The rate adaptation (RA) algorithm, which adaptively selects the rate according to the quality
of the wireless environment, is one of the cornerstones of the wireless systems. In Wi-Fi …

Future-generation wireless networks (5G and beyond) must accommodate surging growth in
mobile data traffic and support an increasingly high density of mobile users involving a …

Wireless local area networks (WLANs) empowered by IEEE 802.11 (Wi-Fi) hold a dominant
position in providing Internet access thanks to their freedom of deployment and configuration …

Recently, the concept of open radio access network (O-RAN) has been proposed, which
aims to adopt intelligence and openness in the next generation radio access networks …

As the demand for data-driven applications and emerging technologies such as extended
reality, autonomous vehicles, and the Internet of Things (IoT) continues to grow, the …

In order to better understand state-of-the-art reinforcement learning agent, deep Q-network,
a brief review of reinforcement learning and Q-learning are first described. Then recent …

To satisfy the increasing demand for wireless systems capacity, the industry is dramatically
increasing the density of the deployed networks. Like other wireless technologies, Wi-Fi is …

Sixth generation (6G) in-X subnetworks are recently proposed as short-range low-power
radio cells for supporting localized extreme wireless connectivity inside entities such as …

Reinforcement learning is an area of machine learning that studies how an intelligent agent
takes actions in a given environment to maximize the cumulative reward. In this paper, we …

Abstract The Deep Q-Network (DQN) is a method of deep reinforcement learning algorithm.
DQN is a deep neural network structure used for the estimation of Q value of the Q-learning …