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, w...

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Bibliographic Details
Published in:2025 7th International Conference on Internet of Things, Automation and Artificial Intelligence (IoTAAI) pp. 480 - 483
Main Authors: Zhao, Yuancheng, Sheng, Hu, Li, Chunlin
Format: Conference Proceeding
Language:English
Published: IEEE 12.09.2025
Subjects:
Differential Evolution
Heuristic algorithms
Internet of Things
LTE-V2XIntroduction
Multi-Objective Optimization
Nonlinear dynamical systems
Optimization methods
Pareto Front
Programming
Real-time systems
Receivers
Reliability engineering
Resource management
Scheduling
Semi-Persistent Scheduling
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Summary: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.
DOI:10.1109/IoTAAI66837.2025.11213058