Code of Paper: Smart Economic and Mobility Aware Cooperation for Resource Sharing in Multi-Tier Edge Slicing

In this paper, we propose a novel cooperative resource sharing in a multi-tier edge slicing networks which isrobust to imperfect channel state information (CSI) caused by user equipments’ (UEs) mobility. Due to the mobilityof UEs, the dynamic requirements of their tasks, and the limited resources of the network, we propose a smart jointdynamic pricing and resources sharing (SJDPRS) scenario that can incentivize the infrastructure provider (InP) andmobile network operators (MNOs). Aiming to maximize the profits of UEs, MNOs and the InP under the taskfulfillment constraints, we formulate an optimization problem by deploying the multi-objective optimization methodwhere in addition to the resource allocation variables, the price values are also the optimization variables. To solvethe problem, we adopt a new deep reinforcement learning (DRL) method based on a carefully designed rewardfunction. The simulation results indicate that the proposed resource sharing scenario can increase total profits forthe UEs, MNOs, and InP in comparison to non-cooperative case, while also providing almost complete fairnessamong the players. In specific, the obtained results show that the average fulfilled tasks, minimum profit of MNOs,and average profit for the InP enhanced by 78%, 75%, and 79%, respectively.