This application relates to a method for designing a long-term stable
association strategy for a digital twin edge network. The method includes: constructing a long-term
association strategy model and a communication and computing model for the digital twin edge network; constructing decision variables and introducing these variables into the long-term
association strategy model and the communication and computing model to construct a problem minimizing
system latency; decoupling and optimizing the problem minimizing
system latency to obtain the decoupled optimized problem; and solving the decoupled optimized problem to achieve long-term stable association of the digital twin edge network. This invention considers the long-term cumulative benefits of the network
system, systematically considers
state evolution and
resource allocation across time periods, and optimizes overall performance from a global perspective. Compared to short-term association strategies, long-term stable association strategies can better balance immediate benefits and future costs, reduce the long-term average latency and average
energy consumption of the system, and are particularly suitable for network
system optimization in dynamic and uncertain environments.