Iterative Joint Channel Estimation, User Activity Tracking, and Data Detection for FTN-NOMA Systems Supporting Random Access

Yuan, Weijie; Wu, Nan; Guo, Qinghua; Ng, Derrick Wing Kwan; Yuan, Jinhong; Hanzo, Lajos

doi:10.1109/tcomm.2020.2975169

Cited by 65 publications

(54 citation statements)

References 49 publications

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“…independent vectorsh q andx q , while the inner elements are also assumed to be independent. According to BP rules [47], [48], we can compute the forward messages ofs q element-byelement as (it) xq , − → V (it) xq ;…”

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confidence: 99%

Joint Channel Estimation and Equalization for Index-Modulated Spectrally Efficient Frequency Division Multiplexing Systems

Yuan

et al. 2020

IEEE Trans. Commun.

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Spectrally efficient frequency division multiplexing (SEFDM) relying on index modulation (IM) has emerged as a promising multicarrier technique. In this paper, we develop a joint channel estimation and equalization method based on factor graphs for SEFDM-IM signaling over frequency-selective fading channels. By approximating the interference in the frequency domain, we reformulate the problem to obey a linear state-space model and construct a multi-layer factor graph. To support a reconfigurable architecture, non-orthogonal demodulation is adopted and the colored noise encountered is approximated by a complex auto-regressive (CAR) model. For deriving a low-complexity parametric Gaussian message passing (GMP)based method, we exploit an expectation propagation (EP)-based technique for approximating the discrete a posteriori distributions of the transmitted symbols in a Gaussian form. To further simplify the result, variational message passing (VMP) is applied to an equivalent soft node to obtain a Gaussian form. Moreover, we also derive the Cramér-Rao lower bound (CRLB) in closedform. The overall complexity only grows linearly with the number of subcarriers and logarithmically with the length of the channel's memory. Compared to its Nyquist signaling based counterpart, SEFDM-IM signaling relying on the proposed algorithm exhibits up to 25% higher bandwidth efficiency without any bit error rate (BER) performance degradation. Index Terms-Spectrally efficient frequency division multiplexing, index modulation, channel estimation, complex-valued colored noise, variational message passing.

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Joint Channel Estimation and Equalization for Index-Modulated Spectrally Efficient Frequency Division Multiplexing Systems

Yuan

et al. 2020

IEEE Trans. Commun.

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“…However, the error performance of frequency-domain equalizations can be substantially worse than that of the time-domain counterpart. More importantly, FTN signaling has shown great potential in doubly-selective channels [38], [39] and in NOMA transmissions [40], [41], which aligns perfectly with the requirements of the IVNs.…”

Section: Introductionmentioning

confidence: 65%

Distributed Estimation Framework for Beyond 5G Intelligent Vehicular Networks

Yuan

Xiang

et al. 2020

IEEE Open J. Veh. Technol.

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“…However, the authors of [59] showed that a heavy overloading can cause a high computational complexity in the original MPA due to an increase in the codebook size and number of UEs. Accordingly, many works were conducted to improve the detector algorithm based on the MPA [59][60][61][62] and other advanced methods [63][64][65].…”

Section: Spectral and Energy Efficiencies For Scma-based Systemsmentioning

confidence: 99%

A Survey on Non-Orthogonal Multiple Access: From the Perspective of Spectral Efficiency and Energy Efficiency

et al. 2020

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Non-orthogonal multiple access (NOMA) is a promising technology for next-generation wireless networks with emerging demands on low latency, high throughput, and massive connectivity. Unlike orthogonal multiple access, NOMA allows multiple users to share the same radio resources, which significantly improves spectral efficiency (SE). To achieve green wireless communications for numerous networked devices, NOMA helps reduce energy consumption while satisfying rate fairness and quality-of-experience requirements. The goal of this paper is to introduce the innovative approaches for NOMA in terms of the SE and energy efficiency, and discuss emerging technologies involved with NOMA. Further, its challenges and future research directions are highlighted.

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Iterative Joint Channel Estimation, User Activity Tracking, and Data Detection for FTN-NOMA Systems Supporting Random Access

Abstract: Index Terms-Machine-type communications, non-orthogonal multiple access, faster-than-Nyquist signaling, dynamic networks, random access, hybrid message passing, birth and survive probability

Cited by 65 publications

References 49 publications

Joint Channel Estimation and Equalization for Index-Modulated Spectrally Efficient Frequency Division Multiplexing Systems

Joint Channel Estimation and Equalization for Index-Modulated Spectrally Efficient Frequency Division Multiplexing Systems

Distributed Estimation Framework for Beyond 5G Intelligent Vehicular Networks

A Survey on Non-Orthogonal Multiple Access: From the Perspective of Spectral Efficiency and Energy Efficiency

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