Machine learning enabled distributed mobile edge computing network

In this work, we propose to establish a mobile edge computing (MEC) network that considers computation, caching and communication jointly. Depending on the demanding categories, users in the network are partitioned into computation-driven and caching-driven users, both of which need memory resource to improve their quality of experiences (QoEs). Thus, a memory resource allocation problem is aroused to maximize the performance of the whole...