Research And Application Of Heuristic Optimization Algorithm In Hybrid Multicast

The current rapid growth of mobile multimedia video services,especially the explosive growth of short video services,has brought great pressure on the transmission of mobile communication networks.Hybrid multicast technology aims to improve network transmission efficiency and reduce network bandwidth pressure by combining a certain amount of unicast data into multicast transmission.It is expected to be a solution to the above challenges.Therefore,research on hybrid multicast has attracted more and more attention from scholars in the industry.However,current researches mainly face the following challenges:(1)Lack of reasonable modeling for the end-to-end hybrid multicast scheduling problem.(2)Lack of efficient scheduling solutions for mobile video service scenarios.Therefore,based on the 5G MBS architecture,this paper designs a hybrid multicast transmission scheduling scheme for open video services,The main research contents and main contributions are as follows:Firstly,for the end-to-end open video service,the hybrid multicast scheduling problem is modeled and analyzed in detail.In this paper,considering the simultaneous optimization of network utility and user QoE,the multicast scheduling problem of mixed users in the propagation domain is modeled.Secondly,based on the characteristics of dynamic scheduling scenarios,a complete hybrid multicast scheduling mechanism is designed.We deeply analyzes the entire dynamic process of user joining in the transmission field,and divides it into low-load scenarios and high-load scenarios according to different network load rates,According to the characteristics of different scenarios,a corresponding scheduling mechanism is designed.Then,the optimization effects of different heuristic optimization algorithms on the hybrid multicast scheduling model are compared,evaluated and screened.This paper designs a series of comparative experiments,analyzes and compares the optimization effects of different algorithms on the proposed scheme from the two aspects of solution accuracy and speed,and finally selects the HPSO_SSM algorithm with the best performance as the solution algorithm of the hybrid multicast scheduling model.Finally,on the 5G hybrid multicast experimental verification platform based on Open5GS and UERANSIM open source framework,the hybrid multicast scheduling mechanism proposed in this paper is deployed and operated,and simulation experiments are carried out for different scheduling scenarios,and the optimization performance of the proposed scheme is compared and evaluated.Experimental results show that the scheme in this paper is significantly better than other comparison schemes,and has good applicability and effectiveness in dynamic scheduling scenarios.