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首页> 外文期刊>Wireless personal communications: An Internaional Journal >Data Rate Loss Due to Quantized SNR Estimates in Adaptive Bit Loading Algorithms
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Data Rate Loss Due to Quantized SNR Estimates in Adaptive Bit Loading Algorithms

机译:自适应位加载算法中由于量化的SNR估计导致的数据速率损失

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摘要

Adaptive bit loading enables OFDM systems to optimize the transmit power levels and/or transmission data rates. These algorithms require the knowledge of ideal signal to noise ratio (SNR) for each data subcarrier at both the transmitter and the receiver. However, in practice the channel SNR can only be obtained and shared between the destination and the information source in a quantized fashion. In this paper, we analyze the effect of SNR quantization on the system data rate. We analytically obtain the average data rate loss due to quantization of SNR estimates. We show, via measurement results on powerline communication channels, that the effect of SNR quantization on the system data rate is not negligible if a midtread quantizer with less than 8 bits is used in the SNR estimation process for powerline communications. We also compare obtained results with theoretical capacity values in order to emphasize the data rate loss due to making use of quantized SNR estimates.
机译:自适应比特加载使OFDM系统能够优化发射功率水平和/或发射数据速率。这些算法需要了解发射机和接收机处每个数据子载波的理想信噪比(SNR)。然而,实际上,只能以量化的方式在目的地和信息源之间获得并共享信道SNR。在本文中,我们分析了SNR量化对系统数据速率的影响。我们通过分析获得了由于SNR估计量化导致的平均数据速率损失。我们通过电力线通信信道上的测量结果表明,如果在电力线通信的SNR估计过程中使用少于8位的中间扩展量化器,则SNR量化对系统数据速率的影响不可忽略。我们还将获得的结果与理论容量值进行比较,以强调由于使用量化的SNR估计而导致的数据速率损失。

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