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New CRFCAN network tackles sub-THz communication noise

By PulseAugur Editorial · [1 sources] ·

Researchers have developed CRFCAN, a novel complex-valued residual FFT convolutional attention network designed for joint channel and phase noise estimation in sub-terahertz (sub-THz) communications. This end-to-end network integrates Fast Fourier Transform (FFT) modules to process features across time and frequency domains, effectively capturing fading and phase distortions. CRFCAN demonstrates superior performance over conventional methods and existing deep learning models in terms of normalized mean square error and bit error rate, offering robust and practical estimation for sub-THz receivers. AI

RANK_REASON The cluster contains a research paper detailing a new technical method for signal processing in communications. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

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New CRFCAN network tackles sub-THz communication noise

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The cluster contains a research paper detailing a new technical method for signal processing in communications. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Ruilin Wang, Xiaodai Dong ·

    CRFCAN: A Complex-Valued Cross-Domain Residual Network for Joint Channel and Phase Noise Estimation in Sub-THz OFDM Systems

    arXiv:2609.12244v1 Announce Type: new Abstract: In sub-terahertz (sub-THz) communications, the coupling of ultra-wide bandwidth and severe phase noise (PN) impairments renders conventional joint channel and PN estimation highly complex and computationally prohibitive. To address …

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