In this study, we will be developed new framework-based deep learning techniques for IDS
detection in a wireless sensor network. This study uses three methods for developing …

The cognitive radio network (CRN) is aimed at strengthening the system through learning
and adjusting by observing and measuring the available resources. Due to spectrum …

Abstract Multi Input Multi Output (MIMO) based Cognitive Radio (CR) provisions an efficient
utilization of the scarce electromagnetic spectrum. Traditional CR includes Interweave and …

This paper investigates the outage performance of simultaneous wireless information and
power transfer (SWIPT) in network‐coded two‐way relay systems, where a relay first …

The paper proposes a machine learning-based user retention technique for the 6G network
by identifying and classifying loyal users using supervised machine learning algorithms …

The primary goal of a Cognitive Radio (CR) is to reprocess the spectrum holes and enhance
the limited accessibility of radio spectrum capability. A longer sensing period enhances the …

The integration of cognitive radio-based Internet of Things devices in 5G network
environments for smart city applications necessitates effective spectrum management. The …

Cognitive radio networks (CRNs) have been introduced as a promising solution to optimize
the use of available radio-frequency spectrum. The key idea in CRNs is the proper selection …

Background: A Cognitive Radio Sensor Network (CRSN)-based Smart Grid (SG) is a new
paradigm for a modern SG. It is totally different from the traditional power grid and …

A new algorithm is elucidated for scheduling the channel for different size windows
broadcast in cognitive radio based wireless networks. Getting high throughput and curtailing …