Cooperative spectrum sharing increases the spectrum efficiency and improves the
performance of primary users (PUs) in cognitive radio domain. This paper proposes an …

In this paper, a semantic-aware joint communication and computation resource allocation
framework is proposed for mobile edge computing (MEC) systems. In the considered …

In a conventional cognitive radio (CR) network, only when the primary user's (PU) frequency
bands are sensed to be free, secondary users (SUs) can utilize these frequency band …

Semantic communication in the 6G era has been deemed a promising communication
paradigm to break through the bottleneck of traditional communications. However, its …

Semantic communication is a promising paradigm for future artificial intelligence-
empowered communications. In this paper, we propose a task-oriented semantic …

Semantic communication has emerged as a promising technology to break the Shannon
limit by extracting the meaning of source data and sending relevant semantic information …

Semantic communication is regarded as the breakthrough beyond the Shannon paradigm,
which transmits the semantic information only to improve the communication efficiency …

In this article, we propose a deep Q-learning based algorithm for optimal resource allocation
in energy harvested cognitive radio networks (EH-CRN). In EH-CRN, channel resources of …

In this paper, we study the throughput optimization problem in energy harvesting based
cognitive Internet of Things (IoT), under cooperative spectrum sensing mode. Considering …

In this paper, we emphasize on energy-efficient resource allocation for the energy
harvesting based cognitive machine-to-machine (EH-CM2M) communication. We consider …