Wireless Powered Mobile Edge Computing: Offloading Or Local Computation?

Abstract

Mobile-edge computing (MEC) and wireless power transfer are technologies that\ncan assist in the implementation of next generation wireless networks, which\nwill deploy a large number of computational and energy limited devices. In this\nletter, we consider a point-to-point MEC system, where the device harvests\nenergy from the access point's (AP's) transmitted signal to power the\noffloading and/or the local computation of a task. By taking into account the\nnon-linearities of energy harvesting, we provide analytical expressions for the\nprobability of successful computation and for the average number of\nsuccessfully computed bits. Our results show that a hybrid scheme of partial\noffloading and local computation is not always efficient. In particular, the\ndecision to offload and/or compute locally, depends on the system's parameters\nsuch as the distance to the AP and the number of bits that need to be computed.\n