Massive multiple-input multiple-output (MIMO) is a critical technology for future fifth-generation (5G) systems. Reduced pilot contamination (PC) enhanced system performance, and reduced inter-cell interference and improved channel estimation. However, because the pilot sequence transmitted by users in a single cell to neighboring cells is not orthogonal, massive MIMO systems are still constrained. We propose channel evaluation using orthogonal pilot reuse sequences (PRS) and zero forced (ZF) pre-coding techniques to eliminate channel quality in end users with poor channel quality based on channel evaluation, large-scale shutdown evaluation, and analysis of maximum transmission efficiency. We derived the lower bounds on the downlink data rate (DR) and signal-to-interference noise ratio (SINR) that can be achieved based on PRS assignment to a group of users where the number of antenna elements mitigated the interference when the number of antennas reaches infinity. The channel coherence interval limitation, the orthogonal PRS cannot be allocated to all UEs in each cell. The short coherence intervals able to reduce the PC and improve the quality of channel. The results of the modelling showed that higher DR can be achieved due to better channel evaluation and lower loss.
翻译:减少试点污染(PC) 提高系统性能,减少细胞间干扰,并改进频道估计。然而,由于单细胞用户向相邻细胞传送的试验序列不是垂直的,大型的IMIMO系统仍然受到限制,我们提议使用正方位试点再利用序列(PRS)和零强制(ZF)预编码技术进行频道评价,以消除频道质量差的终端用户的频道质量。根据频道评价、大规模停机评估以及对最大传输效率的分析,减少试点污染(PC) 提高系统性能,并减少细胞间干扰,并改进频道估计。我们从下链接数据率(DR)和信号到干扰噪音率(SINR)的下限界限中得出了可以实现的下限,因为PRS向一组用户分配了天线元素的数量在天线到达无限时可以减轻干扰。频道一致性的间隔限制、orogonal PRS不能分配给每个单元格所有频道质量差的终端用户。能够缩短时间间隔,从而减少PC并改进频道质量的距离,从而实现更高的损失率。