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HETEROGENEOUS NETWORK CACHE DECISION-MAKING METHOD BASED ON USER PREFERENCE PREDICTION
HETEROGENEOUS NETWORK CACHE DECISION-MAKING METHOD BASED ON USER PREFERENCE PREDICTION
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机译：基于用户偏好预测的异构网络缓存决策方法
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摘要
Disclosed in the present invention is a heterogeneous network cache decision-making method based on user preference prediction. In the method, a macro base station, a small base station and D2D communication coexist, and the mobility and social relationship influence of users are considered. First, in a case that user preferences are unknown, a machine learning method is adopted to predict the user preferences according to request historical records of the user preferences; then, the average system cost is calculated by considering mobility, a physical position relationship and a social relationship of the users, an optimization problem of minimizing the average system cost is constructed by taking cache strategies of the small base station and the important users as variables under the constraint of cache capacity, and cache decision-making is performed by solving the problem. According to the method, the optimization problem of the present invention is solved based on the minimization problem of the super-mode function on a partition quasi-matrix, on the premise that the performance of the suboptimal solution is guaranteed, the calculation complexity of cache decision-making is greatly reduced, and therefore the system cost is greatly reduced by caching at a small base station and important users.
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