Optimal control method for congestion control and delay reduction in deterministic networks

The proliferation of the types and number beyond fifth generation / six (B5G/6G) network services will contribute to severe congestion collapse, which is detrimental deterministic service assurance for time-sensitive businesses. Faced with control problem in networks, regulation effect macroscopic state on node various microscopic strategies should be sufficiently considered from a global view. In this paper, system model constructed, includes node-level states network-level optimization objective. Continuous transition real-time strategy selection are analyzed minimize delay degree lowest cost. analytical solution optimal derived based theory, numerical by proposing discretization algorithm (CCDA). Simulation results demonstrate that each gradually decreases obtained CCDA strategies. impacts parameters such as deterioration probability weight coefficients evolution total loss also analyzed. Moreover, proposed lower than baseline model, can provide effective referable theoretical guidance networks.