IEEE

Deep Reinforcement Learning-Driven Dynamic Spectrum Access in Dense Wi-Fi Environments

Abstract: The rapid growth of wireless devices and bandwidth-intensive applications in urban environments has exacerbated spectrum congestion in Wi-Fi networks, resulting in performance degradation in ...
IEEE

DRL-ABS: Deep Reinforcement Learning-Based Adaptive Buffer Sizing for Edge Routers in AIoT Networks

Abstract: The proliferation of edge Internet of Things (IoT) devices intensifies congestion challenges in edge IoT networks. Adjusting edge router buffer sizes is a common and effective solution to ...