  Computation-efficient resource allocation strategies are of crucial
importance in mobile edge computing networks. However, few works have focused
on this issue. In this letter, weighted sum computation efficiency (CE)
maximization problems are formulated in a mobile edge computing (MEC) network
with orthogonal frequency division multiple access (OFDMA). Both partial
offloading mode and binary offloading mode are considered. The closed-form
expressions for the optimal subchannel and power allocation schemes are
derived. In order to address the intractable non-convex weighted sum-of ratio
problems, an efficiently iterative algorithm is proposed. Simulation results
demonstrate that the CE achieved by our proposed resource allocation scheme is
better than that obtained by the benchmark schemes.
