期刊文献+

Optimal Power Allocation for Multiuser OFDM-Based Cognitive Heterogeneous Networks 被引量:6

Optimal Power Allocation for Multiuser OFDM-Based Cognitive Heterogeneous Networks
下载PDF
导出
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 Het Net with one macrocell 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. 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 Het Net with one macrocell 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.
出处 《China Communications》 SCIE CSCD 2017年第9期52-61,共10页 中国通信(英文版)
基金 supported by the National Natural Science Foundation of China (Grant No.61601071) the Scientific and Technological Research Program of Chongqing Municipal Education Commission (Grant No.KJ16004012) the Municipal Natural Science Foundation of Chongqing (Grant No.CSTC2016JCYJA2197) the Seventeenth Open Foundation of State Key Lab of Integrated Services Networks of Xidian University (Grant No.ISN17-01) the Dr. Startup Founds of Chongqing University of Posts and Telecommunications (Grant No.A2016-12)
关键词 COGNITIVE HETEROGENEOUS net-works power ALLOCATION GEOMETRIC program-ming LAGRANGE dual method cognitive heterogeneous networks power allocation geometric programming lagrange dual method
  • 相关文献

参考文献3

二级参考文献34

  • 1SHEN ChangXiang,ZHANG HuangGuo,FENG DengGuo,CAO ZhenFu,HUANG JiWu.Survey of information security[J].Science in China(Series F),2007,50(3):273-298. 被引量:40
  • 2Tian H, Gao S, Zhu J, et al. Improved component carrier selection method for non-continuous carrier aggregation in Ite-advanced systems[C]. 2011 IEEE Vehicular Technology Conf. (VTC Fail), 2011,1-S.
  • 33GPP. Feasibility study for Further Advancements for E-UTRA (LTEAdvanced). TR 36.912, 3rd Generation Partnership Project (3GPP), June 2010.
  • 4Pedersen K, Frederiksen F, Rosa C, et at. Carrier aggregation for Ite-advanced: functionality and performance aspects[J]. IEEE Commun. Mag., 2011,49: 89 -95.
  • 5Li S, Chen Z, Yu Q et al. Toward Future Public Safety Communications[J]. IEEE Vehicular Technology Magazine, 2013, 8(2}: 55-63.
  • 6Wang B, and Ray Liu K J. Advances in Cognitive Radio Networks: A Survey[J]. Selected Topics in Signal Processing, 2011, 5(1}: 5-23.
  • 7Damnjanovic A, Montojo J, Wei Y, et al. A survey on 3GPP heterogeneous networks[J]. IEEE Wireless Commun., 2011,18(3): 10-21.
  • 8Andrews J G. Seven ways that HetNets are a cellular paradigm shift[J]. IEEE Commun. Mag., 2013,51(3): 136-144.
  • 9Feng W, Wang y, Ge N, Lu J, and Zhang J. Virtual MIMO in multi-cell distributed antenna systems: coordinated transmissions with largescale CSIT[J]. IEEE J. Sel. Areas Commun., Oct. 2013,31(10): 2067-2081.
  • 10Feng W, Ge N, and Lu J. Hierarchical transmission optimization for massively dense distributed antenna systems[J]. IEEE Commun. Lett., Apr. 2015, 19(4): 673-676.

共引文献7

同被引文献24

引证文献6

二级引证文献29

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部