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出 处:《高技术通讯》2017年第2期131-139,共9页Chinese High Technology Letters
基 金:国家自然科学基金(61363076);江西省自然科学基金(20142BAB207020)资助项目
摘 要:研究了大规模多输入多输出(MIMO)系统的预编码。针对小区间干扰和导频污染会对预编码的有效性产生较大影响的问题,提出了一种改进的全导频正则化迫零(RZF)预编码方法。该方法通过将有限的正交导频信号分配给小区用户来对预编码矩阵中的信道向量进行优化,得到优化后的全导频正则化预编码矩阵,并依此推导出新的包含导频污染函数和用户干扰函数的和速率表达式。另外,综合考虑基站天线数、用户数以及导频重用因子,优化其配置关系,从而用较少的用户信息和更高的导频重用因子来抑制更多的小区间干扰,有效地提升系统性能。实验结果表明,这种改进的RZF预编码算法能够较好地提高系统容量,在完全已知信道状态信息(CSI)和未完全已知CSI两种情况下的频谱效率及和速率均优于传统的RZF方法。The precoding for massive multiple input multiple output (MIMO) systems was studied. To solve the problem that the inter-cell interference and pilot pollution have the great impact on the precoding effectiveness. An improved full pilot regularization zero forcing (RZF) precoding method was proposed. The method assigns the limited orthog- onal pilot signal to the inter-cell users to optimize the channel vector in the precoding matrix to obtain the optimized full pilot normalized precoding matrix, and then deduces the new sum rate expression including the pilot pollution function and the users' interference functions. In addition, the method synthetically considers the number of base station antennas, the user number, and the pilot reuse factors, and optimizes their configuration to suppress the in- ter-cell interference with the less user information and the higher pilot reuse factor, thus the system performance is effectively improved. The experimental results show that the improved RZF precoding method can improve the sys- tem capacity. The spectrum efficiency and the sum rate are better than the traditional RZF method in both the cases of the perfect channel state information (CSI) situation and the imperfect CSI situation.
关 键 词:大规模多输入多输出(MIMO) 小区间干扰 导频污染 频谱效率 信道状态信息(CSI)
分 类 号:TN919.3[电子电信—通信与信息系统]
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