Cooperative Computation Offloading in NOMA-Based Edge Computing

This paper studies a cooperative mobile edge computing (MEC) system with user cooperation, which consisting of a user, a helper, and an access point (AP). The mobile user can offload the computation data to the helper and the AP simultaneously on the same resource block using non-orthogonal multiple-access (NOMA). The helper can locally compute the data offloaded by the user, in addition to processing its own data. An offloading data maximization problem is formulated by joint design of radio-and-computation resources. We find the optimal solution by exploring some properties of the problem. Simulation results show that the proposed scheme effectively improves the system offloading data and benefits both the user and helper.