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Caching deployment based on energy efficiency in device-to-device cooperative networks
International Journal of Distributed Sensor Networks ( IF 2.3 ) Pub Date : 2020-12-01 , DOI: 10.1177/1550147720984659
Weiguang Wang 1 , Hui Li 1 , Yang Liu 1 , Wei Cheng 1 , Haoyang Qin 1
Affiliation  

The rapid growth of mobile data traffic demand will cause congestion to the future communication network. The cache-enabled device-to-device communication has been proven to effectively enhance the performance of wireless communication networks. This article investigates the caching deployment problem from the energy efficiency in the cache-enabled device-to-device networks. According to the random geometry theory modeling, the closed form expression of energy efficiency is derived, which measures the average number of successful transmitted file bits per unit time and per unit power consumption. And then we establish an optimization problem to maximize energy efficiency. As the formulated optimization problem is a multiple-ratio fractional programming problem that cannot be solved conveniently, we propose a quadratic transformation method to nest in the energy efficiency maximization problem. To tackle this problem, an iterative optimization algorithm is proposed to optimize the caching policy and network energy efficiency. The simulation results demonstrate that the proposed policy can achieve higher energy efficiency and hit probability in the cache-enabled device-to-device network.

中文翻译:

端对端协同网络中基于能效的缓存部署

移动数据流量需求的快速增长将对未来的通信网络造成拥塞。已证明启用缓存的设备到设备通信可有效增强无线通信网络的性能。本文从启用缓存的设备到设备网络中的能源效率来研究缓存部署问题。根据随机几何理论建模,推导出能量效率的闭式表达式,其度量单位时间和单位功耗的平均成功传输文件比特数。然后我们建立一个优化问题来最大化能源效率。由于公式化的优化问题是一个不能方便求解的多比分数规划问题,我们提出了一种二次变换方法来嵌套能源效率最大化问题。为了解决这个问题,提出了一种迭代优化算法来优化缓存策略和网络能量效率。仿真结果表明,所提出的策略可以在启用缓存的设备到设备网络中实现更高的能源效率和命中概率。
更新日期:2020-12-01
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