| A physical channel model for nanoscale neuro-spike communications E Balevi, OB Akan IEEE Transactions on Communications 61 (3), 1178-1187, 2013 | 109 | 2013 |
| One-bit OFDM receivers via deep learning E Balevi, JG Andrews IEEE Transactions on Communications 67 (6), 4326-4336, 2019 | 87 | 2019 |
| Massive MIMO channel estimation with an untrained deep neural network E Balevi, A Doshi, JG Andrews IEEE Transactions on Wireless Communications 19 (3), 2079-2090, 2020 | 72 | 2020 |
| ALOHA-NOMA for massive machine-to-machine IoT communication E Balevi, FT Al Rabee, RD Gitlin 2018 IEEE International Conference on Communications (ICC), 1-5, 2018 | 61 | 2018 |
| Optimizing the number of fog nodes for cloud-fog-thing networks E Balevi, RD Gitlin IEEE Access 6, 11173-11183, 2018 | 53 | 2018 |
| Unsupervised machine learning in 5G networks for low latency communications E Balevi, RD Gitlin 2017 IEEE 36th International Performance Computing and Communications …, 2017 | 42 | 2017 |
| Enabling slotted Aloha-NOMA for massive M2M communication in IoT networks M Elkourdi, A Mazin, E Balevi, RD Gitlin 2018 IEEE 19th Wireless and Microwave Technology Conference (WAMICON), 1-4, 2018 | 32 | 2018 |
| Online antenna tuning in heterogeneous cellular networks with deep reinforcement learning E Balevi, JG Andrews IEEE Transactions on Cognitive Communications and Networking 5 (4), 1113-1124, 2019 | 30 | 2019 |
| High dimensional channel estimation using deep generative networks E Balevi, A Doshi, A Jalal, A Dimakis, JG Andrews IEEE Journal on Selected Areas in Communications 39 (1), 18-30, 2020 | 26 | 2020 |
| Deep learning-based channel estimation for high-dimensional signals E Balevi, JG Andrews arXiv preprint arXiv:1904.09346, 2019 | 25 | 2019 |
| A clustering algorithm that maximizes throughput in 5G heterogeneous F-RAN networks E Balevi, RD Gitlin 2018 IEEE International Conference on Communications (ICC), 1-6, 2018 | 25 | 2018 |
| Diversity and Network coded 5G fronthaul wireless networks for ultra reliable and low latency communications NI Sulieman, E Balevi, K Davaslioglu, RD Gitlin 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and …, 2017 | 20 | 2017 |
| Wideband channel estimation with a generative adversarial network E Balevi, JG Andrews IEEE Transactions on Wireless Communications 20 (5), 3049-3060, 2021 | 19 | 2021 |
| Autoencoder-based error correction coding for one-bit quantization E Balevi, JG Andrews IEEE Transactions on Communications 68 (6), 3440-3451, 2020 | 18 | 2020 |
| Pareto optimization for uplink NOMA power control E Balevi, RD Gitlin 2018 Wireless Telecommunications Symposium (WTS), 1-5, 2018 | 12 | 2018 |
| Two-stage learning for uplink channel estimation in one-bit massive MIMO E Balevi, JG Andrews 2019 53rd Asilomar Conference on Signals, Systems, and Computers, 1764-1768, 2019 | 11 | 2019 |
| Analysis of frequency domain oversampled MMSE SC-FDE E Balevi, AÖ Yιlmaz IEEE Communications Letters 20 (2), 232-235, 2015 | 10 | 2015 |
| Compressed representation of high dimensional channels using deep generative networks A Doshi, E Balevi, JG Andrews 2020 IEEE 21st International Workshop on Signal Processing Advances in …, 2020 | 8 | 2020 |
| Enabling Aloha-NOMA for massive M2M communication in IoT networks M Elkourdi, A Mazin, E Balevi, RD Gitlin arXiv preprint arXiv:1803.09513, 2018 | 8 | 2018 |
| A random access scheme for large scale 5G/IoT applications E Balevi, RD Gitlin 2018 IEEE 5G World Forum (5GWF), 452-456, 2018 | 7 | 2018 |
Jeffrey AndrewsCockrell Family Endowed Chair and Director of 6G@UT, University of Texas at AustinVerified email at ece.utexas.edu
