Energy and Delay Optimization for Cache-Enabled Dense Small Cell Networks

被引:15
|
作者
Wu, Hao [1 ]
Lu, Hancheng [1 ]
Wu, Feng [2 ]
Chen, Chang Wen [3 ,4 ,5 ]
机构
[1] Univ Sci & Technol China, CAS Key Lab Wireless Opt Commun, Hefei 230027, Peoples R China
[2] Univ Sci & Technol China, Hefei 230027, Peoples R China
[3] Chinese Univ Hong Kong, Sch Sci & Engn, Shenzhen 518172, Peoples R China
[4] Peng Cheng Lab, Shenzhen 518066, Peoples R China
[5] SUNY Buffalo, Dept Comp Sci & Engn, Buffalo, NY 14214 USA
基金
美国国家科学基金会;
关键词
Delays; Optimization; Power control; Energy consumption; Wireless communication; Interference; Caching; dense small cell networks; energy-delay optimization; file popularity; RESOURCE-ALLOCATION; VIDEO; DELIVERY;
D O I
10.1109/TVT.2020.2989033
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
In Cache-enabled dense small cell networks (DSCNs), energy consumption and file delivery delay are two critical performance metrics. On the other hand, power control is an essential mechanism to mitigate inter-cell interference in DSCNs. However, the impact of power control at small base stations (SBSs) on the system performance when caches are involved has not been well studied. Observing energy consumption and file delivery delay are coupled with each other in cache-enabled DSCNs, different from existing studies, we attempt to optimize these two performance metrics at the same time, taking into account sophisticated power control at SBSs. Firstly, we formulate the energy-delay optimization problem as a utility maximization problem, where cooperative power control among SBSs, file placement and user association are considered. Then, we solve the optimization problem in two stages (i.e., caching stage and delivery stage), based on the fact that caching is performed during off-peak time. At the caching stage, a local popular file placement policy is proposed by estimating user preference at each SBS. At the delivery stage, with given caching status at SBSs, the optimization problem is further decomposed by Benders' decomposition method. An efficient algorithm is proposed to approach the optimal association and power solution by iteratively shrinking the gap of the upper and lower bounds. Finally, extensive simulations are performed to validate our analytical and algorithmic work. The results demonstrate that the proposed algorithms can achieve a better tradeoff between energy consumption and file delivery delay than the existing algorithms.
引用
收藏
页码:7663 / 7678
页数:16
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