Offloading Decision and Resource Allocation for Satellite Edge Computing

Abstract

Plenty of research show that edging computing can be applied in satellite network and it has been a hotpot. By deploying the MEC server, satellites can provide enough computing resources for tasks and reduce the delay required for task processing. Compared with traditional edge computing architectures, satellite edge computing (SEC) has a greater coverage area. In this paper, offloading decisions and resource allocation in low-orbit satellites are considered and an optimization algorithm MMTORA is proposed. The algorithm decomposes the problem to be optimized into two sub-problems, and they can be solved by the Nash equilibrium solution and Lagrange multiplier algorithm, respectively. We demonstrate that MMTORA can converge quickly and prove its superiority through simulation results.