Low Complexity Message Passing Receiver for Faster-Than-Nyquist Signaling in Nonlinear Channels

Xiao, Wen; Yuan, Weijie; Yang, Dongwen; Wu, Nan; Kuang, Jingming

doi:10.1109/access.2018.2878800

Cited by 6 publications

(7 citation statements)

References 28 publications

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“…Moreover, in [25,120], SIC was employed for reducing the detection complexity of FTN signaling. In [28], an FTN receiver relying on a GMP algorithm based on a factor graph was proposed, where the FTN-specific correlated noise was approximated by an autoregressive process with the objective of reducing the detection complexity. A similar messagepassing algorithm relying on a factor graph was developed for FTN signaling, which was combined with space-time multi-mode index modulation in [116] and also with nonorthogonal multiple-access (NOMA) in [117].…”

Section: B Further Studies Of Time-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: B Further Studies Of Time-domain Ftn Receiversmentioning

confidence: 99%

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confidence: 99%

The Evolution of Faster-Than-Nyquist Signaling

2021

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“…This Paper [13], [ of the equalizer can be significantly reduced compared to the LMMSE equalizer [14] and the FB equalizer [15]. In [20], a Gaussian message passing receiver is developed for faster-than-Nyquist signaling over nonlinear channels, where the channel model is linearized using Taylor expansion, and thus the problem of symbol detection is reformulated into a linear state-space model. Nevertheless, both of the above-mentioned algorithms only considered the idealized simplifying assumption of perfectly known channel state information (CSI).…”

Section: Featurementioning

confidence: 99%

Message Passing-Aided Joint Data Detection and Estimation of Nonlinear Satellite Channels

Zhang

et al. 2023

IEEE Trans. Veh. Technol.

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Satellite communication is capable of supporting seamless global coverage. However, owing to the reliance on limited-duration solar power, the high power amplifier (HPA) is often driven close to its saturation point, which leads to severe nonlinear distortion in satellite channels. Thus, mitigating the effect of the nonlinear distortion becomes essential for reliable communications. In this paper, we propose an efficient joint channel estimation and data detection method based on message passing within the associated factor graph modelling the HPA employed in nonlinear satellite channels. Then, we develop a combined belief propagation and mean field (BP-MF) method to cope with the hard constraints and dense short loops on the factor graph. In particular, the parametric message updating expressions relying on the canonical parameters are derived in the symbol detection part. To alleviate the impact of dense loops, we reformulate the system model into a compact form within the channel estimation part and then reconstruct a loop-free subgraph associated with vector-valued nodes to guarantee convergence. Furthermore, the proposed BP-MF method is also extended to the realistic scenario of having unknown noise variance. To further reduce the computational complexity of the largescale matrix inversion of channel estimation, the generalized approximate message passing (GAMP) algorithm is employed to decouple the vector of channel coefficient estimation into a series of scalar estimations. Simulation results show that the proposed methods outperform the state-of-the-art benchmarks both in terms of bit error rate performance and channel estimation accuracy.

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“…The Volterra model, derived by decomposing the nonlinear channels using the Taylor series, has a generic expression. Based on the Volterra model, the dispersive nonlinear satellite channels can be modelled by a finite state machine, which has been widely applied for the receiver design in classical Satcom [27], [29], [30], [41]. Note that considering several high-order Volterra series terms may be able to describe the actual satellite channels more accurately and help design improved nonlinear detectors.…”

Section: B Dispersive Nonlinear Satellite Channelsmentioning

confidence: 99%

“…In Satcom without using IM, many algorithms have been developed for SC signal detection [26]- [30]. SC modulation typically has low PAPR and hence it is less vulnerable to nonlinear distortions than OFDM [31].…”

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confidence: 99%

Low-Complexity Iterative Detection for Dual-Mode Index Modulation in Dispersive Nonlinear Satellite Channels

Shi

Nguyen

et al. 2022

IEEE Trans. Commun.

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The integration of terrestrial and satellite communications (Satcom) is advocated for satisfying the challenging requirements of seamless, high-performance services. However, both the bandwidth and the power available are limited over satellite channels. In this paper, we propose index modulation (IM) and code-aided Satcom by conveying information by a pair of distinguishable constellation modes and their permutations. In order to combat both the linear and nonlinear distortion imposed by satellite channels, we conceive a factor graph (FG)based iterative detection algorithm for Satcom relying on dualmode (DM) IM (Sat-DMIM). The correlation amongst Sat-DMIM symbols imposed by both the channel-induced dispersion and the mode-selection mapping is explicitly represented by the FG constructed. Then the amalgamated belief propagation (BP) and mean field (MF) message passing algorithm is derived over this FG for detecting both the IM bits and the classic constellation mapping bits, while eliminating both the linear and nonlinear distortions. The complexity of the iterative detection algorithm is reduced by linearizing some high-order terms appearing in nonlinear distortion components using the a posteriori estimates of the Sat-DMIM symbols obtained from the previous iteration. Our simulation results demonstrate the power of the proposed amalgamated BP-MF-based and partial linearization approximation-based iterative detection algorithms.

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Low Complexity Message Passing Receiver for Faster-Than-Nyquist Signaling in Nonlinear Channels

Cited by 6 publications

References 28 publications

The Evolution of Faster-Than-Nyquist Signaling

The Evolution of Faster-Than-Nyquist Signaling

Message Passing-Aided Joint Data Detection and Estimation of Nonlinear Satellite Channels

Low-Complexity Iterative Detection for Dual-Mode Index Modulation in Dispersive Nonlinear Satellite Channels

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