The aim of this systematic review was to identify the correlations between spectrum sensing,
clustering algorithms, and energy-harvesting technology for cognitive-radio-based internet …

Limited by battery and computing resources, the computing-intensive tasks generated by
Internet of Things (IoT) devices cannot be processed all by themselves. Mobile edge …

The development and growth of Wireless Sensor Networks (WSNs) is significantly propelled
by advances in Radio Frequency (RF) and Visible Light Communication (VLC) technologies …

Semantic communication has been regarded as a promising technology to serve upcoming
intelligent applications. However, few studies have addressed the problem of resource …

With the evolution of IoT, some IoT nodes possess a certain degree of mobility, and the
gains of the corresponding channels vary dramatically, incurring the energy supply problem …

The continued growth of the industrial Internet of Things (IoT) paves the way for the fifth
industrial revolution (Industry 5.0), which is expected to further enhance the wireless …

Independent interactive medical applications cooperate closely with user systems through
independent information and data exchange, which realizes digital and intelligent …

Dynamic spectrum access (DSA) has been regarded as a viable solution to the spectrum
shortage problem. To find idle spectrum, partial spectrum sensing could be employed by …

With the ever-increasing demand for data services, the spectrum becomes precious
resource. The cooperative transmission mechanism, which allows broadcast and unicast to …

Task-oriented semantic communication (TOSC) has significant advantages in reducing the
amount of data transmission and alleviating the scarcity of spectrum resources. Unlike …