Precoded Faster-than-Nyquist Signaling with Optimal Power Allocation in Frequency-Selective Channel

Precoded Faster-than-Nyquist Signaling with Optimal Power Allocation in Frequency-Selective Channel
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DOI:
10.1109/iccworkshops50388.2021.9473860
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发表时间:
2021-06
期刊:
2021 IEEE International Conference on Communications Workshops (ICC Workshops)
影响因子:
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通讯作者:
T. Ishihara;S. Sugiura
T. Ishihara;S. Sugiura
中科院分区:
其他
文献类型:
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作者:
T. Ishihara;S. Sugiura

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在本文中,我们提出了频率选择性衰落信道中的本征分解预编码快于奈奎斯特(FTN)信号与功率分配。更具体地说,我们得出的相互信息与建议的FTN信令。然后,计算最优功率系数,使得导出的互信息最大化。我们的分析性能结果表明,在假设所有方案都采用根升余弦整形滤波器的情况下,在不依赖功率分配和经典的基于奈奎斯特的信令方案的情况下,所提出的FTN信令方案比传统的FTN信令方案实现了更高的信息速率。此外,我们对误比特率性能和功率谱密度的数值模拟结果表明,所提出的FTN方案在不牺牲任何带宽扩展的情况下优于传统的基于奈奎斯特的信令方案。
In this paper, we propose eigendecomposition-precoded faster-than-Nyquist (FTN) signaling with power allocation in a frequency-selective fading channel. More specifically, we derive mutual information associated with the proposed FTN signaling. Then, the optimal power coefficients are calculated such that the derived mutual information is maximized. Our analytical performance results show that the proposed FTN signaling scheme achieves a higher information rate than the conventional FTN signaling scheme without relying on power allocation and the classic Nyquist-based signaling scheme, under the assumption that all the schemes employ a root-raised cosine shaping filter. Moreover, our numerical simulation results of the bit error ratio performance and the power spectral density demonstrate that the proposed FTN scheme outperforms the conventional Nyquist-based signaling scheme without sacrificing any bandwidth broadening.