Offloading-Efficiency Maximization for Mobile Edge Computing in Clustered NOMA Networks

This paper considers the problem of offloading-efficiency maximization for a mobile edge computing (MEC) nonorthogonal multiple-access (NOMA) network with user clusters. The goal is to maximize network offloading-efficiency via joint power allocation, and computing resource allocation (J-PA-CRA), under the partial offloading mode, and subject to delay and transmit power constraints. However, the formulated problem happens to be non-convex, and thus is computationally-prohibitive. In turn, a low-complexity solution procedure is proposed, which optimally solves problem J-PA-CRA via successive convex approximation. Simulation results are provided to validate the proposed solution procedure, illustrating that it yields the optimal network offloading-efficiency, in comparison to the J-PA-CRA scheme (solved via a global optimization package), and superior to its OMA counterpart schemes (e.g. FDMA and TDMA).