Low Complexity Lookup Table Aided Soft Output Semidefinite Relaxation based Faster-than-Nyquist Signaling Detector
Adem Cicek, Ian Marsland, Enver Cavus, Ebrahim Bedeer, and Halim, Yanikomeroglu

TL;DR
This paper proposes a low-complexity lookup table aided soft output semidefinite relaxation detector for Faster-than-Nyquist signaling, enhancing spectral efficiency with manageable computational complexity and reliable soft output generation.
Contribution
Introduction of a LUT aided soft output semidefinite relaxation detector for FTN signaling that extends to higher modulation levels with polynomial complexity.
Findings
Performance comparable to optimal BCJR detector
Polynomial computational complexity
Viable soft output generation for coded scenarios
Abstract
Spectrum scarcity necessitates innovative, spectral-efficient strategies to meet the ever-growing demand for high data rates. Faster-than-Nyquist (FTN) signaling emerges as a compelling spectral-efficient transmission method that pushes transmit data symbols beyond the Nyquist limit, offering enhanced spectral efficiency (SE). While FTN signaling maintains SE with the same energy and bandwidth as the Nyquist signaling, it introduces increased complexity, particularly at higher modulation levels. This complexity predominantly arises from the detection process, which seeks to mitigate the intentional intersymbol interference generated by FTN signaling. Another challenge involves the generation of reliable log-likelihood ratios (LLRs) vital for soft channel decoders. In this study, we introduce a lookup table (LUT) aided soft output semidefinite relaxation (soSDR) based sub-optimal FTN…
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Taxonomy
TopicsPAPR reduction in OFDM · Advanced Wireless Communication Techniques · Advanced Power Amplifier Design
