Energy-Efficient Caching for Scalable Videos in Heterogeneous Networks

被引:40
作者
Zhang, Xuewei [1 ]
Lv, Tiejun [1 ]
Ni, Wei [2 ]
Cioffi, John M. [3 ]
Beaulieu, Norman C. [1 ]
Guo, Y. Jay [4 ]
机构
[1] Beijing Univ Posts & Telecommun, Sch Informat & Commun Engn, Beijing 100876, Peoples R China
[2] CSIR, Data61, Sydney, NSW 2122, Australia
[3] Stanford Univ, Dept Elect Engn, Stanford, CA 94305 USA
[4] Univ Technol Sydney, Global Big Data Technol Ctr, Ultimo, NSW 2007, Australia
基金
中国国家自然科学基金;
关键词
Energy efficiency (EE); heterogeneous networks; scalable video coding (SVC); standard gradient projection method; wireless caching; DELIVERY; DESIGN;
D O I
10.1109/JSAC.2018.2844998
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 suppressing repeated content deliveries, wireless caching has the potential to substantially improve the energy efficiency (EE) of the fifth-generation communication networks. In this paper, we propose two novel energy-efficient caching schemes in heterogeneous networks, namely, scalable video coding (SVC)-based fractional caching and SVC-based random caching, which can provide on-demand video services with different perceptual qualities. We derive the expressions for successful transmission probabilities and ergodic service rates. Based on the derivations and the established power consumption models, the EE maximization problems are formulated for the two proposed caching schemes. By taking logarithmic approximations of the l(0)-norm, the problems are efficiently solved by the standard gradient projection method. Numerical results validate the theoretical analysis and demonstrate the superiority of our proposed caching schemes, compared to three benchmark strategies.
引用
收藏
页码:1802 / 1815
页数:14
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