MD2DO: A Channel Selection Method for Device to Device Communication Using the Mobile Edge Computing (MEC) Paradigm

Nowadays, with rapid development of technology and hardware, mobile devices have become an important part of people’s daily life. Although LTE (Long Term Evolution) had been developed stably and can support large scale communication services to mobile devices, the traffic offloading in core network and mobile devices is still an issue. Besides, the intensive collision between mobile devices is also an issue because they need to compete the finite network resources with each other. Mobile Edge Computing (MEC) is a promising technique applied to network edge, which can assist the edge device to offload the data traffic and decrease the gigantic computation effort through sending the complicated tasks to remote MEC before sending to core network. To solve the traffic and location issues, this paper proposed a channel selection scheme for MEC-assisted Device to Device communication Offloading (MD2DO) which can help the peered mobile devices to confirm the location of the mobile device and efficiently have Wi-Fi D2D through channel selection for traffic offloading. The simulation results proved that the MD2DO method decreases the collisions between the mobile devices through the efficiently channel selection and enhances the network performance.