EXIT-Chart-Aided Hybrid Multiuser Detector for Multicarrier Interleave-Division Multiple Access

In this paper, an ordered successive interference cancellation algorithm is proposed to realize efficient multi-user detection in interleave-division multiple access. In the proposed algorithm, the multiuser detection is implemented in the frequency domain and the bit detection results are obtained by de-spreading the chip detection results. Afterwards, the bit detection results are spread and interleaved to obtain regeneration soft chip results. The regeneration soft chip results are combined with the priori information provided by the channel decoder to obtain soft decision feedback symbols. In the proposed algorithm, the soft decision feedback symbols of detected users are exploited to cancel their interference to the subsequent un-detected users. In addition, the user detection order is optimized according to the signalto-interference-plus-noise-ratio. The simulation results show that the proposed algorithm can achieve better performance in both single-input-single-output and multiple-input-multiple-output scenario.INDEX TERMS Frequency domain equalization, soft decision feedback, successive interference cancellation, user detection order.

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Differential Evolution Algorithm Aided Turbo Channel Estimation and Multi-User Detection for G.Fast Systems in the Presence of FEXT

Zhang

Chen

Zhang

et al. 2018

IEEE Access

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The ever-increasing demand for broadband Internet access has motivated the further development of the digital subscriber line to the G.fast standard in order to expand its operational band from 106 MHz to 212 MHz. Conventional far-end crosstalk (FEXT) based cancellers falter in the upstream transmission of this emerging G.fast system. In this paper, we propose a novel differential evolution algorithm (DEA) aided turbo channel estimation (CE) and multi-user detection (MUD) scheme for the G.fast upstream including the frequency band up to 212 MHz, which is capable of approaching the optimal Cramer-Rao lower bound of the channel estimate, whilst approaching the optimal maximum likelihood (ML) MUD's performance associated with perfect channel state information, and yet only imposing about 5% of its computational complexity. Explicitly, the turbo concept is exploited by iteratively exchanging information between the continuous value-based DEA assisted channel estimator and the discrete valuebased DEA MUD. Our extensive simulations show that 18 dB normalized mean square error gain is attained by the channel estimator and 10 dB signal-to-noise ratio gain can be achieved by the MUD upon exploiting this iteration gain. We also quantify the influence of the CE error, of the copper length and of the impulse noise. Our study demonstrates that the proposed DEA aided turbo CE and MUD

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EXIT-Chart-Aided Hybrid Multiuser Detector for Multicarrier Interleave-Division Multiple Access

Cited by 16 publications

References 17 publications

Joint-Alphabet Space Time Shift Keying in mm-Wave Non-Orthogonal Multiple Access

Joint-Alphabet Space Time Shift Keying in mm-Wave Non-Orthogonal Multiple Access

An Ordered Successive Interference Cancellation Detector With Soft Detection Feedback in IDMA Transmission

Differential Evolution Algorithm Aided Turbo Channel Estimation and Multi-User Detection for G.Fast Systems in the Presence of FEXT

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