A Q-learning-based Downlink Power Control Algorithm for Energy Efficiency in LTE Femtocells

被引：3
|
作者：
Huang, Lianfen [1 ]
Wen, Bin [1 ]
Gao, Zhibin [1 ]
Cai, Hongxiang [2 ]
Li, Yujie [1 ]
机构：
[1] Xiamen Univ, Dept Commun Engn, Xiamen, Fujian Province, Peoples R China
[2] China Mobile Commun Corp, Fujiang, Fujian, Peoples R China
来源：
MECHATRONICS ENGINEERING, COMPUTING AND INFORMATION TECHNOLOGY | 2014年 / 556-562卷
基金：
中国国家自然科学基金;
关键词：
LTE; Q-learning; heterogeneous network; energy efficiency; power control;
D O I：
10.4028/www.scientific.net/AMM.556-562.1766
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Femtocell is introduced to improve indoor coverage, which is beneficial for both users and operators. But it will also inevitably produce interference management issues in the heterogeneous network which consists of femtocells and macrocells. In this paper, a decentralized Q-learning-based power control strategy is proposed, comparing with homogenous power allocation and smart power control (SPC) algorithm. Simulation results have shown that Q-learning-based power control algorithm can implement the compromise of capacity between macrocells and femtocells, and greatly enhance energy efficiency of the whole network.
引用
收藏
页码：1766 / +
页数：2
相关论文
共 50 条
  • [1] Q-Learning-Based Power Control for LTE Enterprise Femtocell Networks
    Gao, Zhibin
    Wen, Bin
    Huang, Lianfen
    Chen, Canbin
    Su, Ziwen
    [J]. IEEE SYSTEMS JOURNAL, 2017, 11 (04): : 2699 - 2707
  • [2] Autonomous Downlink Power Control for LTE Femtocells based on Channel Quality Indicator
    Xu, Xiang
    Kutrolli, Gledi
    Mathar, Rudolf
    [J]. 2013 IEEE 24TH INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR, AND MOBILE RADIO COMMUNICATIONS (PIMRC), 2013, : 3050 - 3055
  • [3] A Q-Learning-Based Approach for Enhancing Energy Efficiency of Bluetooth Low Energy
    Fu, Xing
    Lopez-Estrada, Loberi
    Kim, Jeong Geun
    [J]. IEEE ACCESS, 2021, 9 : 21286 - 21295
  • [4] Q-Learning-Based Adaptive Power Control in Wireless RF Energy Harvesting Heterogeneous Networks
    Zhang, Ruichen
    Xiong, Ke
    Guo, Wei
    Yang, Xi
    Fan, Pingyi
    Ben Letaief, Khaled
    [J]. IEEE SYSTEMS JOURNAL, 2021, 15 (02): : 1861 - 1872
  • [5] Autonomous Downlink Interference Control for LTE Femtocells in Residential Deployment
    Kimura, Dai
    Otonari, Junji
    Seki, Hiroyuki
    [J]. 2013 IEEE 24TH INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR, AND MOBILE RADIO COMMUNICATIONS (PIMRC), 2013, : 392 - 396
  • [6] A Downlink Power Control Heuristic Algorithm for LTE Networks
    Yassin, Mohamad
    Lahoud, Samer
    Ibrahim, Marc
    Khawam, Kinda
    [J]. 2014 21ST INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS (ICT), 2014, : 323 - 327
  • [7] A Q-Ieaming-based Downlink Resource Scheduling Method for Capacity Optimization in LTE Femtocells
    Wen, Bin
    Gao, Zhibin
    Huang, Lianfen
    Tang, Yuliang
    Cai, Hongxiang
    [J]. 2014 PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE & EDUCATION (ICCSE 2014), 2014, : 625 - 628
  • [8] A Q-learning-based downlink scheduling in 5G systems
    Liu, Jung-Chun
    Susanto, Heru
    Huang, Chi-Jan
    Tsai, Kun-Lin
    Leu, Fang-Yie
    Hong, Zhi-Qian
    [J]. WIRELESS NETWORKS, 2023,
  • [9] Multiagent Q-Learning-Based Multi-UAV Wireless Networks for Maximizing Energy Efficiency: Deployment and Power Control Strategy Design
    Lee, Seungmin
    Yu, Heejung
    Lee, Howon
    [J]. IEEE INTERNET OF THINGS JOURNAL, 2022, 9 (09) : 6434 - 6442
  • [10] Q-Learning-Based Model Predictive Control for Energy Management in Residential Aggregator
    Ojand, Kianoosh
    Dagdougui, Hanane
    [J]. IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2022, 19 (01) : 70 - 81
12345