Enhancing the 5G V2X reliability using turbo coding for short frames

For 5th Generation (5G) Vehicle-to-Everything (V2X) communication it would be desirable to build a dynamically changing reconfigurable system, considering different parameters. Turbo codes had a great impact on the realisation and success of 3G and 4G. Despite their complexity, their use for 5G V2X and short frames represents a challenging issue. Therefore, for the physical layer the choice of decoding iterations and algorithm represent two important parameters to achieve low latency and high performance increasing the reliability of packet delivery. This is particularly useful for traffic emergency situations under strong interference or radio frequency jamming. For the Geometry-based, Efficient propagation Model (GEMV) for Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication, our simulation results propose a constant number of three iterations. Subsequently, we investigate the main three turbo decoding algorithms for GEMV and flat Rayleigh fading and our analysis does not recommend Soft Output Viterbi Algorithm (SOVA) due to its worse performance. We propose either log-Maximum a Posteriori (MAP) (better performance), or max-log-MAP (lower complexity), in comparison to the far more complex MAP algorithm.