A content distribution method based on d2d and business offloading

Abstract

The invention discloses a content distribution method based on D2D and service unloading, which is applied to a fifth-generation mobile communication system, and belongs to the field of wireless communication. The method comprises the following steps of (1) constructing a popular content set; (2) constructing a user preference vector; (3) constructing a user cluster preference vector; (4) randomlyselecting a user cluster; (5) constructing a trade-off model of an unloading rate and energy consumption; (6) distributing popular contents; (7) calculating remaining storage space size; (8) judgingwhether the remaining storage space size is larger than 0 or not; (9) selecting a to-be-distributed content cluster; (10) judging whether the content distribution of all user clusters is completed ornot; and (11) completing the content distribution of all users. Compared with the traditional content distribution method, the method has the advantages that the high service unloading rate of a basestation is guaranteed while the energy consumption is considered, and the user experience quality is improved.

Description

technical field [0001] The present invention belongs to the field of wireless communication, and further relates to a content distribution method based on terminal-to-terminal D2D and service offloading in the technical field of wireless network resource allocation. The present invention can discover the user's point of interest according to the frequency data of the user's access to the content. Considering the D2D technology and ensuring the high efficiency of unloading the base station business and the low energy consumption of the base station, the base station selects a reasonable strategy to distribute the content it needs for the user. , to solve the problem of personalized recommendation for users, and solve the problem of service offloading and energy saving for base stations. Background technique [0002] With the rapid development of mobile Internet, in the scenario of dense users and huge service requests, it brings huge challenges to network management and infor...

AI Technical Summary

Problems solved by technology

The disadvantage of this method is that the user's interest is ignored when the function model is established, resulting in that the distributed content is not necessarily what the user is interested in, and energy consumption is not considered, which in turn affects the efficiency of user equipment offloading base station services , the energy consumption of the base station is large

The disadvantage of this method is that because the content is first cached in the regional cache unit and then distributed to users, the steps are complicated, consume a lot of network resources, and only consider the behavior characteristics of users without considering the popularity of content degree, so that the cache of the content is blind, the probability of users being interested in the distributed content is low, and the user experience is poor

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