Efficient caching strategy based on graph coloring for moving users in ultra dense networks

被引：0
作者：
Chengjia H. [1 ]
Xi L. [1 ]
Hong J. [1 ]
Heli Z. [1 ]
机构：
[1] Key Laboratory of Universal Wireless Communications, Beijing University of Posts and Telecommunications, Beijing
来源：
Journal of China Universities of Posts and Telecommunications | 2019年 / 26卷 / 03期
基金：
中国国家自然科学基金;
关键词：
Caching; Download delay; Graph coloring; Moving user; Ultra dense network;
D O I：
10.19682/j.cnki.1005-8885.2019.0011
中图分类号：
学科分类号：
摘要：
Caching popular files in small-cell base stations (SBSs) is considered as a promising technique to meet the demand of ever growing mobile data traffic in ultra dense networks (UDNs). Considering the limited cache capacity and dense deployment of SBSs, how to support uninterrupted and successful caching downloading for moving users is still a challenging problem. In this paper, a graph-coloring-based caching (GCC) algorithm in UDN for moving user under limited SBS storage capacities is proposed. Firstly, considering there may be downloading interruption or even failure due to the random moving of users and small coverage of SBSs, graph coloring algorithm (GCA) is employed for grouping the SBS to cache fragments of several files. Then, the problem of how to conduct caching placement on SBSs is formulated aiming to maximize the amount of data downloaded from SBSs. Finally, an efficient heuristic solution is proposed to get an optimal result. Simulation results show that the algorithm performs better than other caching strategies in prior work, in terms of reducing both backhaul traffic and user download delay. © 2019, Beijing University of Posts and Telecommunications. All rights reserved.
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页码：1 / 7
页数：6
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