Power Minimization for Cooperative Wireless Powered Mobile Edge Computing Systems

This paper studies the power-efficient joint radio and computational resource allocation for two near-far mobile devices in a wireless powered mobile edge computing system. To overcome the double-near-far effect for the farther device, cooperative communications in the form of relaying via the nearer device is considered for offloading. The access point (AP)'s total transmit power minimization problem is formulated under the constraints of the computation tasks, which is equivalent to a min-max problem and can be optimally solved by a two-phase method. Numerical results not only show the significant performance improvement of the proposed scheme, but also demonstrate its effectiveness in handling computation-intensive latency-critical (CILC) tasks and resisting the double-near-far effect.