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Efficient pilot reuse algorithms for massive MIMO cellular system

机译:用于大规模MIMO蜂窝系统的高效飞行员重用算法

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Pilot contamination has come up as one of the major limitations of massive multiple-input multiple-output. In the recent past, the pilot contamination resulted by the pilot reuse in inter-cell system has been successfully handled. In this paper, three efficient algorithms have been proposed to reduce the pilot contamination in intra-cell system. These schemes emphasize on assigning the available pilots to the users based upon their channel qualities by considering the interfering degree of the various pilot sequences. The first proposed algorithm is based on water filling approach, which attains the system throughput very close to that of brute-force exhaustive search algorithm (ESA) and performs the best among the three proposed algorithms in terms of system throughput. The second algorithm is designed for achieving better user fairness (by assigning less interfering pilots to the poor channel conditioned users). The third algorithm improves the system throughput as compared to the second algorithm without losing much in terms of user fairness. Furthermore, the computational complexity incurred by all the proposed algorithms is much less than that of ESA.
机译:导频污染已升级为大规模多输入多输出的主要限制之一。最近,已经成功处理了通过电池间系统中的导频再利用导致的导频污染。在本文中,提出了三种有效的算法以降低细胞内系统中的导频污染。这些方案通过考虑各种导频序列的干扰程度,强调基于其信道质量将可用飞行员分配给用户。第一种提出的算法基于水填充方法,其非常接近布鲁斯穷举搜索算法(ESA)的系统吞吐量,并且在系统吞吐量方面的三个提议的算法中的最佳性能。第二种算法设计用于实现更好的用户公平(通过将更少的干扰飞行员分配给穷人的通道条件用户)。与第二算法相比,第三种算法改善了系统吞吐量,而不会在用户公平方面失去很多。此外,所有提议的算法产生的计算复杂度远小于ESA。

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