Energy Consumption Optimization for Air-Ground Cooperation Based Covert Mobile Edge Computing System
Under the condition that only the estimated location information of Willie is known,the covertness constraints are analyzed from the perspective of the warden node Willie and the unmanned aerial vehicle respectively.Then the optimization problem to minimize the weighted total energy consumption of the unmanned aerial vehicle is established by jointly optimizing the computation task allocation factor,the unmanned aerial vehicle-ground base station association factor,the unmanned aerial vehicle power and the unmanned aerial vehicletrajectory.To tackle the formulated non-convex optimization problem,an efficient three-stage alternating iterative optimization algorithm with the parameter based on block coordinate descent method,S-procedure and successive convex approximation method is proposed.Simulation results evidently demonstrate that the proposed algorithm can save energy consumption and offload more computing tasks to the ground base stations under given covert rate constraints,and has a desirable convergence.
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