Clustering formation in cognitive radio networks using machine learning

DMS Bhatti, S Ahmed, AS Chan, K Saleem - AEU-International Journal of …, 2020 - Elsevier
The goal of spectrum sensing is to elevate the detection performance of secondary users
(SUs) in a cognitive radio network (CRN). In cooperative spectrum sensing, all secondary …

Machine learning based cluster formation in vehicular communication

DMS Bhatti, Y Rehman, PS Rajput, S Ahmed… - Telecommunication …, 2021 - Springer
Nowadays vehicular communication has become a widespread phenomenon, which will
cause spectrum scarcity. By utilizing the cognitive radio in vehicular communication can be …

Total Throughput Capacity Maximization in Cooperative Cognitive Radio Relay Networks

E Obayiuwana, OO Ayokunle - International Journal of Wireless …, 2023 - Springer
Wireless networks are burdened with the demand of providing higher data rates for the user
devices connected to the wireless networks. This demand presents a huge challenge for the …

Power Allocation in CRNs based on QoS and QoE

MM Damaneh, M Ghazvini, O Abedi… - 2022 9th Iranian Joint …, 2022 - ieeexplore.ieee.org
In Cognitive Radio Networks, secondary users have access to the channel Opportunistically.
So, it must be ensured that the severe interference, that damages the main network, does …

Cross-Layer Optimization for Underlay Cognitive Radio Systems with Multicarrier Transmission

N Mansour, VVK Praneeth… - 2022 14th International …, 2022 - ieeexplore.ieee.org
A novel scheme to enhance the spectral efficiency (SE) for an underlay cognitive radio
system (UCRS) is proposed. A cross-layer optimization (CLO) of both the physical layer …

PU Adjacent Subcarriers Power Allocation for Controlling Interference of OFDM-CR Systems

D Bepari, S MONDAL, A Chattopadhyay - 2022 - researchsquare.com
Interference is the primary limiting factor of Cognitive Radio (CR) systems. This paper
proposes a new power allocation idea for orthogonal frequency division multiplexing …