SMDP-based sleep policy for base stations in heterogeneous cellular networks
SMDP-based sleep policy for base stations in heterogeneous cellular networks
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异构蜂窝网络中基于 SMDP 的基站睡眠策略
DOI：
10.1016/j.dcan.2020.04.010
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发表时间：
2020-06
影响因子：
7.9
通讯作者：
Yongju Xian
中科院分区：
文献类型：
--
作者：
Jing Wu;Yun Li;Hongcheng Zhuang;Zhiwen Pan;Guoyin Wang;Yongju Xian
密集的异构蜂窝网络可以有效地增加系统容量，增强网络覆盖。它是新一代移动的通信系统的关键技术。小基站的密集部署不仅提高了网络服务质量，也带来了网络能耗的大幅增加。本文主要研究Macro-Femto异构蜂窝网络的能量效率优化问题。考虑到网络中接入用户的动态随机变化，为了节省网络能耗，采用半马尔可夫决策过程（SMDP）模型对毫微微基站（FBS）的休眠过程进行建模。在此基础上，给出了基于数值迭代的FBS动态休眠算法。仿真结果表明，提出的基于SMDP的FBS自适应休眠策略能有效降低网络能耗。
A dense heterogeneous cellular network can effectively increase the system capacity and enhance the network coverage. It is a key technology for the new generation of the mobile communication system. The dense deployment of small base stations not only improves the quality of network service, but also brings about a significant increase in network energy consumption. This paper mainly studies the energy efficiency optimization of the Macro-Femto heterogeneous cellular network. Considering the dynamic random changes of the access users in the network, the sleep process of the Femto Base Stations (FBSs) is modeled as a Semi-Markov Decision Process (SMDP) model in order to save the network energy consumption. And further, this paper gives the dynamic sleep algorithm of the FBS based on the value iteration. The simulation results show that the proposed SMDP-based adaptive sleep strategy of the FBS can effectively reduce the network energy consumption.
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