期刊文献+

MIMO认知无线电网络中的联合收发波束形成算法研究 被引量:7

Joint transceiver beamforming in MIMO cognitive radio network
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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。 An iterative SDP-MMSE algorithm based on semidefinite programs (SDP) and minimum mean squared error (M/VISE) was introduced to minimize the total transmit power. And a further approach on the max-rain 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 (S1NR) as compared to the existing ones.
出处 《通信学报》 EI CSCD 北大核心 2015年第3期20-28,共9页 Journal on Communications
基金 国家自然科学基金资助项目(61072044 61371124 61201217 61103224)~~
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 MIMO cognitive radio transceiver beamforming semidefinite programming (SDP)
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