| Spatial signal strength prediction using 3D maps and deep learning E Krijestorac, S Hanna, D Cabric ICC 2021-IEEE international conference on communications, 1-6, 2021 | 40 | 2021 |
| Penetrating RF fingerprinting-based authentication with a generative adversarial attack S Karunaratne, E Krijestorac, D Cabric ICC 2021-IEEE International Conference on Communications, 1-6, 2021 | 34 | 2021 |
| UAV swarm position optimization for high capacity MIMO backhaul S Hanna, E Krijestorac, D Cabric IEEE Journal on Selected Areas in Communications 39 (10), 3006-3021, 2021 | 17 | 2021 |
| Destination-feedback free distributed transmit beamforming using guided directionality S Hanna, E Krijestorac, D Cabric IEEE Transactions on Mobile Computing 22 (10), 5858-5869, 2022 | 16* | 2022 |
| Uav access point placement for connectivity to a user with unknown location using deep rl E Krijestorac, S Hanna, D Cabric 2019 IEEE Globecom Workshops (GC Wkshps), 1-6, 2019 | 16 | 2019 |
| Hybrid vehicular and cloud distributed computing: A case for cooperative perception E Krijestorac, A Memedi, T Higuchi, S Ucar, O Altintas, D Cabric GLOBECOM 2020-2020 IEEE Global Communications Conference, 1-6, 2020 | 14 | 2020 |
| UAV swarms as amplify-and-forward MIMO relays S Hanna, E Krijestorac, H Yan, D Cabric 2019 IEEE 20th international workshop on signal processing advances in …, 2019 | 13 | 2019 |
| Agile radio map prediction using deep learning E Krijestorac, H Sallouha, S Sarkar, D Cabric ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 6 | 2023 |
| REM-U-Net: Deep Learning Based Agile REM Prediction with Energy-Efficient Cell-Free Use Case H Sallouha, S Sarkar, E Krijestorac, D Cabric IEEE Open Journal of Signal Processing, 2024 | 4 | 2024 |
| Gan-rxa: A practical scalable solution to receiver-agnostic transmitter fingerprinting T Zhao, S Sarkar, E Krijestorac, D Cabric IEEE Transactions on Cognitive Communications and Networking, 2023 | 4 | 2023 |
| Band assignment in ultra-narrowband (UNB) systems for massive IoT access E Krijestorac, G Hattab, P Popovskit, D Cabric GLOBECOM 2020-2020 IEEE Global Communications Conference, 1-6, 2020 | 3 | 2020 |
| Machine Learning Assisted Computationally Efficient Target Detection and Tracking in Massive Fully Digital Phased Arrays E Krijestorac, R Li, D Cabric, J McGraw, P Powers, J Vitaz, M Salpukas, ... IEEE Transactions on Radar Systems, 2023 | 1 | 2023 |
| Systems and methods for vehicular-network-assisted federated machine learning S Ucar, T Higuchi, CH Wang, E Krijestorac, O Altintas US Patent App. 17/168,406, 2022 | 1 | 2022 |
| Multiband Massive IoT: A Learning Approach to Infrastructure Deployment E Krijestorac, G Hattab, P Popovski, D Cabric IEEE Transactions on Wireless Communications 21 (12), 10300-10314, 2022 | 1 | 2022 |
| Systems and methods to regulate joining and leaving a vehicular micro cloud S Ucar, T Higuchi, CH Wang, E Krijestorac, O Altintas US Patent 11,935,310, 2024 | | 2024 |
| Cooperative Channel Sensing, Relaying and Computing in UAV and Vehicular Networks E Krijestorac UCLA, 2024 | | 2024 |
| Deep Learning Based Active Spatial Channel Gain Prediction Using a Swarm of Unmanned Aerial Vehicles E Krijestorac, D Cabric arXiv preprint arXiv:2310.04547, 2023 | | 2023 |
| Base Station Placement and Frequency Assignment in Multiband Ultra-Narrowband Systems for Massive IoT Access E Krijestorac University of California, Los Angeles, 2021 | | 2021 |
| OFDM Receiver Design With Learning-Driven Automatic Modulation Recognition.......................................................... Li Ping Qian, Chenxi Wang, Qian Wang … S Basak, S Rajendran, S Pollin, B Scheers, FS Liang, S Lu, YL Ueng, ... | | |
| Reconfigurable Intelligent Surface-Aided Cognitive NOMA Networks: Performance Analysis and Deep Learning Evaluation........................ Thai-Hoc Vu, Toan-Van Nguyen, Daniel … E Krijestorac, G Hattab, P Popovski, D Cabric, Y Cai, Z Wei, S Hu, C Liu, ... | | |
