Resources Conversion and Complementarity based Tasks Scheduling for Multifunction Radar Network

In this paper, in order to improve the performance of multifunction radar network for tasks execution, a tasks scheduling problem is investigated. Considering the scalability of tasks duration and the conversion and complementarity relationship between multi-dimensional resources, a method that tasks can not only be delayed but also be compressed is proposed to solve the problem. Firstly, we construct a resource usage optimization problem for multifunction radar network by choosing the total loss of delay and compression as objective function. Then, an algorithm based on interior point method and coordinate descent method is presented to obtain the optimum solution of the objective function. Finally, simulation results are provided to verify the validity of proposed method.