Research On Data Processing And Transmission Technology In Tactile Internet

With the development of mobile communication and multimedia technology,multimedia services are evolving from traditional single,flat,and responsive content services to immersive,threedimensional,and interactive technical services.On the basis of traditional multimedia communication,Tactile Internet has added new haptic media to realize the evolution of object perception modes,which can perceive subtle changes at the remote end and improve user service experience.However,Tactile Internet places higher requirements on the communication environment.The network delay must be as low as milliseconds,and the reliability of network communication must be at least as high as99.9999%.How to ensure ultra-reliable and low-latency communications has become a key issue in the development of Tactile Internet.Based on the characteristics of Tactile Internet scene,this paper conducts research on the ultra-reliable low-latency communication related technologies in Tactile Internet scene.In the typical communication scene,the tactile task offloading and prediction strategy is developed,which improves the delay and reliability performance and improves users.Experience.The specific work of this paper is as follows:First,this article studies and summarizes the opportunities and challenges faced by ultra-reliable low-latency communications in Tactile Internet scenario.On the basis of analyzing the characteristics of mobile edge computing offloading technology and machine learning technology,this article clarifies its significance for improving the service experience of tactile users.At the same time,through the analysis and combing of traditional multimedia communication and offloading strategies,combined with the scene characteristics of Taptic Internet,this article summarizes the key scientific issues affecting ultra-reliable and low-latency communications in the haptic Internet,and uses it as an entry point for research work.Based on this,the strategy design is carried out.Secondly,this paper proposes a tactile task offloading strategy based on mobile edge computing.In order to reasonably characterize the fine-grained physical interaction needs of tactile users,this paper designs a Qo E evaluation method that comprehensively considers latency and reliability indicators and personalized user preference parameters,and models the MEC computing offload in Tactile Internet scenario.In this model,this paper proposes an optimization problem with Qo E as the optimization target,and proposes an offloading decision-making and resource allocation algorithm.The simulation results show that the offloading strategy in this paper improves user Qo E performance compared with the reference strategy,and is suitable for Tactile Internet scenario with ultra-reliable and low-latency communications.Finally,this paper proposes a haptic data prediction strategy based on contextual data.For Tactile Internet scenarios where data packets are timed out or lost,the tactile communication system needs to combine experience to accurately predict the missing tactile data to improve service performance.This paper firstly models the remote machine control in Tactile Internet,and obtains the mathematical expression of missing data.At the same time,this paper proposes a low-rank sparse decomposition method to preprocess the data to reduce the delay caused by prediction.Based on the temporal and spatial context-related data,the composite kernel function of the multi-objective Gaussian process is derived.The simulation results show that the prediction strategy in this paper can significantly improve the prediction performance,shorten the prediction time,and ensure the service experience of tactile users.