Optimizing Resource Allocation With High-Reliability Constraint for Multicasting Automotive Messages in 5G NR C-V2X Networks

Cellular vehicle-to-everything (C-V2X) has been continuously evolving since Release 14 of the 3rd Generation Partnership Project (3GPP) for future autonomous vehicles. Apart from automotive safety, 5G NR further bring new capabilities to C-V2X driving, such as real-time local update, and coordinated driving. These rely on provision low latency high reliability NR. Among them, a basic demand is broadcasting or multicasting environment update messages, cooperative perception data, with Road Side Unit (RSU) base station (BS). In other words, multiple types messages one key issues in C-V2X. this work, we consider how select Modulation Coding Scheme (MCS), RSU/BS, Forward Error Correction (FEC) code rate, maximize system utility, which function message delivery reliability. We formulate optimization problem nonlinear integer programming problem. Since NP-hard, propose an approximation algorithm, referred Hyperbolic Successive Convex Approximation (HSCA) uses successive convex find optimal solution. our simulations, compare performance HSCA those three algorithms respectively, including baseline heuristic Our simulation results show that outperforms very competitive