Issues, challenges, and research trends in spectrum management: A comprehensive overview and new vision for designing 6G networks
With an extensive growth in user demand for high throughput, large capacity, and low
latency, the ongoing deployment of Fifth-Generation (5G) systems is continuously exposing …
latency, the ongoing deployment of Fifth-Generation (5G) systems is continuously exposing …
Multi-connectivity for 5G networks and beyond: A survey
To manage a growing number of users and an ever-increasing demand for bandwidth,
future 5th Generation (5G) cellular networks will combine different radio access technologies …
future 5th Generation (5G) cellular networks will combine different radio access technologies …
Retracted: Comparative analysis of distributive linear and nonlinear optimized spectrum sensing clustering techniques in cognitive radio network systems
G Babu R, MS Obaidat, AV, R Manoharan - IET Networks, 2021 - Wiley Online Library
Retraction:“Comparative analysis of distributive linear and nonlinear optimized spectrum
sensing clustering techniques in cognitive radio network systems” by authors Ganesh Babu …
sensing clustering techniques in cognitive radio network systems” by authors Ganesh Babu …
A comprehensive survey on spectrum sharing techniques for 5G/B5G intelligent wireless networks: Opportunities, challenges and future research directions
The increasing popularity of the Internet of Everything and small-cell devices has
enormously accelerated traffic loads. Consequently, increased bandwidth and high data rate …
enormously accelerated traffic loads. Consequently, increased bandwidth and high data rate …
Deep learning frameworks for cognitive radio networks: Review and open research challenges
Deep learning has been proven to be a powerful tool for addressing the most significant
issues in cognitive radio networks, such as spectrum sensing, spectrum sharing, resource …
issues in cognitive radio networks, such as spectrum sensing, spectrum sharing, resource …
Assessment of dynamic swarm heterogeneous clustering in cognitive radio sensor networks
Many optimization algorithms have been created to determine the most energy‐efficient
transmission mode, allowing for lower power consumption during transmission over shorter …
transmission mode, allowing for lower power consumption during transmission over shorter …
A comprehensive comparison of the performance of metaheuristic algorithms in neural network training for nonlinear system identification
E Kaya - Mathematics, 2022 - mdpi.com
Many problems in daily life exhibit nonlinear behavior. Therefore, it is important to solve
nonlinear problems. These problems are complex and difficult due to their nonlinear nature …
nonlinear problems. These problems are complex and difficult due to their nonlinear nature …
Wireless sensor network to connect isolated nodes using link assessment technique
A simultaneous geography control effort is implemented for full-reachability systems and a
genetic algorithm with dynamic transformation to find the breakthrough in a blaze-scene …
genetic algorithm with dynamic transformation to find the breakthrough in a blaze-scene …
Enhanced the Data Hiding in Geometrical image using stego-Crypto techniques with machine laerning
Steganography and Cryptography are two significant and well known procedures are
accustomed to encoding with covering up of information in the machine learning (ML) …
accustomed to encoding with covering up of information in the machine learning (ML) …
Renewable energy sources efficient detection in triangulation for wireless sensor networks
BB Sundaram, N Srinivas, NK Raja… - IOP Conference …, 2021 - iopscience.iop.org
It is important for wireless sensor networks (WSNs) to determine whether hubs can be
restricted, called localizability recognition. This progression is important for confining hubs …
restricted, called localizability recognition. This progression is important for confining hubs …