Resource optimization in wireless powered cooperative mobile edge computing systems

Mobile edge computing (MEC) meets the high-bandwidth and ultra-low-latency requirements of mobile networks and improves communication reliability by reducing the networks' load. In this study, we study a wireless powered MEC system, which includes an access point (AP) and two mobile devices. The endurance of mobile devices can be effectively enhanced using the wireless power transfer technology and user cooperation. However, during user cooperation, a closer user assists a farther user with forwarding tasks by sharing the same bandwidth, which causes interference. To overcome the interference issue, the closer user can instead assist other users in forwarding tasks by using a different bandwidth. We aim to minimize the power of the AP by joint power and bandwidth optimization while satisfying the delay and users' computational tasks. Simulation results show that the proposed user collaboration method can overcome user interference, reduce energy consumption, and improve user performance compared with the baseline policies.