In the forthcoming 6G era, Future Public transport vehicles (F-PTV), such as buses, trains, etc. will be designed to cater to the communication needs of the commuters that will carry numerous smart devices (smartphones, e-bands etc.). These battery-powered devices need frequent recharging. Since recharging facilities are not readily available while commuting, we envision F-PTVs that will provide in-vehicle recharging via Wireless Energy Transfer (WET) through in-vehicle Access Points. F-PTV will also be internally coated with Intelligent Reflecting Surface (IRS) that reflects incident radio waves towards the intended device to improve signal strength at the receiver, for both information and energy transmissions. F-PTVs will also be equipped with Mobile Edge Computing (MEC) servers to also serve multiple purposes, including a reduction in devices' task completion latency and offering in-vehicle Cloud services. MEC-server offloading will also relieve smart devices' processors off intensive tasks to preserve battery power. The challenges associated with the IRS-aided integrated MEC-WET model within F-PTV are also discussed. We present the simulation to show the effectiveness of such a model for F-PTV.

中文翻译：

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公共交通车辆的智能反射表面辅助无线能量传输和移动边缘计算

在即将到来的6G时代，未来的公共交通工具（F-PTV），例如公共汽车，火车等将被设计为满足通勤者的通信需求，通勤者将携带大量智能设备（智能电话，电子带等）。 ）。这些电池供电的设备需要经常充电。由于通勤时尚不具备充电设施，因此我们设想F-PTV将通过无线能量传输（WET）通过车载接入点提供车载充电。F-PTV还将在内部涂有智能反射面（IRS），该反射面将入射的无线电波反射向目标设备，以提高接收器在信息和能量传输方面的信号强度。F-PTV还将配备移动边缘计算（MEC）服务器，以实现多种用途，包括减少设备的任务完成延迟并提供车载云服务。MEC服务器卸载还可以减轻智能设备的处理器执行繁重任务的负担，从而节省电池电量。还讨论了与F-PTV中的IRS辅助集成MEC-WET模型相关的挑战。我们目前的仿真来展示这种模型对F-PTV的有效性。