A Hybrid ARQ Scheme for Faster than Nyquist Signaling with Iterative Frequency-Domain Detection

Dinis, Rui; Cunha, Bruno; Ganhao, F.; Bernardo, Luís; Oliveira, Rodolfo; Pinto, Paulo

doi:10.1109/vtcspring.2015.7145609

Cited by 8 publications

(7 citation statements)

References 17 publications

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“…In [32], hybrid automatic repeat request (HARQ) was used in conjunction with the FDE-aided FTN signaling scheme in the doubly selective fading channel. Similarly, in [33], FDE was employed by an FTN signaling scheme experiencing a doubly selective fading channel.…”

Section: Further Studies Related To Frequency-domain Ftn Receiversmentioning

confidence: 99%

“…Attractive reduced-complexity detection schemes have been developed for FTN signaling operating both in the time-domain (TD) [19][20][21][22][23][24][25][26][27][28][29] and frequency-domain (FD) [30][31][32][33][34][35][36][37][38][39][40], in order to combat the fundamental limitations imposed by the FTN-specific ISI effects. Following the invention of powerful near-capacity channel coding schemes [53], such as turbo and low-density parity-check (LDPC) coding, typically channel-encoded schemes have been used for eliminating the ISI effects in FTN signaling systems.…”

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confidence: 99%

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The Evolution of Faster-Than-Nyquist Signaling

2021

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The fifty-year progress of faster-than-Nyquist (FTN) signaling is surveyed. FTN signaling exploits non-orthogonal dense symbol packing in the time domain for the sake of increasing the data rate attained. After reviewing the system models of both the conventional Nyquist-based and FTN signaling transceivers, we survey the evolution of FTN techniques, including their low-complexity detection and channel estimation. Furthermore, in addition to the classic FTN signaling philosophy, we introduce the recent frequency-domain filtering and precoding aided schemes. When relying on precoding, the information rate of FTN signaling becomes related to the eigenvalues of an FTN-specific intersymbol interference matrix, which provides a unified framework for the associated information-theoretic analysis and simplifies the associated power allocation specifically designed for increasing the information rate attained. We show that the FTN signaling scheme combined with bespoke power allocation employing a realistic raised-cosine shaping filter achieves the Shannon capacity associated with ideal rectangular shaping filters.

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Section: Further Studies Related To Frequency-domain Ftn Receiversmentioning

confidence: 99%

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confidence: 99%

The Evolution of Faster-Than-Nyquist Signaling

2021

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“…As discussed earlier, all the previous FTN signaling sequence estimation techniques reported in the literature estimate the transmit data symbols based on the reception of a block of length N [8]- [14]. In this section, we propose a novel SSSSE that estimates the transmit data symbols on a symbol-by-symbol basis.…”

Section: Successive Symbol-by-symbol Sequence Estimation (Sssse)mentioning

confidence: 99%

“…The works in [11], [12] were extended to produce soft-decision of the estimated data symbols while considering the correlated noise samples after the receiver matched filter in [13]. In [14], the authors proposed an iterative block decision feedback frequency domain equalizer in addition to a hybrid automatic repeat request to detect FTN signaling with reduced computational complexity.…”

Section: Introductionmentioning

confidence: 99%

“…To the best of the authors' knowledge, this is the first approach in the literature to detect FTN signaling on a symbol-by-symbol basis. This is in contrast to all the previous sequence estimation techniques reported in the literature that estimate the transmit data symbols based on the reception of a block of length N [8]- [14]. The main contributions of this paper are summarized as follows:…”

Section: Introductionmentioning

confidence: 99%

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A Very Low Complexity Successive Symbol-by-Symbol Sequence Estimator for Faster-Than-Nyquist Signaling

2017

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In this paper, we investigate the sequence estimation problem of binary and quadrature phase shift keying faster-than-Nyquist (FTN) signaling and propose two novel low-complexity sequence estimation techniques based on concepts of successive interference cancellation. To the best of our knowledge, this is the first approach in the literature to detect FTN signaling on a symbol-by-symbol basis. In particular, based on the structure of the self-interference inherited in FTN signaling, we first find the operating region boundary-defined by the root-raised cosine (rRC) pulse shape, its roll-off factor, and the time acceleration parameter of the FTN signaling-where perfect estimation of the transmit data symbols on a symbol-by-symbol basis is guaranteed, assuming noise-free transmission. For noisy transmission, we then propose a novel low-complexity technique that works within the operating region and is capable of estimating the transmit data symbols on a symbol-by-symbol basis. To reduce the error propagation of the proposed successive symbol-by-symbol sequence estimator (SSSSE), we propose a successive symbol-by-symbol with go-back-K sequence estimator (SSSgbKSE) that goes back to reestimate up to K symbols, and subsequently improves the estimation accuracy of the current data symbol. Simulation results show that the proposed sequence estimation techniques perform well for low intersymbol interference (ISI) scenarios and can significantly increase the data rate and spectral efficiency. Additionally, results reveal that choosing the value of K as low as 2 or 3 data symbols is sufficient to significantly improve the bit-error-rate performance. Results also show that the performance of the proposed SSSgbKSE, with K = 1 or 2, surpasses the performance of the lowest complexity equalizers reported in the literature, with reduced computational complexity. Index TermsFaster-than-Nyquist (FTN) signaling, intersymbol interference (ISI), Mazo limit, self-interference, sequence estimation, successive interference cancellation

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