Faster-than-Nyquist Signaling based on Filter Bank Multicarrier Modulation

Che, Hui

doi:10.1109/pimrc.2019.8904452

Cited by 2 publications

(8 citation statements)

References 17 publications

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“…There are T turbo iterations between BCJR equalizer and channel decoder. M = 4, L r = 7 and T = 30 for MFTN with DC in [29]. M = 16, L r = 3 and T = 5 for MFTN with DC in [27].…”

Section: Ber Resultsmentioning

confidence: 98%

“…For case B (MFTN), we employ the LDPC with a code length of 32000 and a code rate of r L = 3/4 for the MC with PAS. The LDPC for case B has the same code length as that in [29]. r D = 0.4997, the total code rate R = 0.4998, and the SE for the MC with PAS is 1.9994 bit/s/Hz, which is approximately the desired SE 2.0 bit/s/Hz.…”

Section: Ber Resultsmentioning

confidence: 99%

“…Fig. 11 shows the BER performances of the DC [29] [27], [29] and MFTN-LPE uses the soft demapper. Table 4 summarizes the computational complexity for the soft demapper, SIC equalizer and BCJR equalizer.…”

Section: Ber Resultsmentioning

confidence: 99%

“…We use the SE as a performance metric to make fair comparisons between the DC and the MC with PAS. There are three examples as shown in Tables 1, 2, 3, and the baselines (DC) in the three cases are studied in [11], [29], [19], respectively. We employ the efficient implementation of MFTN with MC to calculate the AIR.…”

Section: Theoretical Performance For Pas-mftn-lpementioning

confidence: 99%

“…However, these previous works require additional operations, such as reorder, rotation, stack, overlap, overlap-add [20], and circular expanding [22]. Che in [29] has proposed efficient digital implementation without the above additional operations. On the other hand, we set ν = 1 to eliminate the ICI [12] due to the orthogonal subcarrier and employ the linear pre-equalization (LPE) [30] to eliminate the ISI for MC.…”

Section: Introductionmentioning

confidence: 99%

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Multicarrier Faster-Than-Nyquist Based on Efficient Implementation and Probabilistic Shaping

2021

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The conventional multicarrier faster-than-Nyquist (MFTN) achieves the spectral efficiency (SE) gain by deep compression. However, deep compression leads to severe intersymbol interference (ISI) or intercarrier interference (ICI). We propose the MFTN based on efficient implementation and probabilistic amplitude shaping (PAS) to achieve the SE gain with low complexity. We use mild compression instead of conventional deep compression to achieve the compression gain. The MFTN transceiver with the mild compression can be efficiently implemented by fast Fourier transform (FFT)/inverse FFT (IFFT) and filtering operation. The linear pre-equalization (LPE) method eliminates the ISI for mild compression. The MFTN with efficient implementation employs PAS to achieve extra shaping gain. The theoretical results and simulation results show that our method can achieve better performance than the conventional FTN/MFTN with deep compression. The proposed method does not require a complex equalization algorithm and global turbo iteration so that the total complexity is reduced.INDEX TERMS Multicarrier, faster-than-Nyquist, linear pre-equalization, probabilistic shaping, mild compression.

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“…There are T turbo iterations between BCJR equalizer and channel decoder. M = 4, L r = 7 and T = 30 for MFTN with DC in [29]. M = 16, L r = 3 and T = 5 for MFTN with DC in [27].…”

Section: Ber Resultsmentioning

confidence: 98%

Section: Ber Resultsmentioning

confidence: 99%