| Deep Reinforcement Learning for 5G Networks: Joint Beamforming, Power Control, and Interference Coordination FB Mismar, BL Evans, A Alkhateeb IEEE Transactions on Communications 68 (3), 1581-1592, 2020 | 252 | 2020 |
| Deep Reinforcement Learning for Intelligent Reflecting Surfaces: Towards Standalone Operation A Taha, Y Zhang, FB Mismar, A Alkhateeb IEEE 21st International Workshop on Signal Processing Advances in Wireless …, 2020 | 161 | 2020 |
| Partially Blind Handovers for mmWave New Radio Aided by Sub-6 GHz LTE Signaling FB Mismar, BL Evans IEEE International Conference on Communications Workshop on Evolutional Tech …, 2018 | 57* | 2018 |
| Deep Q-Learning for Self-Organizing Networks Fault Management and Radio Performance Improvement FB Mismar, BL Evans 2018 52nd Asilomar Conference on Signals, Systems, and Computers, 2018 | 40 | 2018 |
| A Framework for Automated Cellular Network Tuning with Reinforcement Learning FB Mismar, J Choi, BL Evans IEEE Transactions on Communications 67 (10), 7152-7167, 2019 | 38 | 2019 |
| Deep Learning in Downlink Coordinated Multipoint in New Radio Heterogeneous Networks FB Mismar, BL Evans IEEE Wireless Communications Letters 8 (4), 1040-1043, 2019 | 33 | 2019 |
| Deep Learning Predictive Band Switching in Wireless Networks FB Mismar, A AlAmmouri, A Alkhateeb, JG Andrews, BL Evans IEEE Transactions on Wireless Communications 20 (1), 96-109, 2021 | 32 | 2021 |
| Q-Learning Algorithm for VoLTE Closed-Loop Power Control in Indoor Small Cells FB Mismar, BL Evans 2018 52nd Asilomar Conference on Signals, Systems, and Computers, 2018 | 16 | 2018 |
| Unsupervised Learning in Next-Generation Networks: Real-Time Performance Self-Diagnosis FB Mismar, J Hoydis IEEE Communications Letters 25 (10), 3330-3334, 2021 | 15 | 2021 |
| Access node, control node, and various methods for adapting a reporting period for a user equipment F Mismar, S Nammi US Patent 9,762,456, 2016 | 12 | 2016 |
| Machine learning in downlink coordinated multipoint in heterogeneous networks FB Mismar, BL Evans arXiv preprint arXiv:1608.08306, 2016 | 8 | 2016 |
| A Quick Primer on Machine Learning in Wireless Communications FB Mismar arXiv:2312.17713, 2023 | 3 | 2023 |
| Deep Learning for Multi-User Proactive Beam Handoff: A 6G Application FB Mismar, A Gundogan, AO Kaya, O Chistyakov IEEE Access 11, 46271-46282, 2023 | 3 | 2023 |
| Intermodulation Interference Detection in 6G Networks: A Machine Learning Approach FB Mismar 95th IEEE Vehicular Technology Conference Workshops VTC2022-Spring, Invited …, 2022 | 3 | 2022 |
| Improving Next-Generation Wireless Network Performance and Reliability with Deep Learning FB Mismar The University of Texas at Austin, 2019 | 3 | 2019 |
| Method to transmit signaling radio bearer messages in multi antenna wireless communication system S Nammi, F Mismar US Patent 9,883,528, 2016 | 3 | 2016 |
| Event-based performance monitoring for inter-system cell reselection: A SON enabler I da Silva, Y Wang, FB Mismar, W Su 2012 International Symposium on Wireless Communication Systems (ISWCS), 6-10, 2012 | 2 | 2012 |
| Uncoordinated Interference Avoidance Between Terrestrial and Non-Terrestrial Communications FB Mismar, AO Kaya IEEE International Conference on Communications 2024, 1243-1248, 2024 | 1 | 2024 |
| Apparatus, Method, and Computer Program F Mismar, K Aliye US Patent App. 18/630,126, 2024 | | 2024 |
| Adaptive Compression of Massive MIMO Channel State Information with Deep Learning FB Mismar, AÖ Kaya IEEE Networking Letters, early access, 2024 | | 2024 |
Brian L. EvansEngineering Foundation Professor, ECE, WNCG, University of Texas at AustinVerified email at ece.utexas.edu
