With various service types including massive machine-type communication(mMTC)and ultra-reliable low-latency communication(URLLC),fifth generation(5G)networks require advanced resources management strategies.As a metho...With various service types including massive machine-type communication(mMTC)and ultra-reliable low-latency communication(URLLC),fifth generation(5G)networks require advanced resources management strategies.As a method to segment network resources logically,network slicing(NS)addresses the challenges of heterogeneity and scalability prevalent in these networks.Traditional software-defined networking(SDN)technologies,lack the flexibility needed for precise control over network resources and fine-grained packet management.This has led to significant developments in programmable switches,with programming protocol-independent packet processors(P4)emerging as a transformative programming language.P4 endows network devices with flexibility and programmability,overcoming traditional SDN limitations and enabling more dynamic,precise network slicing implementations.In our work,we leverage the capabilities of P4 to forge a groundbreaking closed-loop architecture that synergizes the programmable data plane with an intelligent control plane.We set up a token bucket-based bandwidth management and traffic isolation mechanism in the data plane,and use the generative diffusion model to generate the key configuration of the strategy in the control plane.Through comprehensive experimentation,we validate the effectiveness of our architecture,underscoring its potential as a significant advancement in 5G network traffic management.展开更多
The steady-state or cyclic control problem for a simplified isolated traffic intersection is considered.The optimization problem for the green-red switching sequence is formulated with the help of a discrete-event max...The steady-state or cyclic control problem for a simplified isolated traffic intersection is considered.The optimization problem for the green-red switching sequence is formulated with the help of a discrete-event max-plus model.Two steady-state control problems are formulated:optimal steady-state with green duration constraints,and optimal steady-state control with lost time.In the case when the criterion is a strictly increasing,linear function of the queue lengths,the steady-state control problems can be solved analytically.The structure of constrained optimal steady-state traffic control is revealed,and the effect of the lost time on the optimal solution is illustrated.展开更多
基金supported by the funding from the National Natural Science Foundation of China(Nos.62325203 and U22B2033)in part by the General Artificial Intelligence computing Chip project for training in 2022(No.CEIEC-2022-ZM02-0244)from Kunlunxin(Beijing)Technology Co.,LTDtin part by the BUPT Excellent Ph.D.Students Foundation(No.CX2023147).
文摘With various service types including massive machine-type communication(mMTC)and ultra-reliable low-latency communication(URLLC),fifth generation(5G)networks require advanced resources management strategies.As a method to segment network resources logically,network slicing(NS)addresses the challenges of heterogeneity and scalability prevalent in these networks.Traditional software-defined networking(SDN)technologies,lack the flexibility needed for precise control over network resources and fine-grained packet management.This has led to significant developments in programmable switches,with programming protocol-independent packet processors(P4)emerging as a transformative programming language.P4 endows network devices with flexibility and programmability,overcoming traditional SDN limitations and enabling more dynamic,precise network slicing implementations.In our work,we leverage the capabilities of P4 to forge a groundbreaking closed-loop architecture that synergizes the programmable data plane with an intelligent control plane.We set up a token bucket-based bandwidth management and traffic isolation mechanism in the data plane,and use the generative diffusion model to generate the key configuration of the strategy in the control plane.Through comprehensive experimentation,we validate the effectiveness of our architecture,underscoring its potential as a significant advancement in 5G network traffic management.
文摘The steady-state or cyclic control problem for a simplified isolated traffic intersection is considered.The optimization problem for the green-red switching sequence is formulated with the help of a discrete-event max-plus model.Two steady-state control problems are formulated:optimal steady-state with green duration constraints,and optimal steady-state control with lost time.In the case when the criterion is a strictly increasing,linear function of the queue lengths,the steady-state control problems can be solved analytically.The structure of constrained optimal steady-state traffic control is revealed,and the effect of the lost time on the optimal solution is illustrated.
