The provision of quality of service (QoS) is fundamental in cognitive radio ad hoc networks
(CRAHNs). Cognitive radio technology has emerged as a promising solution to the …

Cloud computing, mobility and the Internet of Things require more spectrum for data
transmission. Unfortunately, the spectrum is a scarce resource, which is underutilized by …

In this paper, we propose an efficient quality-of-service routing protocol in cognitive radio
mobile ad hoc networks (CR-MANETs), where a QoS route is formed by exploiting deep …

In this paper, we propose a novel deep reinforcement learning-based quality-of-service
routing (DQR) protocol to establish the best route with minimum end-to-end queuing delay …

To resolve the issue of efficient spectrum allocation, a precious resource in communication
systems, Cognitive Radio Adhoc Networks were proposed. Cognitive Radio Networks …

Cloud computing, mobility, and the Internet of Things (IoT) have created large data sets,
which require more spectrum for data transmission. Unfortunately, the spectrum is a scarce …

In this paper, we propose a novel deep reinforcement learning-based quality-of-service
(QoS) routing protocol, namely DRQR, exploiting cross-layer design to establish efficient …

Routing in cognitive radio ad-hoc network is one of the important aspects in wireless
communication. There are different routing protocols in cognitive ad-hoc network (CRAHN) …

In wireless networks, the spectrum scarcity problem is migrated to much extent by cognitive
radio network. Cognitive radio network has the capability to utilize the unutilized frequency …

The explosive growth in the use of real-time applications on mobile devices has resulted in
new challenges to the design of routing protocols for cognitive radio ad hoc networks …