Intelligent task offloading and collaborative computation over D2D communication

In this paper, the problem of computation offloading in the edge server is studied in a mobile edge computation (MEC)-enabled cell networks that consists of a base station (BS) integrating edge servers, several terminal devices and collaborators. In the considered networks, we develop an intelligent task offloading and collaborative computation scheme to achieve the optimal computation offloading. First, a distance-based collaborator screening method is proposed to get collaborators within the distance threshold and with high power. Second, based on the Lyapunov stochastic optimization theory, the system stability problem is transformed into a queue stability issue, and the optimal computation offloading is obtained by solving these three sub-problems: task allocation control, task execution control and queue update, respectively. Moreover, rigorous experimental simulation shows that our proposed computation offloading algorithm can achieve the joint optimization among the system efficiency, energy consumption and time delay compared to the mobility-aware and migration-enabled approach, Full BS and Full local.