Machine learning based spectrum prediction in cognitive radio networks

P Pandian, C Selvaraj, N Bhalaji… - … on Networking and …, 2023 - ieeexplore.ieee.org
According to the Cisco's white paper for the year 2018-2023, machine-to-machine (M2M)
connections are mentioned as the first fastest growing connections, with a 2.4 fold increase …

[PDF][PDF] A survey on spectrum prediction methods in cognitive radio networks

S Tidjani, Z Hammoudi - International Journal of Computing, 2019 - academia.edu
The optimization of spectrum usage using cognitive radio methods is one of the actual
issues which takes a lot of attention through the latest researches to overcome spectrum …

Deep-learning based cooperative spectrum prediction for cognitive networks

BS Shawel, DH Woledegebre… - … on Information and …, 2018 - ieeexplore.ieee.org
The concept of dynamic spectrum access under the basic principles of Cognitive Radio (CR)
networks is considered to alleviate the current inefficient use of radio spectrum. Relying on …

[HTML][HTML] Improved Spectrum Prediction Model for Cognitive Radio Networks Using Hybrid Deep Learning Technique

MG Sumithra, M Suriya - International Journal of Intelligent Networks, 2024 - Elsevier
Cognitive Radio (CR) technology has been highlighted as one of the most likely answers to
the issue of spectrum shortage with the rise of fifth generation and beyond communication …

Optimized neural network for spectrum prediction using genetic algorithm in cognitive radio networks

P Supraja, VM Gayathri, R Pitchai - Cluster Computing, 2019 - Springer
Cognitive radio based dynamic spectrum access mechanism is a revolution in wireless
communication which alleviates the spectrum utilization problem. Here cognitive users uses …

A combined spectrum prediction and sensing approach for cognitive radios

VCA Rahim, SC Prema - 2021 IEEE 18th India Council …, 2021 - ieeexplore.ieee.org
Cognitive Radio (CR) is a promising technology to overcome the scarcity of radio frequency
spectrum towards the increasing demands in wireless communication. Spectrum sensing …

Spectrum prediction in cognitive radio with hybrid optimized neural network

P Supraja, R Pitchai, Raja - Mobile Networks and Applications, 2019 - Springer
Modern radio networks promote the usage and emergence of new age technologies through
enabling lay users to utilize superior gadgets without external assistance. Cognitive Radio …

Spectrum prediction in cognitive radio networks

X Xing, T Jing, W Cheng, Y Huo… - IEEE Wireless …, 2013 - ieeexplore.ieee.org
Spectrum sensing, spectrum decision, spectrum sharing, and spectrum mobility are four
major functions of cognitive radio systems. Spectrum sensing is utilized to observe the …

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 spectrum sensing in cognitive radio networks using ML model

N Usha, KV Reddy… - 2020 Third International …, 2020 - ieeexplore.ieee.org
According to CISCO report threefold increase in the mobile traffic can be witnessed between
2016 and 2021. With this, there will be a problem of spectrum allocation and usage. So, to …