Dynamic Computation Offloading for MIMO Mobile Edge Computing Systems With Energy Harvesting

By providing spatial diversity gain, the incorporation of multiple antennas into mobile edge computing (MEC) systems can improve transmission performance. Meanwhile, employing energy harvesting (EH) helps enhance system sustainability. In this paper, we focus on multi-input multi-output (MIMO) MEC with EH and studies computation offloading. The design objective is to minimize time average a weighted sum consumption execution delay, meanwhile stabilizing battery queue. To end, formulate problem as statistic program propose dynamic offloading (DCO) algorithm in which transmitter covariance matrix, CPU-cycle frequencies for local computing, partial ratio are jointly optimized. Based Lyapunov optimization, first transformed nonconvex per-time slot problem. Then, solve it by successive convex approximation (SCA) technique, where sequence problems created solved. Simulation results demonstrate that proposed asymptotically optimal outperforms several benchmark schemes terms both cost task drop ratio.