Joint Optimization of Computation Offloading and Resource Allocation for LEO Satellite Edge Computing Networks

The LEO satellite edge computing network can provide communication and computing services to ground users. However, the computing resources of LEO satellites are limited and may not be able to provide computing services to all ground users. To this end, this paper proposes a problem of jointly optimizing computation offloading decisions and computing resource allocation to minimize the total energy consumption of computation task processing, which can ensure that the computation tasks of all ground users can be effectively processed. However, the proposed problem contains 0-1 variables, and the computation offloading decision and computing resource allocation are coupled, which makes the problem difficult to solve directly. To solve this problem, this paper first uses the relaxation algorithm to transform the original problem and then proposes a joint optimization algorithm to solve the transformed problem. Simulation results show that the proposed algorithm can effectively reduce the total energy consumption of computation task processing.