Optimization of LTE-V2X Multi Objective SPS Parameters Based on Improved DE Algorithm

This study proposes a multi-objective optimization method for Semi-Persistent Scheduling parameters in LTE-V2X communication, based on an improved Differential Evolution algorithm. Targeting maximized Packet Reception Rate at 100m, minimized Channel Busy Ratio, and reduced 99th percentile latency, we establish a system model with SPS key parameters as variables. A Constraint-adaptive DE algorithm integrates sensitivity-weight guidance and dynamic Pareto front management to solve this high-dimensional mixed-integer nonlinear problem. Simulations show a 14.6% Packet Reception Rate at 100m improvement and 49.4% latency reduction compared to baselines.