Matching-Theory-Based Multi-User Cooperative Computing Framework

In this letter, we propose a matching theory based multi-user cooperative computing (MUCC) scheme to minimize the overall energy consumption of group user equipments (UEs), where UEs can be classified into following roles: resource demander (RD), provider (RP), and standalone UE (SU). We first determine role each by leveraging roommate method. Then, college admission algorithm divide multiple cooperation groups, consisting one RP RDs. Next, rotation swap operation further improve performance without deteriorating system stability. Finally, present an effective task offloading all groups. The simulation results verify effectiveness proposed scheme.