The key insights from the content are:
FTN signaling can increase the number of independent signaling dimensions compared to Nyquist rate signaling by packing more data symbols within the same time and frequency. This is particularly beneficial in the finite blocklength (FBL) regime where the Nyquist sampling theorem is not optimal.
There are two distinct operating regions of FTN signaling in the FBL regime:
a) When the time-acceleration factor τ is above a certain threshold τ0, FTN has both higher channel capacity and maximum channel coding rate (MCCR) than Nyquist rate signaling, especially when using non-sinc pulse shapes.
b) When τ is below τ0, the channel capacity remains fixed but the MCCR of FTN can continue to increase, thereby reducing the gap between capacity and MCCR. This benefit is present regardless of the pulse shape, including the ideal sinc pulse.
FTN signaling can be used to either increase the MCCR for a fixed block error rate, or alternatively, reduce the block error rates for a fixed channel coding rate, compared to Nyquist signaling in the FBL regime.
The author derives tight bounds on the MCCR of FTN signaling using finite blocklength information theory, and provides an asymptotic analysis to show the accuracy of the derived normal approximation.
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by Yong Jin Dan... a las arxiv.org 04-29-2024
https://arxiv.org/pdf/2312.01253.pdfConsultas más profundas