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 …

As wireless standards evolve, more complex functionalities are introduced to address the
increasing requirements in terms of throughput, latency, security, and efficiency. To unleash …

Recently, hybrid band communications have received much attention to fulfil the
exponentially growing user demands in next-generation communication networks. Still …

Spatial reuse is an important factor in building highly efficient wireless local area networks.
The key to maximizing spatial reuse is to support concurrent transmissions while avoiding …

Next-generation Wi-Fi networks are looking forward to introducing new features like multi-
link operation (MLO) to both achieve higher throughput and lower latency. However, given …

We consider a minimum span channel allocation problem (MS-CAP) to overcome spectrum
scarcity and facilitate the efficiency of unmanned aerial vehicle (UAV)-enabled wireless …

Dynamic Channel Bonding (DCB) is a channel access scheme of Channel Bonding (CB) in
IEEE 802.11 n/ac Wireless Local Area Network (WLAN) that allows devices to dynamically …

This paper investigates a deep reinforcement learning algorithm based on dueling deep
recurrent Q‐network (Dueling DRQN) for dynamic multichannel access in heterogeneous …

This paper presents a decentralized Deep Reinforcement Learning (DRL)-based dynamic
channel bonding (DCB) algorithm (ie, drlDCB) for Wi-Fi networks. Most existing RL-based …

This paper presents Deep Reinforcement Learning (DRL)-based channel allocation
algorithms for Wi-Fi networks with channel bonding capability. In particular, the proposed …