vehicle-to-Everything (V2X) implementation scenarios represent typical applications of the new forthcoming technology. Quality of service (QoS) in 5G V2X services represents a critical issue with parameters like reliability, end-to-end latency, data rate and communication range in realistic environmental conditions for an urban area (i.e. different vehicle speeds and vehicle densities). We investigate 6 V2X implementation scenarios using Long Term Evolution (L TE) turbo coding with a geometry-based efficient propagation V2X model (GEMV), where we consider the above parameters for three turbo decoding algorithms. Our approach is suitable for 3GPP cooperative sensing, for all 6 scenarios considering large Signal-Noise-Ratio (SNR) values of 9 and 10 dB. Furthermore, doubling data rate results to up 2 dB Bit Error Rate (BER)/Frame Error Rate (FER) performance losses, while increasing mobile terminal speed results in worse BER/FER performance mainly for large BER/FER values. Finally, we observe a BER/FER performance decrease of about 4 dB for an increase of vehicle density from 45 to 105.