论文标题

使用可重构的智能表面增强的物联网无电Battery D2D通信

Enhanced IoT Batteryless D2D Communications Using Reconfigurable Intelligent Surfaces

论文作者

Ahmed, Shakil, Selim, Mohamed Y., Kamal, Ahmed E.

论文摘要

最近对可重新配置智能表面(RIS)的研究表明,包含被动元素的RIS面板通过反射传输信号向接收节点来增强物联网(IoT)系统的频道性能。本文调查了RIS面板辅助网络,以激发最小的基站(BS)以无电体IoT传感器的能量收集形式发射功率,以在重要的多路环境(例如Urban地区)中最大程度地发射位置。无电池IoT传感器通过外部来源通过RIS面板收集能量,例如在给定时间范围内,在第一个最佳时间范围内,来自附近的BS射频(RF)信号。物联网传感器之间的位传输,然后是设备对设备(D2D)通信协议,在最终最佳时间范围内使用收获的能量最大化。位传输至少等于IoT传感器采样的位数。我们制定了非凸的混合企业非线性问题,以最大程度地提高BS RF信号,RIS面板能量消耗和所需时间的能源收集的通信位数。我们通过介绍迭代算法提出了强大的解决方案。我们基于3GPP城市微通道模型执行广泛的仿真结果,以验证我们的模型。

Recent research on reconfigurable intelligent surfaces (RIS) suggests that the RIS panel, containing passive elements, enhances channel performance for the internet of things (IoT) systems by reflecting transmitted signals to the receiving nodes. This paper investigates RIS panel assisted-wireless network to instigate minimal base station (BS) transmit power in the form of energy harvesting for batteryless IoT sensors to maximize bits transmission in the significant multi-path environment, such as urban areas. Batteryless IoT sensors harvest energy through the RIS panel from external sources, such as from nearby BS radio frequency (RF) signal in the first optimal time frame, for a given time frame. The bits transmission among IoT sensors, followed by a device-to-device (D2D) communications protocol, is maximized using harvested energy in the final optimal time frame. The bits transmission is at least equal to the number of bits sampled by the IoT sensor. We formulate a non-convex mixed-integer non-linear problem to maximize the number of communicating bits subject to energy harvesting from BS RF signals, RIS panel energy consumption, and required time. We propose a robust solution by presenting an iterative algorithm. We perform extensive simulation results based on the 3GPP Urban Micro channel model to validate our model.

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