Almuthanna T. Nassar - researchr alias

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Viewing Publication 1 - 6 from 6

2022

Deep Reinforcement Learning for Adaptive Network Slicing in 5G for Intelligent Vehicular Systems and Smart CitiesAlmuthanna T. Nassar, Yasin Yilmaz. iotj, 9(1):222-235, 2022. [doi]

2021

Adaptive Network Slicing in Fog RAN for IoT with Heterogeneous Latency and Computing Requirements: A Deep Reinforcement Learning ApproachAlmuthanna T. Nassar. PhD thesis, University of South Florida, Tampa, USA, 2021. [doi]

2019

Dynamic Network Slicing for Fog Radio Access NetworksAlmuthanna T. Nassar, Yasin Yilmaz. globalsip 2019: 1-5 [doi]

Resource Allocation in Fog RAN for Heterogeneous IoT Environments Based on Reinforcement LearningAlmuthanna T. Nassar, Yasin Yilmaz. icc 2019: 1-6 [doi]

Reinforcement Learning for Adaptive Resource Allocation in Fog RAN for IoT With Heterogeneous Latency RequirementsAlmuthanna T. Nassar, Yasin Yilmaz. access, 7:128014-128025, 2019. [doi]

2014

Radio propagation path loss models for 5G cellular networks in the 28 GHZ and 38 GHZ millimeter-wave bandsAhmed Iyanda Sulyman, Almuthanna T. Nassar, Mathew K. Samimi, George R. MacCartney, Theodore S. Rappaport, Abdulhameed Alsanie. cm, 52(9):78-86, 2014. [doi]

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