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Ameha Tsegaye Abebe
Ameha Tsegaye Abebe
Staff Engineer, Samsung Research
在 korea.ac.kr 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Iterative order recursive least square estimation for exploiting frame-wise sparsity in compressive sensing-based MTC
AT Abebe, CG Kang
IEEE Communications Letters 20 (5), 1018-1021, 2016
802016
Comprehensive grant-free random access for massive & low latency communication
AT Abebe, CG Kang
2017 IEEE International Conference on Communications (ICC), 1-6, 2017
602017
Compressive sensing-based random access with multiple-sequence spreading for MTC
AT Abebe, CG Kang
2015 IEEE Globecom Workshops (GC Wkshps), 1-6, 2015
302015
Grant-free uplink transmission with multi-codebook-based sparse code multiple access (MC-SCMA)
AT Abebe, CG Kang
IEEE Access 7, 169853-169864, 2019
272019
MIMO-based reliable grant-free massive access with QoS differentiation for 5G and beyond
AT Abebe, CG Kang
IEEE Journal on Selected Areas in Communications 39 (3), 773-787, 2020
182020
Multiple codebook-based non-orthogonal multiple access
AT Abebe, CG Kang
IEEE Wireless Communications Letters 9 (5), 683-687, 2020
172020
Joint channel estimation and MUD for scalable grant-free random access
AT Abebe, CG Kang
IEEE Communications Letters 23 (12), 2229-2233, 2019
142019
DRL-based distributed resource allocation for edge computing in cell-free massive MIMO network
FD Tilahun, AT Abebe, CG Kang
GLOBECOM 2022-2022 IEEE Global Communications Conference, 3845-3850, 2022
132022
Deep learning-based multi-user multi-dimensional constellation design in code domain non-orthogonal multiple access
M Han, H Seo, AT Abebe, CG Kang
2020 IEEE International Conference on Communications Workshops (ICC …, 2020
112020
IterativeOrder Recursive Least Square Algorithmfor Compressive Sensing-based Machine Type Communication (MTC)
AT Abebe, CG Kang
한국통신학회 학술대회논문집, 290-291, 2015
112015
Multi-agent reinforcement learning for distributed resource allocation in cell-free massive MIMO-enabled mobile edge computing network
FD Tilahun, AT Abebe, CG Kang
IEEE Transactions on Vehicular Technology, 2023
102023
Multi-sequence spreading random access (MSRA) for compressive sensing-based grant-free communication
AT Abebe, CG Kang
IEEE Transactions on Communications 69 (11), 7531-7543, 2021
102021
FTN-based MIMO transmission as a NOMA scheme for efficient coexistence of broadband and sporadic traffics
AT Abebe, CG Kang
2018 IEEE 87th Vehicular Technology Conference (VTC Spring), 1-5, 2018
102018
Deep learning-based codebook design for code-domain non-orthogonal multiple access: Approaching single-user bit-error rate performance
M Han, H Seo, AT Abebe, CG Kang
IEEE Transactions on Cognitive Communications and Networking 8 (2), 1159-1173, 2021
92021
NOMA-based grant-free massive access for latency-critical Internet of Things: A scalable and reliable framework
CG Kang, AT Abebe, J Choi
IEEE Internet of Things Magazine 6 (3), 12-18, 2023
82023
Multi-cell performance of grant-free and non-orthogonal multiple access
AT Abebe, J Lee, M Rim, CG Kang
2017 IEEE 85th Vehicular Technology Conference (VTC Spring), 1-6, 2017
82017
Data-aided Active User Detection with a User Activity Extraction Network for Grant-free SCMA Systems
M Han, AT Abebe, CG Kang
2022 IEEE Globecom Workshops (GC Wkshps), 631-636, 2022
62022
Multi-agent reinforcement learning for distributed joint communication and computing resource allocation over cell-free massive MIMO-enabled mobile edge computing network
FD Tilahun, AT Abebe, CG Kang
arXiv preprint arXiv:2201.09057, 2021
62021
Overlaying machine-to-machine (M2M) traffic over human-to-human (H2H) traffic in OFDMA system: Compressive-sensing approach
AT Abebe, CG Kang
2016 International Conference on Selected Topics in Mobile & Wireless …, 2016
62016
On the Performance of Deep Learning-based Data-aided Active User Detection for GF-SCMA System
M Han, AT Abebe, CG Kang
arXiv preprint arXiv:2208.08128, 2022
42022
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