Eigendecomposition-Precoded Faster-Than-Nyquist Signaling With Optimal Power Allocation in Frequency-Selective Fading Channels
Eigendecomposition-Precoded Faster-Than-Nyquist Signaling With Optimal Power Allocation in Frequency-Selective Fading Channels
复制标题
频率选择性衰落信道中具有最佳功率分配的特征分解预编码超奈奎斯特信令
DOI：
10.1109/twc.2021.3106098
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发表时间：
2022
影响因子：
10.4
通讯作者：
Sugiura Shinya
中科院分区：
文献类型：
--
作者：
Ishihara Takumi;Sugiura Shinya
在本文中，我们提出了特征值分解（EVD）预编码的快于奈奎斯特（FTN）信号的功率分配在频率选择性衰落信道。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。我们的分析性能的结果表明，建议FTN信令方案实现了更高的信息速率比传统的FTN信令方案，而不依赖于功率分配和经典的奈奎斯特信令方案，假设所有的计划采用根升余弦成形滤波器。此外，我们推导出该方案的可实现的信息速率在信道估计误差的存在。此外，我们的误码率性能和功率谱密度的数值模拟结果表明，所提出的FTN方案优于传统的奈奎斯特信令方案，而不会引起任何带宽展宽。
In this paper, we propose eigenvalue decomposition (EVD)-precoded faster-than-Nyquist (FTN) signaling with power allocation in a frequency-selective fading channel. More specifically, we derive the 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 signaling scheme, under the assumption that all the schemes employ a root-raised cosine shaping filter. Moreover, we derive the proposed scheme’s achievable information rate in the presence of channel estimation errors. Furthermore, our numerical simulation results for the bit error ratio performance and the power spectral density demonstrate that the proposed FTN scheme outperforms the conventional Nyquist signaling scheme without incurring any bandwidth broadening.