Compressive Sensing-Based Random Access with Multiple-Sequence Spreading for MTC. - Ameha T. Abebe; Chung Gu Kang 001 (GLOBECOM Workshops, 2015)

Performance of multi-sequence spreading random access for machine-type communication. - Ameha T. Abebe; Chung Gu Kang 001 (ICTC, 2015)

Overlaying machine-to-machine (M2M) traffic over human-to-human (H2H) traffic in OFDMA system: Compressive-sensing approach. - Ameha T. Abebe; Chung Gu Kang 001 (MoWNet, 2016)

Iterative Order Recursive Least Square Estimation for Exploiting Frame-Wise Sparsity in Compressive Sensing-Based MTC. - Ameha T. Abebe; Chung Gu Kang 001 (IEEE Commun. Lett., 2016)

Comprehensive grant-free random access for massive & low latency communication. - Ameha T. Abebe; Chung Gu Kang 001 (ICC, 2017)

Multi-Cell Performance of Grant-Free and Non-Orthogonal Multiple Access. - Ameha T. Abebe; Joonsung Lee; Minjoong Rim; Chung Gu Kang 001 (VTC Spring, 2017)

On the Performance of Joint Channel Estimation and MUD for CS-Based Random Access in Multi-Cell Environment. - Ameha T. Abebe; Chung Gu Kang 001 (WCNC Workshops, 2017)

FTN-based MIMO transmission for efficient coexistence of broadband and sporadic traffics. - Ameha T. Abebe; Chung Gu Kang 001 (ICOIN, 2018)

Iterative Decoders for FTN-based NOMA Scheme to Multiplex Sporadic and Broadband Transmission. - Ameha T. Abebe; Chung Gu Kang 001 (ICTC, 2018)

FTN-Based MIMO Transmission as a NOMA Scheme for Efficient Coexistence of Broadband and Sporadic Traffics. - Ameha T. Abebe; Chung Gu Kang 001 (VTC Spring, 2018)

Enabling Grant-Free Access with Non-orthogonal Preambles and Multi-codebook SCMA. - Ameha T. Abebe; Chung Gu Kang 001 (ICTC, 2019)

Grant-Free Uplink Transmission With Multi-Codebook-Based Sparse Code Multiple Access (MC-SCMA). - Ameha Tsegaye Abebe; Chung Gu Kang 001 (IEEE Access, 2019)

Joint Channel Estimation and MUD for Scalable Grant-Free Random Access. - Ameha Tsegaye Abebe; Chung Gu Kang 001 (IEEE Commun. Lett., 2019)

Deep Learning-Based Multi-User Multi-Dimensional Constellation Design in Code Domain Non-Orthogonal Multiple Access. - Minsig Han; Hanchang Seo; Ameha T. Abebe; Chung Gu Kang 001 (ICC Workshops, 2020)

Multiple Codebook-Based Non-Orthogonal Multiple Access. - Ameha T. Abebe; Chung Gu Kang 001 (IEEE Wirel. Commun. Lett., 2020)

Joint Communication and Computing Resource Allocation over Cell-Free Massive MIMO-enabled Mobile Edge Network: A Deep Reinforcement Learning-based Approach. - Fitsum Debebe Tilahun; Ameha Tsegaye Abebe; Chung Gu Kang 001 (ICAIIC, 2021)

Deep Learning-based Codebook Design for Code-domain Non-Orthogonal Multiple Access Achieving a Single-User Bit Error Rate Performance. - Minsig Han; Hanchang Seo; Ameha Tsegaye Abebe; Chung Gu Kang 001 (CoRR, 2021)

MIMO-Based Reliable Grant-Free Massive Access With QoS Differentiation for 5G and Beyond. - Ameha Tsegaye Abebe; Chung Gu Kang 001 (IEEE J. Sel. Areas Commun., 2021)

Multi-Sequence Spreading Random Access (MSRA) for Compressive Sensing-Based Grant-Free Communication. - Ameha Tsegaye Abebe; Chung Gu Kang 001 (IEEE Trans. Commun., 2021)

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)

On the Performance of Deep Learning-based Data-aided Active User Detection for GF-SCMA System. - Minsig Han; Ameha T. Abebe; Chung Gu Kang 001 (APCC, 2022)

Delay-aware Joint Resource Allocation in Cell-Free Mobile Edge Computing. - Fitsum Debebe Tilahun; Ameha Tsegaye 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)

Data-aided Active User Detection with a User Activity Extraction Network for Grant-free SCMA Systems. - Minsig Han; Ameha T. Abebe; Chung Gu Kang 001 (GLOBECOM (Workshops), 2022)

DRL-based Distributed Resource Allocation for Edge Computing in Cell-Free Massive MIMO Network. - Fitsum Debebe Tilahun; Ameha Tsegaye Abebe; Chung Gu Kang 001 (GLOBECOM, 2022)

Multi-Agent Reinforcement Learning for Distributed Joint Communication and Computing Resource Allocation over Cell-Free Massive MIMO-enabled Mobile Edge Computing Network. - Fitsum Debebe Tilahun; Ameha Tsegaye Abebe; Chung Gu Kang 001 (CoRR, 2022)

Deep Learning-Based Codebook Design for Code-Domain Non-Orthogonal Multiple Access: Approaching Single-User Bit-Error Rate Performance. - Minsig Han; Hanchang Seo; Ameha Tsegaye Abebe; Chung Gu Kang 001 (IEEE Trans. Cogn. Commun. Netw., 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 Joint CSI Compression and Prediction for Beyond-5G Systems. - Sripada Kadambar; Ameha T. Abebe; Ashwini Kumar; Ashok Kumar Reddy Chavva; Hyoungju Ji (GLOBECOM, 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)

Deep Learning-based Data-aided Activity Detection with Extraction Network in Grant-free Sparse Code Multiple Access Systems. - Minsig Han; Ameha T. Abebe; Chung Gu Kang 001 (CoRR, 2023)

NOMA-Based Grant-Free Massive Access for Latency-Critical Internet of Things: A Scalable and Reliable Framework. - Chung G. Kang 001; Ameha Tsegaye Abebe; Jinho Choi 001 (IEEE Internet Things Mag., 2023)

Multi-Agent Reinforcement Learning for Distributed Resource Allocation in Cell-Free Massive MIMO-Enabled Mobile Edge Computing Network. - Fitsum Debebe Tilahun; Ameha Tsegaye Abebe; Chung Gu Kang 001 (IEEE Trans. Veh. Technol., 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)