Sleep Mechanism of Base Station Based on Minimum Energy Cost
Sleep Mechanism of Base Station Based on Minimum Energy Cost
复制标题
基于最小能量成本的基站休眠机制
DOI：
10.1155/2018/4202748
复制
发表时间：
2018-03
影响因子：
--
通讯作者：
Chen Zhixiong
中科院分区：
文献类型：
--
作者：
Han Dongsheng;Zheng Bing;Chen Zhixiong
部署密集网络是第五代通信的一种很有前途的技术，以满足移动的用户爆炸式增长带来的需求。然而，这种技术明显地增加了功耗，从而间接地对移动的网络运营商造成沉重的财政负担，并且CO2排放被认为是对环境的主要威胁。综合考虑储能装置、自放电效应和防止重复开关（PRS）机制，从功耗和经济成本两个方面研究了智能电网无线通信系统的综合电源管理模型。提出了两种基本的休眠机制，即能量消耗优先（ECF）算法和功耗优先（PCF）算法。ECF算法通过选择低成本的能量方案，以系统运行成本最小为目标。同时，PCF算法首先考虑最小功耗，然后优化成本。仿真结果表明，与传统方案相比，本文提出的两种算法可以显著降低通信基站系统的能量开销。设置储能装置可以进一步稳定能源成本，而与PRS机制结合时，开关频率可以在很大程度上降低。
Deploying dense network is a promising technique of fifth-generation communication to meet the challenge of soaring demand from explosive growth of mobile users. However, this technique obviously increases the power consumption, thereby indirectly causing heavy financial burden on mobile network operators and CO2 emission, which is considered as a major threat to the environment. In consideration of energy storage device, self-discharge effect, and preventing repeated switch (PRS) mechanism, a comprehensive power management model for wireless communication system in smart grid is investigated in this study from the power consumption and economic cost aspects. Two base sleep mechanisms, namely, energy cost first (ECF) algorithm and power consumption first (PCF) algorithm, are proposed. The ECF algorithm focuses on the minimum cost of system operation by selecting the low-cost energy scheme. Meanwhile, the PCF algorithm considers the minimum power consumption first and then optimizes the cost. Compared with conventional scheme, simulation results show that the two proposed algorithms can decrease the energy cost of communication base system significantly. Setting an energy storage device can further stabilize the energy cost, while the switching frequency can be reduced to a large extent when combined with the PRS mechanism.
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影响因子：
6.3
作者：
R. Kaewpuang;D. Niyato;Ping Wang
通讯作者：
R. Kaewpuang;D. Niyato;Ping Wang
影响因子：
16.4
作者：
Hauke Holtkamp;G. Auer;Samer Bazzi;H. Haas
通讯作者：
Hauke Holtkamp;G. Auer;Samer Bazzi;H. Haas
DOI：
10.1109/pimrc.2011.6139761
发表时间：
2011-09
期刊：
2011 IEEE 22nd International Symposium on Personal, Indoor and Mobile Radio Communications
影响因子：
--
作者：
Shengqian Han;Chenyang Yang;Gang Wang;M. Lei
通讯作者：
Shengqian Han;Chenyang Yang;Gang Wang;M. Lei
影响因子：
8.3
作者：
S. K. Mohammed
通讯作者：
S. K. Mohammed
影响因子：
16.4
作者：
K. Son;Hongseok Kim;Yung Yi;B. Krishnamachari
通讯作者：
K. Son;Hongseok Kim;Yung Yi;B. Krishnamachari