By the wide development of wireless communication technology, mobile networks are
becoming the promising paradigm for mobile users to access the Internet to download …

In order to meet the dramatic wireless bandwidth demands of emerging multimedia
applications, cognitive radio has been proposed as one of promising solutions to improve …

Abstract In recent years, Industrial Internet of Things (IIoT) has attracted growing attention
from both academia and industry. Meanwhile, when traditional wireless sensor networks are …

Ubiquitous wireless networking calls for efficient dynamic spectrum allocation (DSA) among
heterogeneous users with diverse transmission types and bandwidth demands. To meet …

To solve the problem of spectrum scarcity and spectrum under-utilization in wireless
networks, we propose a double deep Q-network based reinforcement learning algorithm for …

With the rapid development of wireless communication technology, the low utilization of
spectrum resources and the high demand for spectrum have always been an urgent and …

In cognitive radio networks, an important issue is to share the detected available spectrum
among different secondary users to improve the network performance. Although some work …

The optimal spectrum access strategy is investigated for multi-user multi-channel scenario in
cognitive radio networks. At first, an online learning method based on Dirichlet Process is …

Ubiquitous wireless networking calls for efficient dynamic spectrum allocation (DSA) among
heterogeneous users with diverse transmission types and bandwidth demands. To meet …

This paper studies the auction-driven dynamic spectrum access in cognitive radio networks
with heterogeneous secondary users, who have different risk attitudes. First, a game …