Deep Learning-based Transceiver Design for Pilotless Communication over Fading Channel with one-bit ADC and Oversampling. - Metasebia D. Gemeda; Min S. Han; Ameha T. Abebe; Chung Gu Kang 001 (APCC, 2022)

Deep Learning Transceiver for Terahertz Band Communication System with 1-bit ADC and Oversampling. - Metasebia D. Gemeda; Min S. Han; Ameha T. Abebe; Chung Gu Kang 001 (CCNC, 2022)

Deep learning-based Collision-aware Multi-user Detection for Grant-free Sparse Code Multiple Access Systems. - Minsig Han; Metasebia G. Demissu; Ameha T. Abebe; Chung G. Kang 001 (APCC, 2023)

Deep Learning-based Transceiver with One-bit ADC Over Fading Channel. - Metasebia D. Gemeda; Min S. Han; Ameha T. Abebe; Chung Gu Kang 001 (ICCCN, 2023)

Generalization Performance of Deep Learning-based Multi-User Detection for GF-SCMA Systems. - Metasebia D. Gemeda; Minsig Han; Ameha T. Abebe; Chung G. Kang 001 (APCC, 2024)

Design of Deep Learning-Based 1-bit Transceiver With Oversampling and Faster-Than-Nyquist (FTN) Signaling. - Metasebia D. Gemeda; Minsig Han; Ameha Tsegaye Abebe; Chung Gu Kang 001 (IEEE Access, 2024)

Deep Learning-Based Data-Aided Activity Detection with Extraction Network for Grant-Free Sparse Code Multiple Access. - Minsig Han; Metasebia D. Gemeda; Ameha T. Abebe; Chung G. Kang 001 (WCNC, 2025)

Deep Learning-Based Collision-Aware Multi-User Detection for Channel-Modulated Codebooks in Grant-Free Sparse Code Multiple Access Systems. - Minsig Han; Metasebia D. Gemeda; Ameha T. Abebe; Chung Gu Kang 001 (IEEE Trans. Cogn. Commun. Netw., 2025)