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Superimposed Pilots Are Superior for Mitigating Pilot Contamination in Massive MIMO

机译:叠加式导频在减轻大规模MIMO中的导频污染方面具有优势

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In this paper, superimposed pilots are introduced as an alternative to time-multiplexed pilot and data symbols for mitigating pilot contamination in massive multiple-input multiple-output (MIMO) systems. We propose a non-iterative scheme for uplink channel estimation based on superimposed pilots and derive an expression for the uplink signal-to-interference-plus-noise ratio (SINR) at the output of a matched filter employing this channel estimate. Based on this expression, we observe that power control is essential when superimposed pilots are employed. Moreover, the quality of the channel estimate can be improved by reducing the interference that results from transmitting data alongside the pilots, and an intuitive iterative data-aided scheme that reduces this component of interference is also proposed. Approximate expressions for the uplink SINR are provided for the iterative data-aided method as well. In addition, we show that a hybrid system with users utilizing both time-multiplexed and superimposed pilots is superior to an optimally designed system that employs only time-multiplexed pilots, even when the non-iterative channel estimate is used to build the detector and precoder. We also describe a simple approach to implement this hybrid system by minimizing the overall inter- and intracell interference. Numerical simulations demonstrating the performance of the proposed channel estimation schemes and the superiority of the hybrid system are also provided.
机译:在本文中,引入了重叠导频作为时分复用导频和数据符号的替代方案,以减轻大规模多输入多输出(MIMO)系统中的导频污染。我们提出了一种基于叠加导频的上行链路信道估计的非迭代方案,并在采用该信道估计值的匹配滤波器的输出端得出了上行链路信噪比(SINR)的表达式。基于此表达式,我们观察到采用叠加导频时功率控制必不可少。此外,可以通过减少由于在导频旁边传输数据而产生的干扰来提高信道估计的质量,并且还提出了一种直观的迭代数据辅助方案,该方案可以减少这种干扰分量。还为迭代数据辅助方法提供了上行链路SINR的近似表达式。此外,我们表明,即使使用非迭代信道估计来构建检测器和预编码器,具有用户同时使用时分复用导频和叠加导频的混合系统优于仅采用时分复用导频的最优设计系统。我们还描述了一种通过最小化整个小区间和小区间干扰来实现此混合系统的简单方法。还提供了数值仿真,证明了所提出的信道估计方案的性能以及混合系统的优越性。

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