Spectrum Sensing (SS) plays an essential role in Cognitive Radio (CR) networks to
diagnose the availability of frequency resources. In this paper, we aim to provide an in-depth …

The next frontier in wireless connectivity lies at the intersection of cognitive radio (CR)
technology and machine learning (ML), where intelligent networks can provide pervasive …

Flow routing can achieve fine-grained network performance optimizations by routing distinct
packet traffic flows over different network paths. While the centralized control of Software …

Free space optical (FSO) communication has established a reputation for itself capable of
delivering high-speed data services over long distances without exhausting radio frequency …

A recommendation system can assist the user to compose an understanding of
requirements and propose informed decisions from a lot of complicated knowledge …

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 …

Energy conservation is a significant task in the Internet of Things (IoT) because IoT involves
highly resource-constrained devices. Clustering is an effective technique for saving energy …

This paper surveys Artificial Intelligence (AI) methods for acquiring and managing context-of-
operation awareness of radio communication nodes, links, and networks. The meaning and …

Abstract The Internet of Things (IoT) is proliferating in technology and automation. Some
popular IoT applications include environmental monitoring, home automation, agriculture …

Cognitive radio innovation could be able to alleviate the limitation of accessible radio
spectrum by facilitating dynamic spectrum access. Analysts have indeed been focusing on …