Q-Learning Assisted Energy-Aware Traffic Offloading and Cell Switching in Heterogeneous Networks

Q-Learning Assisted Energy-Aware Traffic Offloading and Cell Switching in Heterogeneous Networks
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Q-Learning 辅助异构网络中的能源感知流量卸载和单元切换

DOI:
10.1109/camad.2019.8858474
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发表时间:
2019
期刊:
--
影响因子:
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通讯作者:
Abubakar A
Abubakar A
中科院分区:
--
文献类型:
--
作者:
Abubakar A

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蜂窝交换已被确定为显著降低异构网络(HetNets)能耗的主要方法。小区切换背后的主要思想是关闭空闲或负载较轻的基站(BSs),并将其流量卸载到邻近的活动小区。然而,文献中尚未充分研究卸载流量对邻近小区功耗的影响,从而导致次优小区切换机制的发展。在这项工作中,我们首先考虑了一个控制/数据分离架构(CDSA),其中一个宏单元作为控制基站(CBS),多个小单元作为数据基站(DBS)。然后,开发了一种q学习辅助细胞切换算法,通过考虑休眠细胞由于卸载流量而导致的宏细胞功耗增加来确定要关闭的小细胞。还考虑了宏单元的容量,以确保维持用户的服务质量(QoS)需求。仿真结果表明,在所考虑的HetNet场景中,所提出的小区交换算法可以将总能耗降低50%。
Cell switching has been identified as a major approach to significantly reduce the energy consumption of Heterogeneous Networks (HetNets). The main idea behind cell switching is to turn off idle or lightly loaded Base Stations (BSs) and to offload their traffic to neighbouring active cell(s). However, the impact of the offloaded traffic on the power consumption of the neighbouring cell(s) has not been studied sufficiently in the literature, thereby leading to the development of sub-optimal cell switching mechanisms. In this work, we first considered a Control/Data Separated Architecture (CDSA) with a macro cell serving as the Control Base Station (CBS) and multiple small cells as Data Base Stations (DBS). Then, a Q-learning assisted cell switching algorithm is developed in order to determine the small cells to switch off by considering the increase in power consumption of the macro cell due to offloaded traffic from the sleeping cells. The capacity of the macro cell is also taken into consideration to ensure that the Quality of Service (QoS) requirements of users are maintained. Simulation results show that the proposed cell switching algorithm can achieve up to 50% reduction in the total energy consumption of the considered HetNet scenario.
5G 网络中高级睡眠模式管理的强化学习方法
DOI: 10.1109/vtcfall.2018.8690555
发表时间: 2018
期刊: 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall)
影响因子: --
作者:
F. Salem;Z. Altman;A. Gati;T. Chahed;E. Altman
通讯作者: E. Altman