【摘要】 为了保证高等级自动驾驶的安全，车载智能需要通过车路协同扩展感知范围，实现车路协同智能驾驶。这种车路之间的一体化协作具有时变性和复杂性，传统物联网汇聚模式的无线通信资源调度已经难以满足需求。为了在复杂环境下高效管理无线资源，提出适合高等级智能驾驶的车路协同无线通信资源调度框架，将车载智能和路侧智能建模为多智能体系统，通过对协同需求和通信环境的认知，实现智能体间的合作式资源分配，完成无线通信资源的最优调度。更多还原

【Abstract】 In order to ensure the safety of high-level automatic driving,in-vehicle intelligence needs to extend the perception range through vehicle-road collaboration to achieve vehicle-road collaborative intelligent driving. This kind of integrated collaboration between vehicle and road has time-varying and complexity,and the wireless communication resource scheduling of the traditional IoT convergence mode is already difficult to meet the demand. In order to efficiently manage wireless resources in complex environments,it proposes a wireless communication resource scheduling framework for vehicle-road collaboration suitable for high-level intelligent driving,which models vehicle intelligence and roadside intelligence as multi-agent systems,and achieves cooperative resource allocation among intelligences and optimal scheduling of wireless communication resources through the cognition of collaborative demands and communication environments.更多还原