11 papers
Common-Loss Parameter-Efficiency Analysis of MLP and KAN Neural Receivers for Digital Communications
Sude Ertan, Osman Tokluoglu, Enver Cavus
Classical coherent binary phase-shift keying (BPSK) reception over additive white Gaussian noise (AWGN) channels is analytically well understood, and the optimum hard-decision dete…
Pre-Whitening and BCJR Posterior Distillation for Bi-LSTM Detection in Faster-than-Nyquist Signaling
Nurettin Safak, Osman Tokluoglu, Enver Cavus
Recurrent detectors such as bidirectional long short-term memory (Bi-LSTM) networks are low-complexity alternatives to the optimal Bahl-Cocke-Jelinek-Raviv (BCJR) detector for fast…
Low-Complexity Recurrent Neural Network Detector for Faster-than-Nyquist Signaling
Nurettin Safak, Osman Tokluoglu, Enver Cavus
This study proposes a low-complexity, bidirectional, single-pass Elman recurrent neural network detector for binary phase-shift keying signals transmitted with faster-than-Nyquist…
A Comparative Analysis of MLP and Kolmogorov-Arnold Networks (KAN) for Faster-than-Nyquist (FTN) Signaling Detection
Sude Ertan, Osman Tokluoglu, Enver Cavus
Faster-than-Nyquist signaling improves spectral ef- ficiency by deliberately introducing inter-symbol interference. Classical sequence detectors such as BCJR can approach optimal p…
Self-Attention Transformer-Based Detector for Faster-than-Nyquist Signaling
Nurettin Safak, Osman Tokluoglu, Enver Cavus
In this study, a novel encoder-only Transformer-based receiver architecture is presented for BPSK signals transmitted over Faster-than-Nyquist (FTN) signaling channels that introdu…
A Novel CNN Based Standalone Detector for Faster-than-Nyquist Signaling
Osman Tokluoglu, Enver Cavus, Ebrahim Bedeer +1
This paper presents a novel convolutional neural network (CNN)-based detector for faster-than-Nyquist (FTN) signaling, introducing structured fixed kernel layers with domain-inform…
A Novel Domain-Aware CNN Architecture for Faster-than-Nyquist Signaling Detection
Osman Tokluoglu, Enver Cavus, Ebrahim Bedeer +1
This paper proposes a convolutional neural network (CNN)-based detector for faster-than-Nyquist (FTN) signaling that employs structured fixed kernel layers with domain-informed mas…
Coordinate Interleaved Faster-than-Nyquist Signaling
Adem Cicek, Enver Cavus, Ebrahim Bedeer +2
Faster-than-Nyquist (FTN) signaling is an attractive transmission technique which accelerates data symbols beyond the Nyquist rate to improve the spectral efficiency; however, at t…
Coded Faster-than-Nyquist Signaling for Short Packet Communications
Emre Cerci, Adem Cicek, Enver Cavus +2
Ultra-reliable low-latency communication (URLLC) requires short packets of data transmission. It is known that when the packet length becomes short, the achievable rate is subject…
Low Complexity Lookup Table Aided Soft Output Semidefinite Relaxation based Faster-than-Nyquist Signaling Detector
Adem Cicek, Ian Marsland, Enver Cavus +2
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 compe…
Polar Coded Faster-than-Nyquist (FTN) Signaling with Symbol-by-Symbol Detection
Abdulsamet Caglan, Adem Cicek, Enver Cavus +2
Reduced complexity faster-than-Nyquist (FTN) signaling systems are gaining increased attention as they provide improved bandwidth utilization for an acceptable level of detection c…