Artificial-intelligence-based data analytics for cognitive communication in heterogeneous wireless networks
Rapidly growing wireless networks are facing spectrum shortages, so how to improve
spectrum utilization becomes critical. The rise of artificial intelligence (AI) technologies can …
spectrum utilization becomes critical. The rise of artificial intelligence (AI) technologies can …
A usage aware dynamic spectrum access scheme for interweave cognitive radio network by exploiting deep reinforcement learning
Future-generation wireless networks should accommodate surging growth in mobile data
traffic and support an increasingly high density of wireless devices. Consequently, as the …
traffic and support an increasingly high density of wireless devices. Consequently, as the …
Deep reinforcement learning for resource allocation with network slicing in cognitive radio network
S Yuan, Y Zhang, W Qie, T Ma, S Li - Computer Science and …, 2021 - doiserbia.nb.rs
With the development of wireless communication technology, the requirement for data rate is
growing rapidly. Mobile communication system faces the problem of shortage of spectrum …
growing rapidly. Mobile communication system faces the problem of shortage of spectrum …
A service-oriented spectrum allocation algorithm using enhanced PSO for cognitive wireless networks
Q Liu, H Niu, W Xu, D Zhang - Computer Networks, 2014 - Elsevier
Because of the increasing growth of spectrum utilization in wireless networks, dynamic
spectrum allocation (DSA) using cognitive radio has recently attracted attention. DSA …
spectrum allocation (DSA) using cognitive radio has recently attracted attention. DSA …
CR-IoTNet: Machine learning based joint spectrum sensing and allocation for cognitive radio enabled IoT cellular networks
In recent years, the Internet of Things (IoT) paradigm has gained much popularity due to its
potential ability to integrate the physical world with the digital world. However, this digital …
potential ability to integrate the physical world with the digital world. However, this digital …
Imperfect CSI based intelligent dynamic spectrum management using cooperative reinforcement learning framework in cognitive radio networks
The rapid development of wireless traffic pushed the wireless community to research
different solutions towards the efficient utilization of the available radio spectrum. However, a …
different solutions towards the efficient utilization of the available radio spectrum. However, a …
An effective dynamic spectrum access algorithm for multi-hop cognitive wireless networks
D Jiang, Y Wang, C Yao, Y Han - Computer Networks, 2015 - Elsevier
Spectrum utilization, as a current hot research topic, has been paid extensive attention to in
cognitive wireless networks. However, due to the complexities and dynamic properties in …
cognitive wireless networks. However, due to the complexities and dynamic properties in …
Dynamic spectrum access and network selection in heterogeneous cognitive wireless networks
KL Haldar, C Ghosh, DP Agrawal - Pervasive and Mobile Computing, 2013 - Elsevier
In this paper, we propose a cross-layer architectural framework for network and channel
selection in a heterogeneous cognitive wireless network (HCWN). Existing research on …
selection in a heterogeneous cognitive wireless network (HCWN). Existing research on …
Deep reinforcement learning-based spectrum allocation in integrated access and backhaul networks
We develop a framework based on deep reinforcement learning (DRL) to solve the spectrum
allocation problem in the emerging integrated access and backhaul (IAB) architecture with …
allocation problem in the emerging integrated access and backhaul (IAB) architecture with …
Prediction-based spectrum management in cognitive radio networks
Cognitive radio networks (CRNs) have been widely studied to improve spectrum utilization
through a dynamic spectrum allocation scheme. However, many challenges remain and one …
through a dynamic spectrum allocation scheme. However, many challenges remain and one …