Adaptive Sequential Offloading Game for Multi-Cell Mobile Edge Computing

Mobile Edge Computing (MEC) provides computation capabilities within the radio access network and in close proximity to mobile users, so as to enrich user experience. In this paper, we consider a multi-cell MEC scenario, where the small cells are densely deployed and serve multiple mobile users. However, the finite computation resources of MEC server and severe inter-cell interference limit the scalability of offloading. We propose an adaptive sequential offloading game approach to resolve these problems, where the mobile users sequentially make offloading decisions based on the current interference environment and available computation resources. Besides, we adjust the number of offloaded users adaptively to avoid the unexpected queuing delay due to the competition for limited computation resources among offloaded users. Numerical results show that our proposed algorithm can achieve efficient performance in terms of both the experienced latency and energy consumption and scale well as the network system size increases.