Radio propagation path loss models for 5G cellular networks in the 28 GHz and 38 GHz millimeter-wave bands AI Sulyman, AMT Nassar, MK Samimi, GR MacCartney, TS Rappaport, ... IEEE Communications Magazine 52 (9), 78-86, 2014 | 635 | 2014 |
Reinforcement Learning for Adaptive Resource Allocation in Fog RAN for IoT with Heterogeneous Latency Requirements A Nassar, Y Yilmaz IEEE Access, 2019 | 86* | 2019 |
Deep reinforcement learning for adaptive network slicing in 5G for intelligent vehicular systems and smart cities A Nassar, Y Yilmaz IEEE Internet of Things Journal, 2021 | 64 | 2021 |
Radio capacity estimation for millimeter wave 5G cellular networks using narrow beamwidth antennas at the base stations AMT Nassar, AI Sulyman, A Alsanie International Journal of Antennas and Propagation 2015, 2015 | 24 | 2015 |
Resource Allocation in Fog RAN for Heterogeneous IoT Environments Based on Reinforcement Learning A Nassar, Y Yilmaz ICC 2019-2019 IEEE International Conference on Communications (ICC), 1-6, 2019 | 23 | 2019 |
Achievable RF coverage and system capacity using millimeter wave cellular technologies in 5G networks AMT Nassar, AI Sulyman, A Alsanie 2014 IEEE 27th Canadian Conference on Electrical and Computer Engineering …, 2014 | 21 | 2014 |
Dynamic Network Slicing for Fog Radio Access Networks A Nassar, Y Yilmaz 7th IEEE Global Conference on Signal and Information Processing (GlobalSIP 2019), 2019 | 2 | 2019 |