Joint Allocation of Computing and Wireless Resources to Autonomous Devices in Mobile Edge Computing

We consider the interaction between mobile edge computing (MEC) resource management and wireless devices that offload computationally intensive tasks through shared wireless links to edge cloud servers, so as to minimize their completion times. We model the interaction between the devices and the operator that optimizes the allocation of the wireless and computing resources as a Stackelberg game. We show that a pure strategy Stackelberg equilibrium exists, and we provide an efficient algorithm for computing equilibrium allocations. Our simulation results show that joint optimization of the wireless and computing resources can provide a significant reduction of completion times at little increase in computational complexity compared to a system where resource allocation is not optimized.