AI-enabled future wireless networks: Challenges, opportunities, and open issues M Elsayed, M Erol-Kantarci IEEE Vehicular Technology Magazine 14 (3), 70-77, 2019 | 152 | 2019 |
AI-Enabled Radio Resource Allocation in 5G for URLLC and eMBB Users M Elsayed, M Erol-Kantarci IEEE 2nd 5G World Forum (5GWF), 2019 | 48 | 2019 |
RAN resource slicing in 5G using multi-agent correlated Q-learning H Zhou, M Elsayed, M Erol-Kantarci 2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile …, 2021 | 45 | 2021 |
Low-latency communications for community resilience microgrids: A reinforcement learning approach M Elsayed, M Erol-Kantarci, B Kantarci, L Wu, J Li IEEE Transactions on Smart Grid 11 (2), 1091-1099, 2019 | 44 | 2019 |
Transfer reinforcement learning for 5G new radio mmWave networks M Elsayed, M Erol-Kantarci, H Yanikomeroglu IEEE Transactions on Wireless Communications 20 (5), 2838-2849, 2020 | 35 | 2020 |
Real-time implementation and evaluation of an adaptive energy-aware data compression for wireless EEG monitoring systems A Awad, M Hamdy, A Mohamed, H Alnuweiri 10th International Conference on Heterogeneous Networking for Quality …, 2014 | 27 | 2014 |
Reinforcement learning-based joint power and resource allocation for URLLC in 5G M Elsayed, M Erol-Kantarci 2019 IEEE Global Communications Conference (GLOBECOM), 1-6, 2019 | 25 | 2019 |
Deep reinforcement learning for reducing latency in mission critical services M Elsayed, M Erol-Kantarci 2018 IEEE Global Communications Conference (GLOBECOM), 1-6, 2018 | 25 | 2018 |
Machine learning-based inter-beam inter-cell interference mitigation in mmWave M Elsayed, K Shimotakahara, M Erol-Kantarci ICC 2020-2020 IEEE International Conference on Communications (ICC), 1-6, 2020 | 23 | 2020 |
Radio resource and beam management in 5G mmWave using clustering and deep reinforcement learning M Elsayed, M Erol-Kantarci GLOBECOM 2020-2020 IEEE Global Communications Conference, 1-6, 2020 | 22 | 2020 |
QoS-aware joint component carrier selection and resource allocation for carrier aggregation in 5G R Joda, M Elsayed, H Abou-Zeid, R Atawia, AB Sediq, G Boudreau, ... ICC 2021-IEEE International Conference on Communications, 1-6, 2021 | 21 | 2021 |
Deep Q-learning for low-latency tactile applications: Microgrid communications M Elsayed, M Erol-Kantarci 2018 IEEE International Conference on Communications, Control, and Computing …, 2018 | 18 | 2018 |
High-reliability multi-agent Q-learning-based scheduling for D2D microgrid communications K Shimotakahara, M Elsayed, K Hinzer, M Erol-Kantarci IEEE Access 7, 74412-74421, 2019 | 17 | 2019 |
Distributed interference management using Q-Learning in Cognitive Femtocell networks: New USRP-based Implementation MHM Elsayed, A Mohamed 2015 7th International Conference on New Technologies, Mobility and Security …, 2015 | 15 | 2015 |
Carrier aggregation with optimized UE power consumption in 5G R Joda, M Elsayed, H Abou-Zeid, R Atawia, AB Sediq, G Boudreau, ... IEEE Networking Letters 3 (2), 61-65, 2021 | 12 | 2021 |
Traffic steering for 5G Multi-RAT deployments using deep reinforcement learning MA Habib, H Zhou, PE Iturria-Rivera, M Elsayed, M Bavand, R Gaigalas, ... 2023 IEEE 20th Consumer Communications & Networking Conference (CCNC), 164-169, 2023 | 9 | 2023 |
The internet of senses: Building on semantic communications and edge intelligence R Joda, M Elsayed, H Abou-Zeid, R Atawia, AB Sediq, G Boudreau, ... IEEE Network, 2022 | 9 | 2022 |
Learning-based resource allocation for data-intensive and immersive tactile applications M Elsayed, M Erol-Kantarci 2018 IEEE 5G World Forum (5GWF), 278-283, 2018 | 9 | 2018 |
ASIP design of a reconfigurable channel estimator for OFDM systems M Hamdy, OA Nasr, AF Shalash ICM 2011 Proceeding, 1-5, 2011 | 8 | 2011 |
Hierarchical reinforcement learning for RIS-assisted energy-efficient RAN H Zhou, L Kong, M Elsayed, M Bavand, R Gaigalas, S Furr, ... GLOBECOM 2022-2022 IEEE Global Communications Conference, 3326-3331, 2022 | 7 | 2022 |