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Ameha T. Abebe
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2020 – today
- 2024
- [j10]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) - 2023
- [j9]Chung G. Kang, Ameha Tsegaye Abebe, Jinho Choi:
NOMA-Based Grant-Free Massive Access for Latency-Critical Internet of Things: A Scalable and Reliable Framework. IEEE Internet Things Mag. 6(3): 12-18 (2023) - [j8]Fitsum Debebe Tilahun, Ameha Tsegaye Abebe, Chung Gu Kang:
Multi-Agent Reinforcement Learning for Distributed Resource Allocation in Cell-Free Massive MIMO-Enabled Mobile Edge Computing Network. IEEE Trans. Veh. Technol. 72(12): 16454-16468 (2023) - [c21]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 - [c20]Sripada Kadambar, Ameha T. Abebe, Ashwini Kumar, Ashok Kumar Reddy Chavva, Hyoungju Ji:
Deep Learning Based Joint CSI Compression and Prediction for Beyond-5G Systems. GLOBECOM 2023: 4792-4797 - [c19]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 - [i7]Minsig Han, Ameha T. Abebe, Chung Gu Kang:
Deep Learning-based Data-aided Activity Detection with Extraction Network in Grant-free Sparse Code Multiple Access Systems. CoRR abs/2305.07945 (2023) - 2022
- [j7]Minsig Han, Hanchang Seo, Ameha Tsegaye Abebe, Chung Gu Kang:
Deep Learning-Based Codebook Design for Code-Domain Non-Orthogonal Multiple Access: Approaching Single-User Bit-Error Rate Performance. IEEE Trans. Cogn. Commun. Netw. 8(2): 1159-1173 (2022) - [c18]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 - [c17]Fitsum Debebe Tilahun, Ameha Tsegaye Abebe, Chung Gu Kang:
Delay-aware Joint Resource Allocation in Cell-Free Mobile Edge Computing. APCC 2022: 81-82 - [c16]Minsig Han, Ameha T. Abebe, Chung Gu Kang:
On the Performance of Deep Learning-based Data-aided Active User Detection for GF-SCMA System. APCC 2022: 238-243 - [c15]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 - [c14]Minsig Han, Ameha T. Abebe, Chung Gu Kang:
Data-aided Active User Detection with a User Activity Extraction Network for Grant-free SCMA Systems. GLOBECOM (Workshops) 2022: 631-636 - [c13]Fitsum Debebe Tilahun, Ameha Tsegaye Abebe, Chung Gu Kang:
DRL-based Distributed Resource Allocation for Edge Computing in Cell-Free Massive MIMO Network. GLOBECOM 2022: 3845-3850 - [i6]Fitsum Debebe Tilahun, Ameha Tsegaye Abebe, Chung Gu Kang:
Multi-Agent Reinforcement Learning for Distributed Joint Communication and Computing Resource Allocation over Cell-Free Massive MIMO-enabled Mobile Edge Computing Network. CoRR abs/2201.09057 (2022) - [i5]Minsig Han, Ameha T. Abebe, Chung Gu Kang:
Data-aided Active User Detection with a User Activity Extraction Network for Grant-free SCMA Systems. CoRR abs/2205.10780 (2022) - [i4]Minsig Han, Ameha Tsegaye Abebe, Chung Gu Kang:
On the Performance of Deep Learning-based Data-aided Active-user Detection for GF-SCMA System. CoRR abs/2208.08128 (2022) - [i3]Fitsum Debebe Tilahun, Ameha Tsegaye Abebe, Chung Gu Kang:
DRL-based Distributed Resource Allocation for Edge Computing in Cell-Free Massive MIMO Network. CoRR abs/2208.10725 (2022) - 2021
- [j6]Ameha Tsegaye Abebe, Chung Gu Kang:
MIMO-Based Reliable Grant-Free Massive Access With QoS Differentiation for 5G and Beyond. IEEE J. Sel. Areas Commun. 39(3): 773-787 (2021) - [j5]Ameha Tsegaye Abebe, Chung Gu Kang:
Multi-Sequence Spreading Random Access (MSRA) for Compressive Sensing-Based Grant-Free Communication. IEEE Trans. Commun. 69(11): 7531-7543 (2021) - [c12]Fitsum Debebe Tilahun, Ameha Tsegaye Abebe, Chung Gu Kang:
Joint Communication and Computing Resource Allocation over Cell-Free Massive MIMO-enabled Mobile Edge Network: A Deep Reinforcement Learning-based Approach. ICAIIC 2021: 344-346 - [i2]Ameha Tsegaye Abebe, Chung Gu Kang:
Multi-sequence Spreading Random Access (MSRA) for Compressive Sensing-based Grant-free Communication. CoRR abs/2103.11167 (2021) - [i1]Minsig Han, Hanchang Seo, Ameha Tsegaye Abebe, Chung Gu Kang:
Deep Learning-based Codebook Design for Code-domain Non-Orthogonal Multiple Access Achieving a Single-User Bit Error Rate Performance. CoRR abs/2104.00818 (2021) - 2020
- [j4]Ameha T. Abebe, Chung Gu Kang:
Multiple Codebook-Based Non-Orthogonal Multiple Access. IEEE Wirel. Commun. Lett. 9(5): 683-687 (2020) - [c11]Minsig Han, Hanchang Seo, Ameha T. Abebe, Chung Gu Kang:
Deep Learning-Based Multi-User Multi-Dimensional Constellation Design in Code Domain Non-Orthogonal Multiple Access. ICC Workshops 2020: 1-6
2010 – 2019
- 2019
- [j3]Ameha Tsegaye Abebe, Chung Gu Kang:
Grant-Free Uplink Transmission With Multi-Codebook-Based Sparse Code Multiple Access (MC-SCMA). IEEE Access 7: 169853-169864 (2019) - [j2]Ameha Tsegaye Abebe, Chung Gu Kang:
Joint Channel Estimation and MUD for Scalable Grant-Free Random Access. IEEE Commun. Lett. 23(12): 2229-2233 (2019) - [c10]Ameha T. Abebe, Chung Gu Kang:
Enabling Grant-Free Access with Non-orthogonal Preambles and Multi-codebook SCMA. ICTC 2019: 883-888 - 2018
- [c9]Ameha T. Abebe, Chung Gu Kang:
FTN-based MIMO transmission for efficient coexistence of broadband and sporadic traffics. ICOIN 2018: 356-358 - [c8]Ameha T. Abebe, Chung Gu Kang:
Iterative Decoders for FTN-based NOMA Scheme to Multiplex Sporadic and Broadband Transmission. ICTC 2018: 813-817 - [c7]Ameha T. Abebe, Chung Gu Kang:
FTN-Based MIMO Transmission as a NOMA Scheme for Efficient Coexistence of Broadband and Sporadic Traffics. VTC Spring 2018: 1-5 - 2017
- [c6]Ameha T. Abebe, Chung Gu Kang:
Comprehensive grant-free random access for massive & low latency communication. ICC 2017: 1-6 - [c5]Ameha T. Abebe, Joonsung Lee, Minjoong Rim, Chung Gu Kang:
Multi-Cell Performance of Grant-Free and Non-Orthogonal Multiple Access. VTC Spring 2017: 1-6 - [c4]Ameha T. Abebe, Chung Gu Kang:
On the Performance of Joint Channel Estimation and MUD for CS-Based Random Access in Multi-Cell Environment. WCNC Workshops 2017: 1-6 - 2016
- [j1]Ameha T. Abebe, Chung Gu Kang:
Iterative Order Recursive Least Square Estimation for Exploiting Frame-Wise Sparsity in Compressive Sensing-Based MTC. IEEE Commun. Lett. 20(5): 1018-1021 (2016) - [c3]Ameha T. Abebe, Chung Gu Kang:
Overlaying machine-to-machine (M2M) traffic over human-to-human (H2H) traffic in OFDMA system: Compressive-sensing approach. MoWNet 2016: 1-6 - 2015
- [c2]Ameha T. Abebe, Chung Gu Kang:
Compressive Sensing-Based Random Access with Multiple-Sequence Spreading for MTC. GLOBECOM Workshops 2015: 1-6 - [c1]Ameha T. Abebe, Chung Gu Kang:
Performance of multi-sequence spreading random access for machine-type communication. ICTC 2015: 245-247
Coauthor Index
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last updated on 2024-05-08 21:43 CEST by the dblp team
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