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Linear Programming Based Pilot Allocation in TDD Massive Multiple-Input Multiple-Output Systems

机译:基于线性编程的TDD MATLIVE多输入多输出系统的导频分配

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By providing substantial gains in terms of both spectral and energy-efficiency, Massive MIMO is expected to be the promising enabler for the fifth generation (5G) communications. However the performance of massive MIMO is greatly affected by pilot contamination due to the insufficiency of pilot sequences. To overcome this, we propose a linear programming based pilot allocation with the purpose of alleviating the effect of pilot contamination and maximizing the system throughput. We first formulate the pilot allocation as a user clustering problem, which can be converted to a linear programming one by introducing the integer factor and constraint relaxation. An efficient linear programming algorithm is proposed to solve the problem. Simulation results demonstrate that the proposed scheme outperforms the other candidates in the presence of pilot contamination.
机译:通过在光谱和能量效率方面提供大量提升,预计大规模的MIMO将成为第五代(5G)通信的有前途的推动因素。然而,由于导频序列不足,巨大MIMO的性能极大地受到导频污染的影响。为了克服这一点,我们提出了一种基于线性规划的试点分配,目的是减轻导频污染和最大化系统吞吐量的效果。我们首先将试点分配作为用户聚类问题,可以通过引入整数因子和约束松弛来转换为线性编程。提出了一种有效的线性编程算法来解决问题。仿真结果表明,所提出的方案在导频污染情况下表现出其他候选人。

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