We study the adaptation of convolutional neural networks to the complex-valued temporal
radio signal domain. We compare the efficacy of radio modulation classification using …

This article draws a general retrospective view on the first 10 years of cognitive radio (CR).
More specifically, we explore in this article decision making and learning for CR from an …

The author makes a review of the SDR (Software Defined Radio) technology, including
hardware schemes and application fields. A low performance device is presented and …

More than a dozen Wireless@ Virginia Tech faculty are working to address the broad
research agenda of cognitive radio and cognitive networks. Our core research team spans …

Artificial intelligence (AI) has made the life more efficient and powered many programs and
services. AI is progressing rapidly, and the future is arriving faster than the predictions. Soon …

There has been significant research progress reported over the last few years in the
development of cognitive radio technologies. This paper reviews some of these results …

In future wireless systems, efficient spectrum usage enabled by technologies such as
cognitive radio (CR), dynamic spectrum access, non-orthogonal multiuser within licensed …

Cognitive radio networks (CRNs) are networks of nodes equipped with cognitive radios that
can optimize performance by adapting to network conditions. Although various routing …

The areas of machine learning and communication technology are converging. Today's
communications systems generate a huge amount of traffic data, which can help to …

The policy of permanently assigning a frequency band to a single application has led to
extremely low utilization of the available spectrum. Cognitive radio, with its ability to be both …