We investigate the performance of a cognitive personal area network (CPAN) in which spectrum sensing is linked to packet transmissions. Efficient CPAN operation may be achieved if each data transmission is taxed by requiring the transmitting node to participate in cooperative sensing for a prescribed time period. In this approach, each node is allowed to transmit a single packet in one transmis...

Researchers argue that dissatisfaction with a misconception is a prerequisite for adopting an alternative conception and that having clear feedback aids learning. The present study investigated the importance of ambiguity (having response options that support both the misconception and target learning category), falsification, and category induction opportunities when overriding a prior concept...

The radio frequency (RF) spectrum is a scarce natural resource, currently regulated by government agencies. With the explosive emergence of wireless applications, the demands for the RF spectrum are constantly increasing. On the other hand, it has been reported that localised temporal and geographic spectrum utilisation efficiency is extremely low. Cognitive radio is an innovative technology de...

Spectrum aggregation is an emerging technology to satisfy the data rate requirement of broadband services for next-generation wireless communication systems. In dynamic spectrum environment, in which the spectrum availability is time-varying, it is quite challenging to maintain the stability of spectrum aggregation. In this paper, we investigate the spectrum sensing and access schemes to minimi...

Cognitive radio is an intelligent communication system which focus on dynamic spectrum usage rather than fixed spectrum assignment. Cooperative spectrum sensing is a technique for detecting the primary user accurately based on information collected from various secondary users. Energy detection technique for spectrum sensing method is employed to determine the occupancy of the frequency spectru...

An efficient method and system for compressive sensing of hyperspectral data is presented. Compression efficiency is achieved by randomly encoding both the spatial and spectral domains of the hyperspectral datacube. Separable sensing architecture is used to reduce the computational complexity associated with compressive sensing of large data, which is typical to hyperspectral imaging. The syste...

Fast and efficient spectrum sensing is vital for multiradio multi-channel cognitive radio (CR) networks where unlicensed secondary users (SUs) have to sense and opportunistically transmit on multiple spectrum bands without causing any harmful interference to the licensed primary users (PUs) of those spectrum bands. Accordingly, this paper presents a smart, practical and efficient wideband spect...