| 2019 Index IEEE Vehicular Technology Magazine Vol. 14 A Al-Dweik, Y Al-Eryani, B Almeroth, M Alouini, Z Altman, M Angelopoulos, ... IEEE Vehicular Technology Magazine, 2019 | | 2019 |
| A chance constrained approach for LTE cellular network planning under uncertainty U Challita, Z Dawy, G Turkiyyah, J Naoum-Sawaya Computer Communications 73, 34-45, 2016 | 14 | 2016 |
| Artificial intelligence for wireless connectivity and security of cellular-connected UAVs U Challita, A Ferdowsi, M Chen, W Saad arXiv preprint arXiv:1804.05348, 2018 | 27 | 2018 |
| Artificial neural networks-based machine learning for wireless networks: A tutorial M Chen, U Challita, W Saad, C Yin, M Debbah IEEE Communications Surveys & Tutorials 21 (4), 3039-3071, 2019 | 982 | 2019 |
| Cellular-connected UAVs over 5G: Deep reinforcement learning for interference management U Challita, W Saad, C Bettstetter arXiv preprint arXiv:1801.05500, 2018 | 86 | 2018 |
| Communication of measurement results in coordinated multipoint V Yajnanarayana, A Palaios, U Challita US Patent 11,956,031, 2024 | | 2024 |
| Data collection in defined network operating conditions in radio access networks U Challita, P Batista, EL de Medeiros US Patent App. 17/632,635, 2022 | 1 | 2022 |
| DATA SCIENCE AND ARTIFICIAL INTELLIGENCE U Challita, H Ryden, H Tullberg, C Fiandrino, C Zhang, P Patras, ... IEEE Communications Magazine, 2, 2020 | | 2020 |
| Deep learning for proactive resource allocation in LTE-U networks U Challita, L Dong, W Saad European wireless technology conference, 2017 | 45 | 2017 |
| Deep learning for reliable mobile edge analytics in intelligent transportation systems: An overview A Ferdowsi, U Challita, W Saad ieee vehicular technology magazine 14 (1), 62-70, 2019 | 204 | 2019 |
| Deep reinforcement learning for dynamic spectrum sharing of LTE and NR U Challita, D Sandberg ICC 2021-IEEE International Conference on Communications, 1-6, 2021 | 20 | 2021 |
| Deep reinforcement learning for interference-aware path planning of cellular-connected UAVs U Challita, W Saad, C Bettstetter 2018 IEEE international conference on communications (ICC), 1-7, 2018 | 153 | 2018 |
| Determining Location Information About a Drone U Challita, H Rydén, S Bin Redhwan US Patent App. 17/907,892, 2023 | | 2023 |
| Distributed algorithms for optimized resource management of LTE in unlicensed spectrum and UAV-enabled wireless networks U Challita The University of Edinburgh, 2018 | | 2018 |
| Dynamic spectrum sharing based on machine learning U Challita, D Sandberg, T Kvernvik US Patent App. 17/928,060, 2023 | | 2023 |
| Enhancing RAN Performance with AI FD Calabrese, P Frank, E Ghadimi, U Challita, P Soldati https://www.ericsson.com/en/reports-and-papers/ericsson-technology-review …, 2020 | 8 | 2020 |
| FOURTH QUARTER 2019 VOLUME 21 NUMBER 4 ICSTCF (ISSN 1553-877X) M Amjad, L Musavian, MH Rehmani, M Chen, U Challita, W Saad, C Yin, ... | | |
| Geometric Sequential Learning Dynamics WH Lee, M Ozger, U Challita IEEE Communications Letters 25 (2), 542-545, 2020 | | 2020 |
| Guest Editorial: Communication Technologies for Robotics and Autonomous Systems SAR Zaidi, J Lee, U Challita, MZ Win IEEE Communications Magazine 59 (1), 14-15, 2021 | 1 | 2021 |
| Holistic Small Cell Traffic Balancing across Licensed and Unlicensed Bands U Challita, MK Marina Proceedings of the 19th ACM International Conference on Modeling, Analysis …, 2016 | 13 | 2016 |
Walid SaadProfessor, Electrical and Computer Engineering, Virginia Tech在 vt.edu 的电子邮件经过验证
