通信学报 ›› 2015, Vol. 36 ›› Issue (3): 115-123.doi: 10.11959/j.issn.1000-436x.2015065

• 学术论文 • 上一篇    下一篇

MIMO认知无线电网络中的联合收发波束形成算法研究

郭艳,朱方军,李宁,原晓云   

  1. 解放军理工大学 通信工程学院,江苏 南京 210007
  • 出版日期:2015-03-25 发布日期:2017-06-21
  • 基金资助:
    国家自然科学基金资助项目;国家自然科学基金资助项目;国家自然科学基金资助项目;国家自然科学基金资助项目

Joint transceiver beamforming in MIMO cognitive radio network

Yan GUO,Fang-jun ZHU,Ning LI,Xiao-yun YUAN   

  1. College of Communications Engineering, PLA University of Science and Technology, Nanjing 210007, China
  • Online:2015-03-25 Published:2017-06-21
  • Supported by:
    The National Natural Science Foundation of China;The National Natural Science Foundation of China;The National Natural Science Foundation of China;The National Natural Science Foundation of China

摘要:

利用半正定规划和最小均方误差准则,提出了一种最小化发射功率的MIMO认知波束形成算法,与已有对偶算法相比,降低了发射功率,提高了系统性能。此外,还提出了SINR均衡的波束形成算法,解决了MIMO认知网络中认知用户的均衡通信问题。数值仿真结果表明,新算法在避免对主用户造成干扰的同时,能保证每一个用户的通信质量,均衡SINR水平得到了大幅提升。

关键词: 多输入多输出, 认知无线电, 联合收发波束形成, 半正定规划

Abstract:

An iterative SDP-MMSE algorithm based on semidefinite programs (SDP) and minimum mean squared error (MMSE) was introduced to minimize the total transmit power. And a further approach on the max-min fairness beam-forming was presented. Simulation results demonstrate that proposed algorithms have superior performance in terms of total transmitted power and signal-to-interference plus noise ratio (SINR) as compared to the existing ones.

Key words: MIMO, cognitive radio, transceiver beamforming, semidefinite programming (SDP)

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