| 基于Sarsa学习的基站休眠策略研究 |
| |
| 引用本文： | 杨海,吴静.基于Sarsa学习的基站休眠策略研究[J].重庆邮电大学学报(自然科学版),2020,32(4):536-543. |
| |
| 作者姓名： | 杨海 吴静 |
| |
| 作者单位： | 中国西南电子技术研究所,成都 610036;重庆邮电大学 通信与信息工程学院,重庆 400065 |
| |
| 基金项目： | 重庆市“科技创新领军人才支持计划”(CSTCCXLJRC201710);重庆市基础科学与前沿技术研究项目(cstc2017jcyjBX0005) |
| |
| 摘 要： | 在异构Macro-femto蜂窝网络中，随着日益增长的用户数量使得基站能耗问题变得更加严峻，提升整个移动系统能效的有效方式就是进行基站休眠。根据无模型理论提出一种基于Sarsa学习的动态基站休眠算法，算法通过基站学习环境中的用户流量，制定合理的休眠机制。仿真结果表明，提出的基于Sarsa学习的基站休眠算法能够有效提升系统能效
|
| 关 键 词： | 异构蜂窝网络 系统能效 基站休眠 Sarsa学习 |
| 收稿时间： | 2020/6/17 0:00:00 |
| 修稿时间： | 2020/7/20 0:00:00 |
Research on sleeping strategy of base station based on Sarsa learning |
| |
| YANG Hai,WU Jing.Research on sleeping strategy of base station based on Sarsa learning[J].Journal of Chongqing University of Posts and Telecommunications,2020,32(4):536-543. |
| |
| Authors: | YANG Hai WU Jing |
| |
| Institution: | Southwest China Institute of Electronic Technology, Chengdu 610036, P.R.China; School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 4000065, P.R.China |
| |
| Abstract: | With the increasing mobile users, the problem of base station energy consumption becomes more serious in macro-femto heterogeneous cellular network. The technology of base station sleep is an effective way to improve the energy efficiency of the mobile system. In the paper, a dynamic base station sleep algorithm based on Sarsa learning is proposed based on model-free theory. In this algorithm,the base station learns the user traffic in the environment and interacts with other base stations to formulate a reasonable sleep mechanism. Simulation results show that the base station sleep algorithm based on Sarsa learning proposed in this paper can effectively improve the system energy efficiency. |
| |
| Keywords: | Heterogeneous cellular network system energy efficiency base station sleep Sarsa learning |
|
| 点击此处可从《重庆邮电大学学报(自然科学版)》浏览原始摘要信息 |
| 点击此处可从《重庆邮电大学学报(自然科学版)》下载免费的PDF全文 |
