Computation Collaboration in Ultra Dense Network Integrated with Mobile Edge Computing

The integration of Mobile Edge Computing( MEC) with the Radio Access Network(RAN) has arisen as a futuristic technology. It offers the cloud-computing capabilities and high-speed wireless transmission to close to User Equipment(UEs) by deploying MEC servers on the Base Stations(BSs) in Ultra Dense Network(UDN). Mostly current research mainly focus on that the MEC server is a coadjutant to offload the computational tasks and reduce the energy consumption of UEs. However, the heterogeneity of servers and the agglomeration effect of users bring new challenge for the fair resource sharing and load balancing among MEC-BSs. In this paper, to efficiently relieve the unfairness of MEC-BS servers and utilize the whole computing resources, we envision a MEC collaborative architecture to achieve the resource sharing among MEC-BSs in UDN. Our design aims at reducing the time consumption of all tasks, where multiple weight and number of tasks can be delivered to different servers at random. We consider the time delay, resource consumption and the state of wireless channel to establish the system model and design an optimal model based on the transfer time and computation time consumption. Finally, we conduct the simulations of optimal task collaboration mechanism to evaluate the performance. The simulations result demonstrate a better performance improvement of the proposed strategy over the simply approaches in terms of average time consumption of per task and rate of tasks successfully completed.