Semantic communications are considered a promising beyond-Shannon paradigm to
reduce network traffic and increase reliability, thus making wireless networks more energy …

Energy harvesting-based cognitive machine-to-machine (EH-CM2M) communication has
been proposed to overcome the problem of spectrum scarcity and limited battery capacity by …

The development of emerging applications, such as autonomous transportation systems, is
expected to result in an explosive growth in mobile data traffic. As the available spectrum …

Semantic communication has shown great potential in boosting the effectiveness and
reliability of communications. However, its systems to date are mostly enabled by deep …

Cognitive radio and non-orthogonal multiple access are promising for alleviating the severe
spectral scarcity problem encountered by the next generation wireless communication …

The next generation of Internet services, such as Metaverse, rely on mixed reality (MR)
technology to provide immersive user experiences. However, limited computation power of …

Radio spectrum underutilization and energy inefficiency become urgent bottleneck problems
to the sustainable development of wireless technologies. The research philosophies of …

Recently, deep learned enabled end-to-end communication systems have been developed
to merge all physical layer blocks in the traditional communication systems, which make joint …

In this paper, we study resource management and allocation for energy harvesting cognitive
radio sensor networks (EHCRSNs). In these networks, energy harvesting supplies the …

Recent research efforts on semantic communication have mostly considered accuracy as a
main problem for optimizing goal-oriented communication systems. However, these …