在研究了多用户 MIMO 线性处理技术和多用户选择方法的基础上,提出了多用户分组的思想。为了降低分组过程的复杂度,提出了基于最小奇异值和信道向量的内积的分组评价准则,并且给出了一种低复杂度的快速分组算法。仿真结果显示所提出的...在研究了多用户 MIMO 线性处理技术和多用户选择方法的基础上,提出了多用户分组的思想。为了降低分组过程的复杂度,提出了基于最小奇异值和信道向量的内积的分组评价准则,并且给出了一种低复杂度的快速分组算法。仿真结果显示所提出的算法可以明显提升系统性能:随着系统中激活用户数量的增加,逐渐接近单用户点对点 MI-MO 通信系统的性能;在一个具有4个发射天线的基站的系统中,当发射信噪比达到15dB,分组数量达到10时,采用了快速分组策略后,块对角化和规格化反转方法的各态历经性信道容量分别提升4bits/Hz 和3bits/Hz 以上。展开更多
Based on the synthesis and analysis of recursive receivers, a new algorithm, namely partial grouping maximization likelihood algorithm, is proposed to achieve satisfactory performance with moderate computational compl...Based on the synthesis and analysis of recursive receivers, a new algorithm, namely partial grouping maximization likelihood algorithm, is proposed to achieve satisfactory performance with moderate computational complexity.During the analysis, some interesting properties shared by the proposed procedures are described.Finally, the performance assessment shows that the new scheme is superior to the linear detector and ordinary grouping algorithm, and achieves a bit-error rate close to that of the optimum receiver.展开更多
A spatial compatible user grouping algorithm is proposed to reduce CoChannel Interference (CCI) in Space Division Multiple Access (SDMA) multiuser Multiple Input Multiple Output (MIMO) systems. We evaluate the interfe...A spatial compatible user grouping algorithm is proposed to reduce CoChannel Interference (CCI) in Space Division Multiple Access (SDMA) multiuser Multiple Input Multiple Output (MIMO) systems. We evaluate the interferences among users by use of distances between row spaces spanned by users’ channel matrixes, then control frequency sharing according to the compatible user grouping algorithm. Results show that the row space distance algorithm outperforms others because it can fully utilize the information from users’ channel matrixes, especially the matrix structure information. The results also prove that the algorithm based on channel matrix structure analysis is a better candidate for spatial compatibility approximation.展开更多
基金Supported by National Natural Science Foundation of China (No. 60372107, 10371106, 10471114)Natural Science Foundation of Jiangsu Province (No. 04KJB110097)
文摘Based on the synthesis and analysis of recursive receivers, a new algorithm, namely partial grouping maximization likelihood algorithm, is proposed to achieve satisfactory performance with moderate computational complexity.During the analysis, some interesting properties shared by the proposed procedures are described.Finally, the performance assessment shows that the new scheme is superior to the linear detector and ordinary grouping algorithm, and achieves a bit-error rate close to that of the optimum receiver.
文摘A spatial compatible user grouping algorithm is proposed to reduce CoChannel Interference (CCI) in Space Division Multiple Access (SDMA) multiuser Multiple Input Multiple Output (MIMO) systems. We evaluate the interferences among users by use of distances between row spaces spanned by users’ channel matrixes, then control frequency sharing according to the compatible user grouping algorithm. Results show that the row space distance algorithm outperforms others because it can fully utilize the information from users’ channel matrixes, especially the matrix structure information. The results also prove that the algorithm based on channel matrix structure analysis is a better candidate for spatial compatibility approximation.
