MIMO认知无线电网络中的联合收发波束形成算法研究

doi:10.11959/j.issn.1000-436x.2015065

摘要/Abstract

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)

郭艳,朱方军,李宁,原晓云. MIMO认知无线电网络中的联合收发波束形成算法研究[J]. 通信学报, 2015, 36(3): 115-123.

Yan GUO,Fang-jun ZHU,Ning LI,Xiao-yun YUAN. Joint transceiver beamforming in MIMO cognitive radio network[J]. Journal on Communications, 2015, 36(3): 115-123.

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