A robust power control scheme for femtocell networks with probability constraint of channel gains

被引:0
|
作者
Zhixin Liu
Shiyi Li
Xinping Guan
Kit Yan Chan
机构
[1] Yanshan University,Institute of Electrical Engineering
[2] Shanghai Jiaotong University,School of Electronic, Information and Electrical Engineering
[3] Curtin University,Department of Electrical and Computer Engineering
关键词
Femtocell networks; Power control; Probability constraint; Robust optimization;
D O I
暂无
中图分类号
学科分类号
摘要
In this paper, a robust power control algorithm is proposed in two-tier femtocell network system in order to address the uncertain channel gains of the interference links. In the algorithm, an outage probability is used to guarantee the communication qualities of users. As the deterministic form of the outage probability constraint is not convex of power, a novel and simple method is utilized to solve the power allocation problem. The allocation solution can be determined based on the average channel gains which are engaged with a dynamic factor with average signal-to-interference-plus-noise ratio. In the scheme, a dynamic power adjustment algorithm is developed. The algorithm attempts to guarantee the outage probability requirement of the macrocell user, and to achieve the optimal power allocation of femtocell users. Apart from the appropriate resource for the network, an admission control algorithm is adopted to remove the femtocell user whose communication quality can not be ensured. Numerical results demonstrate the effectiveness of the robust power control algorithm and also explain the admission control algorithm.
引用
收藏
页码:21 / 33
页数:12
相关论文
共 50 条
  • [1] A robust power control scheme for femtocell networks with probability constraint of channel gains
    Liu, Zhixin
    Li, Shiyi
    Guan, Xinping
    Chan, Kit Yan
    [J]. PEER-TO-PEER NETWORKING AND APPLICATIONS, 2018, 11 (01) : 21 - 33
  • [2] Robust power control with probability constraint for co-channel two-tier femtocell networks
    Li, Shiyi
    Liu, Zhixin
    Li, Xinbin
    Yang, Hongjiu
    [J]. 2015 34TH CHINESE CONTROL CONFERENCE (CCC), 2015, : 7730 - 7735
  • [3] Robust power control for femtocell networks with imperfect channel state information
    Liu, Zhixin
    Zhang, Peng
    Guan, Xinping
    Li, Xinbin
    Yang, Hongjiu
    [J]. IET COMMUNICATIONS, 2016, 10 (08) : 882 - 890
  • [4] Robust optimisation of power control for femtocell networks
    Liu, Zhixin
    Wang, Jinle
    Xia, Yuanqing
    Yang, Hongjiu
    [J]. IET SIGNAL PROCESSING, 2013, 7 (05) : 360 - 367
  • [5] A Novel Power Control Scheme for Femtocell in Heterogeneous Networks
    Zhang, Jinzhu
    Hong, Peilin
    Xue, Kaiping
    Zhang, Hao
    [J]. 2012 IEEE CONSUMER COMMUNICATIONS AND NETWORKING CONFERENCE (CCNC), 2012, : 802 - 806
  • [6] Robust Secrecy Transmission for Two-tier Femtocell Networks under Probability Constraint
    Liu, Zhixin
    Wang, Sainan
    Zhang, Peng
    Ma, Kai
    Li, Xinbin
    [J]. PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017), 2017, : 8952 - 8957
  • [7] Robust uplink power control for co-channel two-tier femtocell networks
    Guan, Xinping
    Han, Qiaoni
    Ma, Kai
    Wang, Xiaocheng
    [J]. AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS, 2013, 67 (06) : 504 - 512
  • [8] Power Control under QoS and Interference Constraint in Femtocell Cognitive Networks
    Do, Cuong T.
    Dang, Duc Ngoc Minh
    LeAnh, Tuan
    Tran, Nguyen H.
    Haw, Rim
    Hong, Choong Seon
    [J]. 2014 INTERNATIONAL CONFERENCE ON INFORMATION NETWORKING (ICOIN 2014), 2014, : 292 - 297
  • [9] Dynamic Channel Allocation and Power Control for OFDMA Femtocell Networks
    Chen, Sing-Han
    Hou, Ting-Chao
    [J]. 2014 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), 2014, : 1721 - 1726
  • [10] Decentralized Power Control Scheme in Femtocell Networks: A Game Theoretic Approach
    Hong, Eun Jin
    Yun, Se Young
    Cho, Dong-Ho
    [J]. 2009 IEEE 20TH INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS, 2009, : 415 - 419