User behavior learning method based on PST in wireless network
A technology of wireless network and learning method, which is applied in the direction of specific mathematical model, wireless communication, data exchange network, etc. It can solve the problems of unable to meet the growth of business capacity, and achieve the effect of fast traversal speed, improved network performance, and good theoretical performance
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[0040] Below in conjunction with accompanying drawing, the technical scheme of invention is described in detail:
[0041] The present invention proposes a PST-based user behavior learning algorithm, which divides business-based user behavior into four categories: no business (no business), conversational business (voice service, video conferencing), interactive business (web browsing , download), and streaming media services (video, audio), a single user can generate a 4-ary user behavior sequence within a period of time. The training behavior sequence is used to predict the behavior that may occur in the next time period, so as to determine the type of business, and then select the appropriate network resources to provide users with high-quality business. This solution combines the learning and training method of PST state tree and the prediction method based on variable length Markov model, which effectively improves the accuracy of user behavior prediction.
[0042] The pr...
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