论文标题
能节能无线充电和计算MEC系统中的卸载
Energy-efficient Wireless Charging and Computation Offloading In MEC Systems
论文作者
论文摘要
无线充电加上Edge Networks中的计算卸载，提供了一种有希望的解决方案，用于实现用户设备上的强力和计算密集型应用程序。我们考虑使用与要求数据计算和无线充电的多个用户支持的多个用户相关的MEC服务器和基础站/接入点（BS/AP）的Mutil-Access Edge计算（MEC）系统。我们提出了一个具有计算卸载的集成解决方案，以满足所需的无线充电比例，同时将能耗保持在最低限度的情况下，而受MEC-AP发射功率和延迟约束。我们提出了一种新型算法，以执行数据分配，时间分配，传输功率控制和设计最佳的能量光束，以进行无线充电。与其他方案相比，我们的资源分配方案提供了一种能量最小化解决方案，同时还向用户提供了更高的转移费用。
Wireless charging coupled with computation offloading in edge networks offers a promising solution for realizing power-hungry and computation intensive applications on user devices. We consider a mutil-access edge computing (MEC) system with collocated MEC servers and base-stations/access points (BS/AP) supporting multiple users requesting data computation and wireless charging. We propose an integrated solution with computation offloading to satisfy the largest proportion of requested wireless charging while keeping the energy consumption at the minimum subject to the MEC-AP transmit power and latency constraints. We propose a novel algorithm to perform data partitioning, time allocation, transmit power control and design the optimal energy beamforming for wireless charging. Our resource allocation scheme offers an energy minimizing solution compared to other schemes while also delivering higher amount of transferred charge to the users.
