2 papers
cs.NI2020
Deep Reinforcement Learning for Adaptive Network Slicing in 5G for Intelligent Vehicular Systems and Smart Cities
Almuthanna Nassar, Yasin Yilmaz
Intelligent vehicular systems and smart city applications are the fastest growing Internet of things (IoT) implementations at a compound annual growth rate of 30%. In view of the r…
cs.NI2018
Reinforcement Learning-based Resource Allocation in Fog RAN for IoT with Heterogeneous Latency Requirements
Almuthanna T. Nassar, Yasin Yilmaz
In light of the quick proliferation of Internet of things (IoT) devices and applications, fog radio access network (Fog-RAN) has been recently proposed for fifth generation (5G) wi…