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多用户认知无线电系统中波束成形技术研究

Study on Beamforming in Multi-user Cognitive Radio Network
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摘要 多入多出(multiple-input multiple-output,MIMO)技术给系统引入了可供共享与分配的空间资源,在时间和频率资源之外增加了空间自由度,可以更好地起到减少对主用户干扰并提高次用户容量的作用。在文中提出的系统模型中,主、次用户信道发射端均配备了多根天线,主用户接收端可以通过有限反馈信道将信道状态信息反馈给次用户发射端。在此基础上,设计次用户发射波束成形矢量,并给出了主、次用户中断率表达式。仿真表明,在该系统模型下,主、次用户中断率更小,次用户的中断率随着反馈比特数的增加不断趋近于一个固定值。 Multi-input multi-output (MIMO) technology provides the system with sharing space, increas- ing the degrees of freedom of space in addition to time and frequency, which can reduce interference to the primary user (PU) and improve the capacity of secondary user ( SU ). In this paper, both of the primary base station (PBS) and the secondary base station (SBS) are equipped with multi-antennas. The PU re ceiver communicates to the SU transmitter the channel state information through the finite-rate feedback channel, so a cognitive beamfonning(CB) algorithm based on the limited feedback is proposed. The ex pressions of the outage probability are presented. From the simulation results, it can be seen that the out age probability of both links is lower. There exists an asymptotic value which the outage probability of SU approaches.
作者 汪明 宋荣方
出处 《南京邮电大学学报(自然科学版)》 北大核心 2012年第6期17-21,共5页 Journal of Nanjing University of Posts and Telecommunications:Natural Science Edition
基金 国家重点基础研究发展计划(973计划)(2007CB310607) 国家自然科学基金(60972041) 江苏省高校自然科学基础研究计划重大项目(08KJD510001) 教育部博士点基金(200802930004) 东南大学移动通信国家重点实验室开放课题(N200809) 国家科技重大专项(2009ZX03003-006)资助项目
关键词 认知无线电 MIMO 波束成形 有限反馈 cognitive radio MIMO beamforming limited feedback
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参考文献12

  • 1郭彩丽,张天魁,曾志民,冯春燕.认知无线电关键技术及应用的研究现状[J].电信科学,2006,22(8):50-55. 被引量:33
  • 2ISLAM M H, LIANG Y C, HOANG A T. Joint beamforrning and power control in the downlink of cognitive radio networks[ C ] //Proc IEEE WCNC. 2007:21 -26.
  • 3XING Y,MATHUR C N, HALEEM M A, et al. Dynamic spectrum access with QoS and interference temperature constraints. [ J]. IEEE Trans Mobile Computing,2007,6(4) :423 -433.
  • 4ZHANG R, LIANG Y C. Exploiting multi-antennas for opportunistic spectrum sharing in cognitive radio networks [ J ]. IEEE Journal on Sel Areas in Communications ,2008 ( 2 ) :88 - 102.
  • 5ZHANG R, GAO F, LIANG Y C. Cognitive beamforming made prac- tical:Effective interference channel and learning-throughput tradeoff [J]. IEEE Trans on Communications,2010,58:706 -718.
  • 6HUANG K B, ZHANG R. Cooperative feedback in multi-antenna cognitive radio networks[ C ]//IEEE Vehicular Technology Confer- ence. 2010 : 1 - 5.
  • 7GOLDSMITH A. Wireless communications [ M ]. Beijing: Posts & Telecom Press,2007:270 - 271.
  • 8邱玲,许杰,刘蓓,等.多用户、多小区MIMO通信技术[M].北京:人民邮电出版社,2011.
  • 9YOO T,JINDAL N,GOLDSMITH A. Multi-antenna broadcast chan- nels with limited feedback and user selection [ J ]. IEEE Journal on Sel Areas in Communications,2007,25:1478 -1491.
  • 10ZHOU S, WANG Z, GIANNAKIS G B. Quantifying the power loss when transmit beamforming relies on finite-rate feedback [ J ]. IEEE Trans on Communications ,2005,4 : 1948 - 1957.

二级参考文献29

  • 1Kolodzy P.Spectrum policy task force: findings and recommendations.In: International Symposium on Advanced Radio Technologies (1SART),Colorado, USA, March 2003
  • 2McHenry M. Report on spectrum occupancy measurements, http://www.sharedspectrum.com/?section=nsf_summary
  • 3Mitola J, Maquire G J. Cognitive radios: making software radios more personal. IEEE Personal Communications, 1999, 6 (4)
  • 4Mitola J. Cognitive radio: an integrated agent architecture for software defined radio. Ph D Dissertation, Royal Inst Technol (KTH), Stockholm,Sweden, 2000
  • 5Haykin S. Cognitive radio: brain-empowered wireless communications.IEEE JSAC, 2005, 23 (2)
  • 6Rieser C J. Biologically inspired cognitive radio engine model utilizing distributed genetic algorithms for secure and robust wireless communications and networking. Ph D Dissertation, Virginia Tech, Blacksburg,VA, August 2004
  • 7FCC-03-322. Facilitating opportunities for flexible, efficient, and reliable spectrum use employing cognitive radio technologies, http://hraunfoss.fcc.gov/edocs_public/attachmatch/FCC-03-322A 1 .pdf
  • 8Sahai A, Hoven N, Tandra R. Some fundamental limits in cognitive radio.In: 42nd Allerton Conf on Communication, Control, and Computing, Illinois, USA, Oct 2004
  • 9Ganesan G, Li Y G. Agility improvement through cooperative diversity in cognitive radio networks. In: GLOBECOM 2005, Missouri, USA, Nov 2005
  • 10Ganesan G, Li Y G. Cooperative spectrum sensing in cognitive radio networks. In: New Frontiers in Dynamic Spectrum Access Networks. Baltimore, MA, USA. Nov 2005

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