Federated learning (FL) is a distributed learning approach, which allows the distributed
computing nodes to collaboratively develop a global model while keeping their data locally …

Spectral decision making is a function of the cognitive cycle. It aims to select spectral
opportunities within a set of finite possibilities. Decision-making methodologies, based on …

This article uses a machine learning approach to analyze and detect burst signals in a smart
healthcare system to protect and safeguard the public health. We consider the time-series …

In recent decades, there has been significant growth in interconnected communication
devices, with the Internet of Things (IoT) being one of the most intensively developed …

In recent times, many real time applications are developed using IoT based mobile wireless
communication which increased the demand. Cognitive radio technology supplies a …

针对异构物联网中不同网络相互重叠, 相互干扰和信道重叠等情况下的复杂频谱分配问题,
提出了异构物联网中基于粒子群算法的频谱分配方法. 考虑信道空闲状态, 网络干扰状态和信道 …

Cognitive Radio (CR) systems are being implemented recently to tackle the spectrum
underutilization problems and aids efficient data traffic. Spectrum sensing is the crucial step …

In cognitive radio networks (CRN), primary users (PU) are the licensed users and secondary
users (SU) are the unlicensed users. PUs can use the spectrum in the primary network (PN) …