Optimal Power Allocation for Multiuser OFDM-Based Cognitive Heterogeneous Networks

被引:0
|
作者
Xu, Yongjun [1 ,2 ]
Hu, Yuan [1 ]
Chen, Qianbin [1 ]
Zhang, Shun [2 ]
机构
[1] Chongqing Univ Posts & Telecommun, Chongqing Key Lab Mobile Commun Technol, Chongqing 400065, Peoples R China
[2] Xidian Univ, State Key Lab Integrated Serv Networks, Xian 710071, Shaanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
cognitive heterogeneous networks; power allocation; geometric programming; lagrange dual method; RESOURCE-ALLOCATION; RADIO NETWORKS; CONSTRAINTS; SCHEME;
D O I
暂无
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
Heterogeneous network (HetNet) as a promising technology to improve spectrum efficiency and system capacity has been concerned by many scholars, which brings huge challenges for power allocation and interference management in multicell network structures. Although some works have been done for power allocation in heterogeneous femtocell networks, most of them focus centralized schemes for single-cell network under interference constraint of macrocell user. In this paper, a sum-rate maximization based power allocation algorithm is proposed for a downlink cognitive HetNet with one macro cell network and multiple microcell networks. The original power allocation optimization problem with the consideration of cross-tier interference constraint, maximum transmit power constraint of microcell base station and inter-cell interference of microcell networks is converted into a geometric programming problem which can be solved by Lagrange dual method in a distributed way. Simulation results demonstrate the performance and effectiveness of the proposed algorithm by comparing with the equal power allocation scheme.
引用
收藏
页码:52 / 61
页数:10
相关论文
共 50 条
  • [1] Optimal Power Allocation for Multiuser OFDM-Based Cognitive Heterogeneous Networks
    Yongjun Xu
    Yuan Hu
    Qianbin Chen
    Shun Zhang
    中国通信, 2017, 14 (09) : 52 - 61
  • [2] Power allocation for OFDM-based cognitive heterogeneous networks
    FEI ZeSong
    XING ChengWen
    LI Na
    HAN YanTao
    DANEV Danyo
    KUANG JingMing
    Science China(Information Sciences), 2013, 56 (04) : 103 - 112
  • [3] Power allocation for OFDM-based cognitive heterogeneous networks
    ZeSong Fei
    ChengWen Xing
    Na Li
    YanTao Han
    Danyo Danev
    JingMing Kuang
    Science China Information Sciences, 2013, 56 : 1 - 10
  • [4] Power allocation for OFDM-based cognitive heterogeneous networks
    Fei ZeSong
    Xing ChengWen
    Li Na
    Han YanTao
    Danev, Danyo
    Kuang JingMing
    SCIENCE CHINA-INFORMATION SCIENCES, 2013, 56 (04) : 1 - 10
  • [5] Fast Optimal Resource Allocation is Possible for Multiuser OFDM-Based Cognitive Radio Networks with Heterogeneous Services
    Ge, Mengyao
    Wang, Shaowei
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2012, 11 (04) : 1500 - 1509
  • [6] Resource Allocation for Heterogeneous Multiuser OFDM-based Cognitive Radio Networks with Imperfect Spectrum Sensing
    Wang, Shaowei
    Zhou, Zhi-Hua
    Ge, Mengyao
    Wang, Chonggang
    2012 PROCEEDINGS IEEE INFOCOM, 2012, : 2264 - 2272
  • [7] Power Allocation in OFDM-Based Cognitive Networks with Interference
    Zhao, Chengshi
    Zou, Mingrui
    Shen, Bin
    Kwak, Kyungsup
    THIRD 2008 INTERNATIONAL CONFERENCE ON CONVERGENCE AND HYBRID INFORMATION TECHNOLOGY, VOL 1, PROCEEDINGS, 2008, : 797 - 800
  • [8] Power Allocation in OFDM-Based Cognitive Relay Networks
    Kaiser, M. Shamim
    Ahmed, Kazi M.
    Shah, Raza Ali
    2010 IEEE INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND INFORMATION SECURITY (WCNIS), VOL 1, 2010, : 202 - 206
  • [9] Optimal Power Allocation for OFDM-based Cooperative Relay Cognitive Radio Networks
    Wang, Shaowei
    Huang, Fangjiang
    Ge, Mengyao
    Wang, Chonggang
    2012 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2012,
  • [10] Energy Efficiency Optimization for multiuser OFDM-based Cognitive Heterogeneous networks
    Ning, Bing
    Zhang, Aihua
    Hao, Wanming
    Li, Jianjun
    Yang, Shouyi
    KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, 2019, 13 (06): : 2873 - 2892