A Novel Low Complexity Faster-than-Nyquist (FTN) Signaling Detector for Ultra High-Order QAM
Ahmed Ibrahim, Ebrahim Bedeer, and Halim Yanikomeroglu

TL;DR
This paper introduces an ADMM-based detection method for ultra high-order FTN signaling that offers a favorable balance of performance and computational complexity, enabling spectral efficiency gains in next-generation communication systems.
Contribution
It proposes a novel ADMM sequence estimation detector for FTN signaling that is computationally efficient and effective for very high modulation orders like 64K-QAM.
Findings
Achieves spectral efficiency gains for QAM orders from 4-QAM to 64K-QAM.
Offers comparable performance to existing methods with significantly lower computational time.
Complexity grows polynomially with sequence length and logarithmically with modulation order.
Abstract
Faster-than-Nyquist (FTN) signaling is a promising non-orthogonal pulse modulation technique that can improve the spectral efficiency (SE) of next generation communication systems at the expense of higher detection complexity to remove the introduced inter-symbol interference (ISI). In this paper, we investigate the detection problem of ultra high-order quadrature-amplitude modulation (QAM) FTN signaling where we exploit a mathematical programming technique based on the alternating directions multiplier method (ADMM). The proposed ADMM sequence estimation (ADMMSE) FTN signaling detector demonstrates an excellent trade-off between performance and computational effort enabling successful detection and SE gains for QAM modulation orders as high as 64K (65,536). The complexity of the proposed ADMMSE detector is polynomial in the length of the transmit symbols sequence and its sensitivity to…
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