Heterogeneous network joint user correlation and content cache method

Abstract

The invention relates to a heterogeneous network joint user correlation and a content cache method. The method includes: (1) carrying out modeling on user business requirement characteristics; (2) establishing content cache variables of a cellular base station BS and a WLAN access point AP, and carrying out modeling on qualifications; (3) carrying out modeling on user correlation variables and qualifications; (4) carrying out modeling on user total transmission time delay; (5) carrying out modeling on time delay corresponding to a user access BS; (6) carrying out modeling on time delay corresponding to a user access AP; (7) carrying out modeling on time delay corresponding to user backhaul transmission at the BS or the AP; (8) carrying out modeling on user transmission data speed and qualifications; (9) on the basis of minimization of the user total transmission time delay, determining an optimizing strategy of distribution of the user correlation and cache contents. According to the method, transmission performance and user experience are effectively ensured, the content cache is individually carried out, optimal distribution of the user correlation and the cache contents are reached, and the minimization of the user total transmission time delay is achieved.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, in particular to the technical field of heterogeneous network resource allocation, and relates to a heterogeneous network joint user association and content caching method. Background technique [0002] With the rapid development of computer and communication technology, user business needs are increasingly diversified, and the next-generation communication network will develop towards the trend of heterogeneity and gradually move towards interconnection. In order to meet the market demand, various wireless access technologies have appeared one after another, such as cellular network, local area network and so on. Due to the limitations of a single wireless access technology in terms of coverage and transmission rate, it cannot fully meet the business needs of different users, and the future communication network will realize the effective integration of multiple access technologie...

AI Technical Summary

Problems solved by technology

[0006] The above studies determine the optimal resource allocation strategy for the corresponding performance function based on optimization theory by modeling a specific network performance function. However, the existing research rarely considers the differences of heterogeneous networks, the diversity of user business needs, and the status of network resources. Differences and other issues, it is difficult to achieve comprehensive network performance optimization

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