Spectrum prediction using time delay neural network in cognitive radio network

S Jain, A Goel, P Arora - Smart Innovations in Communication and …, 2019 - Springer
A number of techniques have been introduced over a period of time to predict the channel
state. Some of the major techniques used in the past works are: prediction based on …

Cognitive radio networks channel state estimation using machine learning techniques

D Tarek, A Benslimane, M Darwish… - 2019 15th International …, 2019 - ieeexplore.ieee.org
In interweave Cognitive Radio Networks (CRNs), monitoring the spectrum to detect unused
portions (holes) is done by the spectrum sensing function however, it consumes both time …

Dynamic update scheme of spectrum information based on spectrum opportunity incentive in the database-assisted dynamic spectrum management

Z Yu, C Yong, H Panfeng, C Yueming - China Communications, 2024 - ieeexplore.ieee.org
To solve the problem of delayed update of spectrum information (SI) in the database
assisted dynamic spectrum management (DB-DSM), this paper studies a novel dynamic …

Development of Spectrum Sharing Protocol for Cognitive Radio Internet of Things

DTMI Hafez - 2020 - theses.hal.science
Internet of Things (IoT) presents a new life style by develo** smart homes, smart grids,
smart city, smart transportation, etc., so IoT is develo** rapidly. However recent …

Building-Interior-Spectrum Availability Prediction Performance Using LSTM

W Medina, MA Alvarez, E Chancay… - 2024 IEEE Latin …, 2024 - ieeexplore.ieee.org
Large deployments of sensors and short-range wireless devices are expected inside smart
buildings (SB), and scenarios with disadvantages like congestion and spectrum saturation …

An Efficient Hybrid Analysis to Improve Data Rate Signal Transmission in Cognitive Radio Networks Using Multi-Hop

B Kathiriya, D Keraliya - International Journal of Electrical …, 2023 - ijeer.forexjournal.co.in
Spectrum scarcity problems can be resolved with the emerging communiqué technologies
known as cognitive radio (CR). Cognitive radio networks (CRNs) will give mobile users …

Influence of Artificial Intelligence on Cognitive Radio Applications

K Pal - Applications of Artificial Intelligence in Wireless …, 2023 - igi-global.com
Cognitive radio networks (CRNs) promise to meet device-to-device communication
requirements for effective spectrum utilization and power control in a distributed environment …

[PDF][PDF] A proposed hybrid approach combined QoS with CR system in smart city

FY Alzyoud, FH Wa'elJum'ah Al_Zyadat… - Eurasian J. Anal …, 2018 - researchgate.net
The fifth generation of mobile communication technology growth by next few years, the traffic
volume of mobile communication that rapidly increase because of the enormous …

Dynamic Spectrum Access in Cognitive Radio Network using Static Neighbor Graph based prediction

S Mangairkarasi, D Arivudainambi - 2022 - researchsquare.com
Abstract In Cognitive Radio Network (CRN), secondary users are allowed to access the
licensed spectrum bands when it was not used by the primary user. The activities of the …

LSTM model for Channel Occupation Prediction in GSM Band

S Bidwai, N Joshi, S Bidwai - 2018 International Conference on …, 2018 - ieeexplore.ieee.org
Radio frequencies are a limited resource and hence sold by the governments at premium
prices. At any point of time, the licensed users may or may not be using the channel. The …