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Multi-CAP Assisted Intelligent Mobile Edge Computing Networks for Internet of Things

In this paper, we investigate intelligent mobile edge computing networks (MEC) with multiple computational access points (CAPs) for Internet of Things (IoT), where the user with limited computational capability has some tasks to be computed with the help of the CAPs. We use the communication and computational latency to measure the system outage probability. In order to enhance the system performance, two CAP relay selection criteria are proposed, where one is based on the computational capability at the CAPs while the other criterion is based on the instantaneous channel parameters from the user to the CAPs. To further improve the system performance, the offloading ratio is optimized through minimizing the system outage probability, which determines how many parts of tasks to be computed at the CAPs. Numerical and simulation results are finally presented to verify the effectiveness of the proposed CAP selection criteria and offloading ratio strategy.