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• W3155702736 abstract "Faster-than-Nyquist signaling (FTNS) is a promising non-orthogonal physical layer transmission technique to improve the spectral efficiency of next-generation communication systems but at the expense of increased transciever complexity to remove the artificially introduced intersymbol-interference (ISI). In this paper, we investigate the detection problem of FTNS and propose a low-complexity sub-optimal detection algorithm, stemming in operations research, that is based on convex relaxation, primal-dual predictor-corrector interior point method, and quantization. The proposed convex quadratic relax-and-quantize sequence estimation (CQRAQSE) algorithm is suitable for low rates FTNS and demonstrates an excellent trade-off between the detection performance and computational effort." @default.
• W3155702736 created "2021-04-26" @default.
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• W3155702736 date "2021-07-01" @default.
• W3155702736 modified "2023-10-18" @default.
• W3155702736 title "A Novel Low Complexity Faster-Than-Nyquist Signaling Detector Based on the Primal-Dual Predictor-Corrector Interior Point Method" @default.
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• W3155702736 doi "https://doi.org/10.1109/lcomm.2021.3071784" @default.
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