One-bit analog-to-digital converters (ADCs) have emerged as an attractive low-power solution, and although they introduce non-linear distortion, their achievable capacity can remain close to that of high-resolution ADCs in narrowband channels under lo...
One-bit analog-to-digital converters (ADCs) have emerged as an attractive low-power solution, and although they introduce non-linear distortion, their achievable capacity can remain close to that of high-resolution ADCs in narrowband channels under low to moderate signal-to-noise ratios (SNRs). However, applying such ADCs to discrete Fourier transform (DFT)-based orthogonal frequency-division multiple access (OFDMA) systems poses difficulties, as the coarse quantization severely degrades discrete-time processing, particularly at mid to high SNR levels. To overcome this challenge, we introduce a receiver design that combines one-bit ADCs with an analog low-pass filter (LPF), enabling improved compatibility with OFDMA while suppressing quantization-induced distortion. This design provides a practical and efficient framework for wideband multicarrier systems by supporting simplified symbol detection, determining the optimal LPF cutoff bandwidth, and identifying the best detection timing. Simulation results confirm that the proposed scheme significantly outperforms conventional digital-domain OFDMA when both employ one-bit ADCs, especially under the ideal LPF assumption. Moreover, even with a simple first-order LPF, the system attains performance on par with advanced deep learning-based receivers, despite requiring far less structural complexity.