This study aims to optimize vehicular user association to base stations in a mobile network. We propose an efficient heuristic solution that considers the base station average handover frequency, the channel quality indicator, and bandwidth capacity. We evaluate this solution using real-world base station locations from S\~ao Paulo, Brazil, and the SUMO mobility simulator. We compare our approach against a state of the art solution which uses route prediction, maintaining or surpassing the provided quality of service with the same number of handover operations. Additionally, the proposed solution reduces the execution time by more than 80\% compared to an exact method, while achieving optimal solutions.

翻译：本研究旨在优化移动网络中车载用户与基站的关联机制。我们提出了一种高效的启发式解决方案，该方案综合考虑了基站平均切换频率、信道质量指示符以及带宽容量。我们使用巴西圣保罗的真实基站位置数据及SUMO移动仿真器对该方案进行了评估。与现有基于路径预测的先进解决方案相比，在保持相同切换操作次数的前提下，本方案维持或超越了既定的服务质量。此外，相较于精确计算方法，所提方案在获得最优解的同时，将执行时间降低了80%以上。