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Metasebia D. Gemeda

Metasebia G. Demissu

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2020 – today

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2024
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Metasebia D. Gemeda, Minsig Han, Ameha Tsegaye Abebe, Chung Gu Kang:
Design of Deep Learning-Based 1-bit Transceiver With Oversampling and Faster-Than-Nyquist (FTN) Signaling. IEEE Access 12: 43968-43983 (2024)
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Metasebia D. Gemeda, Minsig Han, Ameha T. Abebe, Chung G. Kang:
Generalization Performance of Deep Learning-based Multi-User Detection for GF-SCMA Systems. APCC 2024: 319-322
2023
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  - conf/apcc/HanDAK23
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Minsig Han, Metasebia G. Demissu, Ameha T. Abebe, Chung G. Kang:
Deep learning-based Collision-aware Multi-user Detection for Grant-free Sparse Code Multiple Access Systems. APCC 2023: 126-131
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  - conf/icccn/GemedaHAK23
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Metasebia D. Gemeda, Min S. Han, Ameha T. Abebe, Chung Gu Kang:
Deep Learning-based Transceiver with One-bit ADC Over Fading Channel. ICCCN 2023: 1-6
2022
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  - conf/apcc/GemedaHAK22
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Metasebia D. Gemeda, Min S. Han, Ameha T. Abebe, Chung Gu Kang:
Deep Learning-based Transceiver Design for Pilotless Communication over Fading Channel with one-bit ADC and Oversampling. APCC 2022: 60-65
[c1]
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Metasebia D. Gemeda, Min S. Han, Ameha T. Abebe, Chung Gu Kang:
Deep Learning Transceiver for Terahertz Band Communication System with 1-bit ADC and Oversampling. CCNC 2022: 515-516

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