Channel Estimation with One-Bit Transceivers in a Rayleigh Environment
Channel Estimation with One-Bit Transceivers in a Rayleigh Environment
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DOI：
10.1109/gcwkshps45667.2019.9024647
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发表时间：
2019-12
期刊：
影响因子：
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通讯作者：
Kang Gao;J. Nicholas Laneman;N. Estes;J. Chisum;B. Hochwald
中科院分区：
文献类型：
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作者：
Kang Gao;J. Nicholas Laneman;N. Estes;J. Chisum;B. Hochwald
具有强非线性特性的一位收发器由于其低成本和低功耗而被考虑用于无线通信。尽管每个这样的收发器只能支持低数据速率，但是可以使用多个这样的收发器来获得聚合的高数据速率。许多通信系统的一个重要部分是信道估计过程，当估计过程使用这些收发器时，这尤其具有挑战性。可用于线性收发器的估计均方误差与训练长度的标准分析不适用于一位收发器固有的非线性。我们分析了大规模系统中的训练要求，结果表明训练符号的最佳数量强烈依赖于接收器的数量，并且训练符号的最佳数量可以明显小于发射器的数量。这些结果与线性收发器获得的经典结果形成鲜明对比。
One-bit transceivers with strongly nonlinear characteristics are being considered for wireless communication because of their low cost and low power consumption. Although each such transceiver can support only a low data rate, multiple such transceivers can be used to obtain an aggregate high data rate. An important part of many communication systems is the process of channel estimation, which is particularly challenging when the estimation process uses these transceivers. The standard analysis of estimation mean-square error versus training length that is available for linear transceivers does not apply with the nonlinearities inherent in one-bit transceivers. We analyze the training requirements in a large- scale system and show that the optimal number of training symbols strongly depends on the number of receivers, and the optimal number of training symbols can be significantly smaller than the number of transmitters. These results contrast sharply with classical results obtained with linear transceivers.