A spectrum aware mobility pattern based routing protocol for CR-VANETs

S Akter, N Mansoor - 2020 IEEE Wireless Communications and …, 2020 - ieeexplore.ieee.org
Cognitive radio technology offers an important function in the efficient utilization of the radio
spectrum. Besides, it is expected that CR-enabled vehicular ad-hoc networks (CRVANETs) …

Transmission State Prediction from MAC in Cognitive Radio via Optimized Deep Learning Architecture

KP More, RA Patil - International Journal of Pattern Recognition and …, 2021 - World Scientific
Cognitive Radio (CR) is the hottest network paradigm, which permits the Secondary Users
(SUs) like wireless devices/users for intelligent accessing of unallocated radio spectrum …

Low complexity multichannel spectrum prediction algorithm based on optimized neural network for spectrum allocation in cognitive radio internet of things

S Tidjani, Z Hammoudi, ME Moad - Transactions on Emerging …, 2022 - Wiley Online Library
Cognitive radio has been nominated as a key technology for the internet of things (IoT), due
to its intelligent functionalities ensuring continuous connectivity for IoT objects. Spectrum …

Dynamic channel allocation technique for cognitive radio based UAV networks

MS Hosen, Y Peng - … on Artificial Intelligence and Big Data …, 2021 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs) are the modern technology for Public Safety
Communication Systems. With the integration with wireless & cellular networks, UAVs can …

Multi-user reinforcement learning based multi-reward for spectrum access in cognitive vehicular networks

L Chen, Q Zhao, K Fu, X Zhao, H Sun - Telecommunication Systems, 2023 - Springer
Abstract Cognitive Vehicular Networks (CVNs) can improve spectrum utilization by
intelligently using idle spectrum, so as to fulfill the needs of communication. The previous …

[PDF][PDF] Research Article 5G-Telecommunication Allocation Network Using IoT Enabled Improved Machine Learning Technique

MS Alzaidi, C Subbalakshmi, TV Roshini, PK Shukla… - 2022 - academia.edu
The exponential rise of wireless communications has led in an ever-increasing need for the
deployment of wireless services in both licensed and unlicensed frequency spectrum …

[HTML][HTML] Machine learning-based cooperative spectrum sensing in dynamic segmentation enabled cognitive radio vehicular network

MA Hossain, R Md Noor, KLA Yau, SR Azzuhri… - Energies, 2021 - mdpi.com
A vehicle ad hoc network (VANET) is a solution for road safety, congestion management,
and infotainment services. Integration of cognitive radio (CR), known as CR-VANET, is …

A comprehensive survey on machine learning approaches for dynamic spectrum access in cognitive radio networks

A Kaur, K Kumar - Journal of Experimental & Theoretical Artificial …, 2022 - Taylor & Francis
Due to exponential growth in demand for radio spectrum for wireless communication
networking, the radio spectrum has become over-crowded. The fixed spectrum allocation …

Vehicular network spectrum allocation using hybrid NOMA and multi-agent reinforcement learning

LE Alatabani, RA Saeed, ES Ali, RA Mokhtar… - … and Delivering Practical …, 2023 - Springer
The recent years have seen a proven impact of the reinforcement learning use in many
applications which showed tremendous success in solving many decision-making …

A novel approach for better QoS in cognitive radio ad hoc networks using Cat optimization

L Singh, N Dutta - … Management, Analytics and Innovation: Proceedings of …, 2019 - Springer
Abstract Cognitive Radio is a Wi-Fi verbal exchange methodology that allows the user to
engage except having a fixed preassigned radio spectrum. Cognitive Radio Networks …