Delay-constrained sleeping mechanism for energy saving in cache-aided ultra-dense network  

作　　者：Pei LI Shulei GONG Shen GAO Yaoyue HU Zhiwen PAN Xiaohu YOU 

机构地区：[1]National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China [2]Institute of Space-Terrestrial Intelligent Networks, School of Electronic Science and Engineering, Nanjing University, Nanjing 210093, China [3]China Mobile Group Jiangsu Co., Ltd., Nanjing 210029, China

出　　处：《Science China(Information Sciences)》2019年第8期127-140,共14页中国科学（信息科学）（英文版）

基　　金：supported by National Major Project (Grant No. 2017ZX03001002-004);National Natural Science Foundation Project of China (Grant No. 61521061);333 Program of Jiangsu (Grant No. BRA2017366)

摘　　要：We investigate an energy-saving sleeping mechanism in a cache-aided ultra-dense network(UDN)with delay constraints. As in existing works, we consider the video and file contents of the UDN. The video contents are cached at and delivered by a small-cell base-station(sBS). The cache-aided sBS cooperates with a macro-cell base-station(mBS) to service the file contents. The optimal sleeping strategy that conserves energy under the delay constraint is formulated as an energy-consumption minimization problem under the network stability condition with a guaranteed delay constraint. To find its solution, the minimization problem is transformed into a joint optimization problem of energy consumption and delay by the Lyapunov technique.A delay-constrained sleeping algorithm is proposed, and its effectiveness is confirmed by the numerical results of a simulation study. A tradeoff between energy consumption and delay, achieved by adjusting the weighting factor in the cache-aided UDN, is also demonstrated.We investigate an energy-saving sleeping mechanism in a cache-aided ultra-dense network(UDN)with delay constraints. As in existing works, we consider the video and file contents of the UDN. The video contents are cached at and delivered by a small-cell base-station(sBS). The cache-aided sBS cooperates with a macro-cell base-station(mBS) to service the file contents. The optimal sleeping strategy that conserves energy under the delay constraint is formulated as an energy-consumption minimization problem under the network stability condition with a guaranteed delay constraint. To find its solution, the minimization problem is transformed into a joint optimization problem of energy consumption and delay by the Lyapunov technique.A delay-constrained sleeping algorithm is proposed, and its effectiveness is confirmed by the numerical results of a simulation study. A tradeoff between energy consumption and delay, achieved by adjusting the weighting factor in the cache-aided UDN, is also demonstrated.

关 键 词：ultra-dense networks SLEEPING MECHANISM mean delay CACHING strategy energy SAVING 

分 类 号：TP[自动化与计算机技术]