To cope up with drastically increasing demand for radio resources lead to raise a challenge
to the wireless community. The limited radio spectrum and fixed spectrum allocation strategy …

The allocation of spectrum resources efficiently and equitably in dynamic cognitive vehicular
networks is more challenging than static cognitive networks. Currently, most spectrum …

Making effective use of scarce spectrum resources, along with efficient computational
performance, is one of the key challenges for future wireless networks. To tackle this issue …

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 …

In this paper, we propose to use deep reinforcement learning (DRL) for the task of
cooperative spectrum sensing (CSS) in a cognitive radio network. We selected a recently …

With the increasing complexity of wireless networks and the increasing shortage of spectrum
resources, a novel dynamic spectrum access (DSA) solution is urgently needed. For …

Current cutting-edge solutions to the spectrum shortage problem are unable to meet the
growing demand for a limited spectrum. A key dimension beyond state-of-the-art solutions is …

Abstract Internet of Vehicles (IoV) is regarded as an emerging concept for intelligent
transportation cyber-physical systems. Due to the limited number of channels available in …