Mobile-edge computing (MEC) and wireless power transfer are technologies that can assist in the implementation of next generation wireless networks, which will deploy a large number of computational and energy limited devices. In this letter, we consider a point-to-point MEC system, where the device harvests energy from the access point’s (AP’s) transmitted signal to power the offloading and/or the local computation of a task. By taking into account the non-linearities of energy harvesting, we provide analytical expressions for the probability of successful computation and for the average number of successfully computed bits. Our results show that a hybrid scheme of partial offloading and local computation is not always efficient. In particular, the decision to offload and/or compute locally, depends on the system’s parameters such as the distance to the AP and the number of bits that need to be computed.

中文翻译：

---

无线供电移动边缘计算：卸载还是本地计算？

移动边缘计算 (MEC) 和无线电力传输是可以帮助实现下一代无线网络的技术，这些网络将部署大量计算和能源受限的设备。在这封信中，我们考虑了一个点对点 MEC 系统，其中设备从接入点 (AP) 传输的信号中获取能量，以为任务的卸载和/或本地计算提供动力。通过考虑能量收集的非线性，我们提供了成功计算概率和成功计算位的平均数的解析表达式。我们的结果表明，部分卸载和本地计算的混合方案并不总是有效的。特别是，决定卸载和/或本地计算，