Ameha T. Abebe
Orcid: 0000-0001-5367-3020
According to our database1,
Ameha T. Abebe
authored at least 34 papers
between 2015 and 2024.
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Bibliography
2024
Design of Deep Learning-Based 1-bit Transceiver With Oversampling and Faster-Than-Nyquist (FTN) Signaling.
IEEE Access, 2024
2023
Multi-Agent Reinforcement Learning for Distributed Resource Allocation in Cell-Free Massive MIMO-Enabled Mobile Edge Computing Network.
IEEE Trans. Veh. Technol., December, 2023
NOMA-Based Grant-Free Massive Access for Latency-Critical Internet of Things: A Scalable and Reliable Framework.
IEEE Internet Things Mag., September, 2023
Deep Learning-based Data-aided Activity Detection with Extraction Network in Grant-free Sparse Code Multiple Access Systems.
CoRR, 2023
Proceedings of the 32nd International Conference on Computer Communications and Networks, 2023
Proceedings of the IEEE Global Communications Conference, 2023
Deep learning-based Collision-aware Multi-user Detection for Grant-free Sparse Code Multiple Access Systems.
Proceedings of the 28th Asia Pacific Conference on Communications, 2023
2022
Deep Learning-Based Codebook Design for Code-Domain Non-Orthogonal Multiple Access: Approaching Single-User Bit-Error Rate Performance.
IEEE Trans. Cogn. Commun. Netw., 2022
Multi-Agent Reinforcement Learning for Distributed Joint Communication and Computing Resource Allocation over Cell-Free Massive MIMO-enabled Mobile Edge Computing Network.
CoRR, 2022
DRL-based Distributed Resource Allocation for Edge Computing in Cell-Free Massive MIMO Network.
Proceedings of the IEEE Global Communications Conference, 2022
Data-aided Active User Detection with a User Activity Extraction Network for Grant-free SCMA Systems.
Proceedings of the IEEE Globecom 2022 Workshops, 2022
Deep Learning Transceiver for Terahertz Band Communication System with 1-bit ADC and Oversampling.
Proceedings of the 19th IEEE Annual Consumer Communications & Networking Conference, 2022
Proceedings of the 27th Asia Pacific Conference on Communications, 2022
On the Performance of Deep Learning-based Data-aided Active User Detection for GF-SCMA System.
Proceedings of the 27th Asia Pacific Conference on Communications, 2022
Deep Learning-based Transceiver Design for Pilotless Communication over Fading Channel with one-bit ADC and Oversampling.
Proceedings of the 27th Asia Pacific Conference on Communications, 2022
2021
Multi-Sequence Spreading Random Access (MSRA) for Compressive Sensing-Based Grant-Free Communication.
IEEE Trans. Commun., 2021
MIMO-Based Reliable Grant-Free Massive Access With QoS Differentiation for 5G and Beyond.
IEEE J. Sel. Areas Commun., 2021
Deep Learning-based Codebook Design for Code-domain Non-Orthogonal Multiple Access Achieving a Single-User Bit Error Rate Performance.
CoRR, 2021
Joint Communication and Computing Resource Allocation over Cell-Free Massive MIMO-enabled Mobile Edge Network: A Deep Reinforcement Learning-based Approach.
Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2021
2020
IEEE Wirel. Commun. Lett., 2020
Deep Learning-Based Multi-User Multi-Dimensional Constellation Design in Code Domain Non-Orthogonal Multiple Access.
Proceedings of the 2020 IEEE International Conference on Communications Workshops, 2020
2019
IEEE Commun. Lett., 2019
Grant-Free Uplink Transmission With Multi-Codebook-Based Sparse Code Multiple Access (MC-SCMA).
IEEE Access, 2019
Proceedings of the 2019 International Conference on Information and Communication Technology Convergence, 2019
2018
FTN-Based MIMO Transmission as a NOMA Scheme for Efficient Coexistence of Broadband and Sporadic Traffics.
Proceedings of the 87th IEEE Vehicular Technology Conference, 2018
Iterative Decoders for FTN-based NOMA Scheme to Multiplex Sporadic and Broadband Transmission.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2018
FTN-based MIMO transmission for efficient coexistence of broadband and sporadic traffics.
Proceedings of the 2018 International Conference on Information Networking, 2018
2017
On the Performance of Joint Channel Estimation and MUD for CS-Based Random Access in Multi-Cell Environment.
Proceedings of the 2017 IEEE Wireless Communications and Networking Conference Workshops, 2017
Proceedings of the 85th IEEE Vehicular Technology Conference, 2017
Proceedings of the IEEE International Conference on Communications, 2017
2016
Iterative Order Recursive Least Square Estimation for Exploiting Frame-Wise Sparsity in Compressive Sensing-Based MTC.
IEEE Commun. Lett., 2016
Overlaying machine-to-machine (M2M) traffic over human-to-human (H2H) traffic in OFDMA system: Compressive-sensing approach.
Proceedings of the International Conference on Selected Topics in Mobile & Wireless Networking, 2016
2015
Performance of multi-sequence spreading random access for machine-type communication.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2015
Proceedings of the 2015 IEEE Globecom Workshops, San Diego, CA, USA, December 6-10, 2015, 2015