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ORCIDHatem Abou-Zeid
Hatem Abou-zeid
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2020 – today
- 2024
[j27]Fazal Muhammad Ali Khan
, Hatem Abou-Zeid, Syed Ali Hassan:
Deep Compression for Efficient and Accelerated Over-the-Air Federated Learning. IEEE Internet Things J. 11(15): 25802-25817 (2024)- [j26]Fazal Muhammad Ali Khan, Hatem Abou-Zeid, Aryan Kaushik, Syed Ali Hassan:
Advancing IIoT with Over-the-Air Federated Learning: The Role of Iterative Magnitude Pruning. IEEE Internet Things Mag. 7(5): 46-52 (2024) - [j25]Ahmad M. Nagib, Hatem Abou-Zeid, Hossam S. Hassanein:
Safe and Accelerated Deep Reinforcement Learning-Based O-RAN Slicing: A Hybrid Transfer Learning Approach. IEEE J. Sel. Areas Commun. 42(2): 310-325 (2024) - [j24]Juncheng Wang, Ben Liang, Min Dong, Gary Boudreau, Hatem Abou-Zeid:
Joint Online Optimization of Model Training and Analog Aggregation for Wireless Edge Learning. IEEE/ACM Trans. Netw. 32(2): 1212-1228 (2024) - [j23]Juncheng Wang, Min Dong, Ben Liang, Gary Boudreau, Hatem Abou-Zeid:
Hierarchical Semi-Online Optimization for Cooperative MIMO Networks With Information Parsing. IEEE Trans. Wirel. Commun. 23(3): 1943-1958 (2024) - [c41]Ahmad M. Nagib, Hatem Abou-zeid, Hossam S. Hassanein:
Developing Trustworthy Reinforcement Learning Applications for Next-Generation Open Radio Access Networks. CCECE 2024: 137-138 - [c40]Oluwagbenga Paul Idowu, Eli Kinney-Lang, Adam Gulamhusein, Brian Irvine, Adam Kirton, Hatem Abou-Zeid:
Profiling a Raspberry Pi-Based Motor Imagery Classification to Facilitate At-Home BCI for Children with Disabilities. EMBC 2024: 1-7 - [c39]Brian Irvine, Hatem Abou-Zeid, Adam Kirton, Eli Kinney-Lang:
Benchmarking motor imagery algorithms for pediatric users of brain-computer interfaces. EMBC 2024: 1-4 - [c38]Fazal Muhammad Ali Khan, Hatem Abou-Zeid, Syed Ali Hassan:
Enhancing the Performance of Model Pruning in Over-the-Air Federated Learning with Non-IID Data. ICC Workshops 2024: 487-492 - [i19]Fazal Muhammad Ali Khan, Hatem Abou-Zeid, Aryan Kaushik, Syed Ali Hassan:
Advancing IIoT with Over-the-Air Federated Learning: The Role of Iterative Magnitude Pruning. CoRR abs/2403.14120 (2024) - [i18]Ahmed Aboulfotouh, Ashkan Eshaghbeigi, Dimitrios Karslidis, Hatem Abou-Zeid:
Self-Supervised Radio Pre-training: Toward Foundational Models for Spectrogram Learning. CoRR abs/2411.09849 (2024) - [i17]Ahmed Aboulfotouh, Ashkan Eshaghbeigi, Hatem Abou-Zeid:
Building 6G Radio Foundation Models with Transformer Architectures. CoRR abs/2411.09996 (2024) - 2023
- [j22]Mariam Elsayem, Hatem Abou-Zeid, Ali Afana, Sidney Givigi:
Intelligent Resource Allocation for Grant-Free Access: A Reinforcement Learning Approach. IEEE Netw. Lett. 5(3): 154-158 (2023) - [j21]Ahmad M. Nagib, Hatem Abou-zeid, Hossam S. Hassanein:
Toward Safe and Accelerated Deep Reinforcement Learning for Next-Generation Wireless Networks. IEEE Netw. 37(2): 182-189 (2023) - [j20]Roghayeh Joda, Medhat H. M. Elsayed, Hatem Abou-Zeid, Ramy Atawia, Akram Bin Sediq, Gary Boudreau, Melike Erol-Kantarci, Lajos Hanzo:
The Internet of Senses: Building on Semantic Communications and Edge Intelligence. IEEE Netw. 37(3): 68-75 (2023) - [j19]Ahmad M. Nagib, Hatem Abou-Zeid, Hossam S. Hassanein:
Accelerating Reinforcement Learning via Predictive Policy Transfer in 6G RAN Slicing. IEEE Trans. Netw. Serv. Manag. 20(2): 1170-1183 (2023) - [j18]Juncheng Wang, Min Dong, Ben Liang, Gary Boudreau, Hatem Abou-Zeid:
Delay-Tolerant OCO With Long-Term Constraints: Algorithm and Its Application to Network Resource Allocation. IEEE/ACM Trans. Netw. 31(1): 147-163 (2023) - [c37]Elsayed Mohammed, Omar Mashaal, Hatem Abou-Zeid:
Using Early Exits for Fast Inference in Automatic Modulation Classification. GLOBECOM 2023: 291-296 - [c36]Ahmad M. Nagib, Hatem Abou-zeid, Hossam S. Hassanein:
How Does Forecasting Affect the Convergence of DRL Techniques in O-RAN Slicing? GLOBECOM 2023: 2644-2649 - [c35]Sampreet Vaidya, Hatem Abou-Zeid, Diwakar Krishnamurthy:
Transfer Learning for Online Prediction of Virtual Reality Cloud Gaming Traffic. GLOBECOM 2023: 4668-4673 - [c34]Omar Erak, Hatem Abou-Zeid:
Accelerating and Compressing Deep Neural Networks for Massive MIMO CSI Feedback. ICC 2023: 1029-1035 - [c33]Fazal Muhammad Ali Khan, Hatem Abou-Zeid, Syed Ali Hassan:
Model Pruning for Efficient Over-the-Air Federated Learning in Tactical Networks. ICC Workshops 2023: 1806-1811 - [c32]Nader Joojili, Alexis Amezaga Hechavarria, Omair Shafiq, Akram Bin Sediq, Peiliang Chang, Hatem Abou-Zeid:
Hybrid Wavelet Transform and Deep Stacking Ensemble Model for Network Traffic Prediction. ICMLA 2023: 1114-1119 - [c31]Brian Irvine, Eli Kinney-Lang, Elissa Maalouf, Maziyar Dowlatabadibazaz, Dion Kelly, Joanna RG. Keough, Adam Kirton, Hatem Abou-Zeid:
Channel Selection Improves Accuracy for Pediatric Users of Motor Imagery Brain-Computer Interfaces. SMC 2023: 1116-1123 - [c30]Alexis Amezaga Hechavarria, Nader Joojili, Ahmed Abdelmoaty, M. Omair Shafiq, Akram Bin Sediq, Mats Zachrison, Hatem Abou-Zeid:
Feature Engineering for Highly Irregular Network Traffic Prediction. VCC 2023: 80-85 - [i16]Omar Erak, Hatem Abou-Zeid:
Accelerating and Compressing Deep Neural Networks for Massive MIMO CSI Feedback. CoRR abs/2304.01914 (2023) - [i15]Elsayed Mohammed, Omar Mashaal, Hatem Abou-Zeid:
Using Early Exits for Fast Inference in Automatic Modulation Classification. CoRR abs/2308.11100 (2023) - [i14]Ahmad M. Nagib, Hatem Abou-Zeid, Hossam S. Hassanein:
How Does Forecasting Affect the Convergence of DRL Techniques in O-RAN Slicing? CoRR abs/2309.00489 (2023) - [i13]Ahmad M. Nagib, Hatem Abou-Zeid, Hossam S. Hassanein:
Safe and Accelerated Deep Reinforcement Learning-based O-RAN Slicing: A Hybrid Transfer Learning Approach. CoRR abs/2309.07265 (2023) - 2022
- [j17]Anirudha Jitani, Aditya Mahajan, Zhongwen Zhu, Hatem Abou-Zeid, Emmanuel Thepie Fapi, Hakimeh Purmehdi:
Structure-Aware Reinforcement Learning for Node-Overload Protection in Mobile Edge Computing. IEEE Trans. Cogn. Commun. Netw. 8(4): 1881-1897 (2022) - [j16]Fahime Khoramnejad, Roghayeh Joda, Akram Bin Sediq, Hatem Abou-Zeid, Ramy Atawia, Gary Boudreau, Melike Erol-Kantarci:
Delay-Aware and Energy-Efficient Carrier Aggregation in 5G Using Double Deep Q-Networks. IEEE Trans. Commun. 70(10): 6615-6629 (2022) - [j15]Juncheng Wang, Min Dong, Ben Liang, Gary Boudreau, Hatem Abou-zeid:
Distributed Coordinated Precoding for MIMO Cellular Network Virtualization. IEEE Trans. Wirel. Commun. 21(1): 106-120 (2022) - [j14]Juncheng Wang, Ben Liang, Min Dong, Gary Boudreau, Hatem Abou-Zeid:
Online Distributed Coordinated Precoding for Virtualized MIMO Networks With Delayed CSI. IEEE Wirel. Commun. Lett. 11(5): 1012-1016 (2022) - [c29]Mariam Elsayem, Hatem Abou-Zeid, Ali Afana, Sidney Givigi:
Reinforcement Learning-based Dynamic Resource Allocation For Grant-Free Access. GLOBECOM 2022: 1091-1096 - [c28]Yoga Suhas Kuruba Manjunath, Sihao Zhao, Hatem Abou-zeid, Akram Bin Sediq, Ramy Atawia, Xiao-Ping Zhang:
Segmented Learning for Class-of-Service Network Traffic Classification. GLOBECOM 2022: 6115-6120 - [c27]Khaled Kord, Ahmed Elbery, Sameh Sorour, Hossam S. Hassanein, Akram Bin Sediq, Ali Afana, Hatem Abou-Zeid:
Enhanced C-V2X Uplink Resource Allocation using Vehicle Maneuver Prediction. ICC 2022: 3544-3549 - [c26]Juncheng Wang, Ben Liang, Min Dong, Gary Boudreau, Hatem Abou-Zeid:
Semi-Online Precoding with Information Parsing for Cooperative MIMO Wireless Networks. INFOCOM 2022: 150-159 - [c25]Juncheng Wang, Min Dong, Ben Liang, Gary Boudreau, Hatem Abou-zeid:
Online Model Updating with Analog Aggregation in Wireless Edge Learning. INFOCOM 2022: 1229-1238 - [i12]Juncheng Wang, Ben Liang, Min Dong, Gary Boudreau, Hatem Abou-zeid:
Online Distributed Coordinated Precoding for Virtualized MIMO Networks with Delayed CSI. CoRR abs/2201.07421 (2022) - [i11]Ahmad M. Nagib, Hatem Abou-zeid, Hossam S. Hassanein:
Toward Safe and Accelerated Deep Reinforcement Learning for Next-Generation Wireless Networks. CoRR abs/2209.13532 (2022) - [i10]Roghayeh Joda, Medhat H. M. Elsayed, Hatem Abou-zeid, Ramy Atawia, Akram Bin Sediq, Gary Boudreau, Melike Erol-Kantarci, Lajos Hanzo:
The Internet of Senses: Building on Semantic Communications and Edge Intelligence. CoRR abs/2212.10748 (2022) - 2021
- [j13]Roghayeh Joda, Medhat H. M. Elsayed, Hatem Abou-Zeid, Ramy Atawia, Akram Bin Sediq, Gary Boudreau, Melike Erol-Kantarci:
Carrier Aggregation With Optimized UE Power Consumption in 5G. IEEE Netw. Lett. 3(2): 61-65 (2021) - [j12]Yanan Liu, Xianbin Wang, Jie Mei, Gary Boudreau, Hatem Abou-zeid, Akram Bin Sediq:
Situation-Aware Resource Allocation for Multi-Dimensional Intelligent Multiple Access: A Proactive Deep Learning Framework. IEEE J. Sel. Areas Commun. 39(1): 116-130 (2021) - [j11]Jie Mei, Xianbin Wang, Kan Zheng, Gary Boudreau, Akram Bin Sediq, Hatem Abou-Zeid:
Intelligent Radio Access Network Slicing for Service Provisioning in 6G: A Hierarchical Deep Reinforcement Learning Approach. IEEE Trans. Commun. 69(9): 6063-6078 (2021) - [j10]Yanan Liu, Xianbin Wang, Gary Boudreau, Akram Bin Sediq, Hatem Abou-zeid:
A Multi-Dimensional Intelligent Multiple Access Technique for 5G Beyond and 6G Wireless Networks. IEEE Trans. Wirel. Commun. 20(2): 1308-1320 (2021) - [c24]Ahmed Elbery, Sameh Sorour, Hossam S. Hassanein, Akram Bin Sediq, Hatem Abou-zeid:
To DSRC or 5G? A Safety Analysis for Connected and Autonomous Vehicles. GLOBECOM 2021: 1-6 - [c23]Medhat H. M. Elsayed, Roghayeh Joda, Hatem Abou-Zeid, Ramy Atawia, Akram Bin Sediq, Gary Boudreau, Melike Erol-Kantarci:
Reinforcement Learning Based Energy-Efficient Component Carrier Activation-Deactivation in 5G. GLOBECOM 2021: 1-6 - [c22]Sihao Zhao, Hatem Abou-zeid, Ramy Atawia, Yoga Suhas Kuruba Manjunath, Akram Bin Sediq, Xiao-Ping Zhang:
Virtual Reality Gaming on the Cloud: A Reality Check. GLOBECOM 2021: 1-6 - [c21]Ahmed Elbery, Hossam S. Hassanein, Hatem Abou-zeid, Akram Bin Sediq, Gary Boudreau:
Optimum Routing and Slot Formatting in UAV-Assisted 5G Networks. ICC 2021: 1-6 - [c20]Anirudha Jitani, Aditya Mahajan, Zhongwen Zhu, Hatem Abou-Zeid, Emmanuel Thepie Fapi, Hakimeh Purmehdi:
Structure-aware reinforcement learning for node-overload protection in mobile edge computing. ICC 2021: 1-6 - [c19]Roghayeh Joda, Medhat H. M. Elsayed, Hatem Abou-Zeid, Ramy Atawia, Akram Bin Sediq, Gary Boudreau, Melike Erol-Kantarci:
QoS-Aware Joint Component Carrier Selection and Resource Allocation for Carrier Aggregation in 5G. ICC 2021: 1-6 - [c18]Ahmad M. Nagib, Hatem Abou-Zeid, Hossam S. Hassanein, Akram Bin Sediq, Gary Boudreau:
Deep Learning-Based Forecasting of Cellular Network Utilization at Millisecond Resolutions. ICC 2021: 1-6 - [c17]Juncheng Wang, Ben Liang, Min Dong, Gary Boudreau, Hatem Abou-zeid:
Delay-Tolerant Constrained OCO with Application to Network Resource Allocation. INFOCOM 2021: 1-10 - [c16]Ahmad M. Nagib, Hatem Abou-Zeid, Hossam S. Hassanein:
Transfer Learning-Based Accelerated Deep Reinforcement Learning for 5G RAN Slicing. LCN 2021: 249-256 - [i9]Juncheng Wang, Min Dong, Ben Liang, Gary Boudreau, Hatem Abou-zeid:
Distributed coordinated precoding for MIMO cellular network virtualization. CoRR abs/2104.04615 (2021) - [i8]Juncheng Wang, Ben Liang, Min Dong, Gary Boudreau, Hatem Abou-zeid:
Delay-Tolerant Constrained OCO with Application to Network Resource Allocation. CoRR abs/2105.04005 (2021) - [i7]Juncheng Wang, Ben Liang, Min Dong, Gary Boudreau, Hatem Abou-zeid:
Hierarchical Online Convex Optimization with Application to Multi-TRP Cooperative Networks. CoRR abs/2106.13853 (2021) - [i6]Anirudha Jitani, Aditya Mahajan, Zhongwen Zhu, Hatem Abou-zeid, Emmanuel Thepie Fapi, Hakimeh Purmehdi:
Structure-aware reinforcement learning for node-overload protection in mobile edge computing. CoRR abs/2107.01025 (2021) - [i5]Sihao Zhao, Hatem Abou-zeid, Ramy Atawia, Yoga Suhas Kuruba Manjunath, Akram Bin Sediq, Xiao-Ping Zhang:
Virtual Reality Gaming on the Cloud: A Reality Check. CoRR abs/2109.10114 (2021) - 2020
- [j9]Basma Mahdy, Hazem M. Abbas, Hossam S. Hassanein, Aboelmagd Noureldin, Hatem Abou-zeid:
A Clustering-Driven Approach to Predict the Traffic Load of Mobile Networks for the Analysis of Base Stations Deployment. J. Sens. Actuator Networks 9(4): 53 (2020) - [j8]Yanan Liu, Xianbin Wang, Gary Boudreau, Akram Bin Sediq, Hatem Abou-zeid:
Deep Learning Based Hotspot Prediction and Beam Management for Adaptive Virtual Small Cell in 5G Networks. IEEE Trans. Emerg. Top. Comput. Intell. 4: 83-94 (2020) - [c15]Habiba Elsherbiny, Hazem M. Abbas, Hatem Abou-zeid, Hossam S. Hassanein, Aboelmagd Noureldin:
4G LTE Network Throughput Modelling and Prediction. GLOBECOM 2020: 1-6 - [c14]Habiba Elsherbiny, Ahmad M. Nagib, Hatem Abou-zeid, Hazem M. Abbas, Hossam S. Hassanein, Aboelmagd Noureldin, Akram Bin Sediq, Gary Boudreau:
4G LTE Network Data Collection and Analysis along Public Transportation Routes. GLOBECOM 2020: 1-6
2010 – 2019
- 2019
- [j7]Hatem Abou-zeid, Farhan Pervez, Abdulkareem Adinoyi, Mohammed Aljlayl, Halim Yanikomeroglu:
Cellular V2X Transmission for Connected and Autonomous Vehicles Standardization, Applications, and Enabling Technologies. IEEE Consumer Electron. Mag. 8(6): 91-98 (2019) - [c13]Ramy Atawia, Hatem Abou-zeid, Hossam S. Hassanein, Aboelmagd Noureldin:
Toward Practical Anticipatory Video Delivery for the Internet-of-Vehicles. GLOBECOM 2019: 1-6 - [c12]Yuyan Zhao, Yanan Liu, Gary Boudreau, Akram Bin Sediq, Hatem Abou-zeid, Xianbin Wang:
A Two-Step Neural Network Based Beamforming in MIMO without Reference Signal. GLOBECOM 2019: 1-6 - 2017
- [j6]Ramy Atawia, Hossam S. Hassanein, Hatem Abou-zeid, Aboelmagd Noureldin:
Robust Content Delivery and Uncertainty Tracking in Predictive Wireless Networks. IEEE Trans. Wirel. Commun. 16(4): 2327-2339 (2017) - 2016
- [j5]Ramy Atawia, Hatem Abou-zeid, Hossam S. Hassanein, Aboelmagd Noureldin:
Joint Chance-Constrained Predictive Resource Allocation for Energy-Efficient Video Streaming. IEEE J. Sel. Areas Commun. 34(5): 1389-1404 (2016) - 2015
- [j4]Hatem Abou-zeid, Hossam S. Hassanein, Stefan Valentin, Mohamed Fathy Feteiha:
A lookback scheduling framework for long-term quality of service over multiple cells. Wirel. Commun. Mob. Comput. 15(6): 1037-1048 (2015) - [c11]Ramy Atawia, Hatem Abou-zeid, Hossam S. Hassanein, Aboelmagd Noureldin:
Chance-constrained QoS satisfaction for predictive video streaming. LCN 2015: 253-260 - [c10]Mary Riad, Hatem Abou-zeid, Hossam S. Hassanein, Mazhar Tayel, Ashraf A. Taha:
A channel variation-aware algorithm for enhanced video streaming quality. LCN Workshops 2015: 893-898 - [c9]Hatem Abou-zeid, Hossam S. Hassanein, Zohaib Tanveer, Najah AbuAli:
Evaluating mobile signal and location predictability along public transportation routes. WCNC 2015: 1195-1200 - 2014
- [j3]Hatem Abou-zeid, Hossam S. Hassanein, Stefan Valentin:
Energy-Efficient Adaptive Video Transmission: Exploiting Rate Predictions in Wireless Networks. IEEE Trans. Veh. Technol. 63(5): 2013-2026 (2014) - [j2]Hatem Abou-zeid, Hossam S. Hassanein:
Toward green media delivery: location-aware opportunities and approaches. IEEE Wirel. Commun. 21(4): 38-46 (2014) - [c8]Hatem Abou-zeid, Hossam S. Hassanein, Nizar Zorba:
Enhancing mobile video streaming by lookahead rate allocation in wireless networks. CCNC 2014: 471-476 - [c7]Ramy Atawia, Hatem Abou-zeid, Hossam S. Hassanein, Aboelmagd Noureldin:
Robust resource allocation for predictive video streaming under channel uncertainty. GLOBECOM 2014: 4683-4688 - [c6]Mahmoud H. Qutqut, Hatem Abou-zeid, Hossam S. Hassanein, Abdulmonem M. Rashwan, Fadi M. Al-Turjman:
Dynamic small cell placement strategies for LTE Heterogeneous Networks. ISCC 2014: 1-6 - [c5]Hatem Abou-zeid, Hossam S. Hassanein, Ramy Atawia:
Towards mobility-aware predictive radio access: modeling; simulation; and evaluation in LTE networks. MSWiM 2014: 109-116 - [c4]Hatem Abou-zeid, Hossam S. Hassanein:
Efficient lookahead resource allocation for stored video delivery in multi-cell networks. WCNC 2014: 1909-1914 - [c3]Sherin Abdel Hamid, Hatem Abou-zeid, Hossam S. Hassanein, Glen Takahara:
Optimal recruitment of smart vehicles for reputation-aware public sensing. WCNC 2014: 3160-3165 - [i4]Hatem Abou-zeid, Hossam S. Hassanein:
Predictive Green Wireless Access: Exploiting Mobility and Application Information. CoRR abs/1401.7717 (2014) - [i3]Hatem Abou-zeid, Hossam S. Hassanein, Stefan Valentin:
Energy-Efficient Adaptive Video Transmission: Exploiting Rate Predictions in Wireless Networks. CoRR abs/1403.8055 (2014) - [i2]Hatem Abou-zeid, Hossam S. Hassanein, Stefan Valentin, Mohamed Fathy Feteiha:
A Lookback Scheduling Framework for Long-Term Quality-of-Service Over Multiple Cells. CoRR abs/1405.1155 (2014) - [i1]Hatem Abou-zeid, Hossam S. Hassanein:
Toward Green Media Delivery: Location-Aware Opportunities and Approaches. CoRR abs/1409.1148 (2014) - 2013
- [j1]Hatem Abou-zeid, Hossam S. Hassanein:
Predictive green wireless access: exploiting mobility and application information. IEEE Wirel. Commun. 20(5): 92-99 (2013) - [c2]Hatem Abou-zeid, Hossam S. Hassanein, Stefan Valentin, Mohamed Fathy Feteiha:
Lookback scheduling for long-term Quality-of-Service over multiple cells. IWCMC 2013: 515-520 - 2012
- [c1]Hatem Abou-zeid, Stefan Valentin, Hossam S. Hassanein:
Long-term proportional fairness over multiple cells. LCN Workshops 2012: 807-813
Coauthor Index
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