收稿日期: 2016-01-07
网络出版日期: 2016-11-15
基金资助
863计划项目（2014AA01A702）资助
Collaborative filtering-based cache determination and user association in dense small cell networks
Received date: 2016-01-07
Online published: 2016-11-15
余江 , 邱玲 . 密集小站网络下基于协作滤波的缓存内容决策和用户归属[J]. 中国科学院大学学报, 2016 , 33(6) : 802 -807 . DOI: 10.7523/j.issn.2095-6134.2016.06.012
In response to the explosive increase of data, it is necessary to deploy cache in small cells to relieve the pressure of capacity-constrained backhauls. Considering vast personalized information implied in the user history logs, we utilize a user-based Top N collaborative filtering recommender system to predict user requests and determine cache contents, and propose a user association scheme maximizing the system throughput. Through relaxing the constraints, we find the relationship between user association and ratio of user throughput, and propose a low-complexity algorithm. Simulation results show the obvious gains in hit-ratio and system throughput compared to the existing algorithms.
Key words： dense small cells; collaborative filtering; cache; user association
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