QoS Enhancements for V2X Services in 5G Networks

3GPP 5G V2X Scenarios: Performance of QoS Parameters Using Turbo Codes

“…Most of these papers present specific 3GPP scenarios using the latest Release-16 of the LTE based services aiming at highly reliable and real-time communications for automotive safety use cases. Physical layer structure, resource allocations [15], security, RSC methods [17] and QoS optimization triggered by dynamic radio conditions [16] are the main challenges for LTE V2X communications. However, none of these papers considers channel coding parameters (e.g., different decoding algorithms, number of iterations) in the optimization process for the realistic QoS indicators to be satisfied.…”

“…The authors propose a scheme which incorporates the QoS parameter that reflects the latency required in both user equipment and the base station and the aim is to maximize the throughput of all vehicle-to-infrastructure (V2I) links, while meeting the latency constraints of vehicle-tovehicle (V2V) links. Reference [16] presents the novel Multi Level QoS (MLQ) feature, a candidate enhancement for 3GPP Release 16 specifications. MLQ feature aims at improving service availability and continuity, specifically targeting safety critical V2X services.…”

“…However, none of the above works includes channel coding optimizations at physical layer so that the required QoS levels are met. Specifically, some papers focus on RSC methods [17], whereas other papers focus on radio resource management [15] and the last subcategory of papers optimize the QoS papers triggered by dynamic radio conditions [16]. The idea of focusing on physical layer channel coding process and particularly using turbo coding in 5G V2X systems has been initially discussed in [20][21][22][23] without, however, the channel coding parameters being optimized for realistic QoS indicators.…”