Energy-Aware Caching Policy Design Under Heterogeneous Interests and Sharing Willingness

被引:0
作者
Zhao, Kaichuan [1 ]
Zhang, Shan [2 ]
Zhou, Yuezhi [1 ]
Zhang, Yaoxue [1 ]
Shen, Xuemin [3 ]
机构
[1] Tsinghua Univ, Dept Comp Sci & Technol, Tsinghua Natl Lab Informat Sci & Technol, Beijing 100084, Peoples R China
[2] Beihang Univ, Sch Comp Sci & Engn, Beijing 100191, Peoples R China
[3] Univ Waterloo, Dept Elect & Comp Engn, Waterloo, ON, Canada
来源
ICC 2019 - 2019 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC) | 2019年
关键词
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
By exploiting the storage resources of end devices, local caching becomes a promising approach to reduce the latency and improve the throughput of content delivery. Considering battery constraints at end devices, this paper investigates energy-aware caching policy to minimize the power consumed in content delivery, taking into account the heterogeneity of interests and sharing willingness of different MSs. Specifically, MSs are divided into disjoint groups based on the preferences and sharing willingness, and each group customizes the caching policy accordingly. Both the non-coordinated and coordinated caching scenarios are considered. For the non-coordinated case, the problem is formulated as an optimization problem, which is proved to be concave and solved by Lagrange methods. For the coordinated caching case, a water-filling based iterative algorithm is proposed to get the optimal caching policies. Numerical results demonstrate that the designed caching policies can reduce the system energy consumption by around 10% - 20% comparing to the conventional ones without considering the heterogeneity of users.
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页数:6
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