Energy efficiency (EE) and spectrum efficiency (SE) have received significant attentions on
optimizing the network performance in cognitive radio networks. In this paper, an EE+ SE …

In this letter, a resource allocation strategy based on a deep neural network (DNN) is
proposed for multi-channel cognitive radio networks, where the secondary user (SU) …

The most prominent challenge to the wireless community is to meet the demand for radio
resources. Cognitive Radio (CR) is envisioned as a potential solution that utilizes its …

Increasing spectrum-efficiency (SE) as well as energy-efficiency (EE) has attracted much
attention recently due to the fact that the future wireless networks need to address the issues …

In this paper, we consider an intelligent reflecting surface (IRS)-assisted cognitive radio
system and maximize the secondary user (SU) rate by jointly optimizing the transmit power …

In this paper, we investigate the energy-efficient resource allocation in orthogonal frequency
division multiplexing (OFDM)-based cognitive radio (CR) networks, where we try to …

Spectrum scarcity and energy limitation are becoming two critical issues in designing
Internet of Things (IoT). As two promising technologies, cognitive radio (CR) and radio …

Resources in cognitive radio networks (CRNs) should dynamically be allocated according to
the sensed radio environment. Although some work has been done for dynamic resource …

In 5G systems, enhancing the energy efficiency (EE) and spectrum efficiency (SE) is a
significant task that is capable of fulfilling the demand of future wireless networks and …

The benefits of cognitive radio networking (CRN) have been well recognized with the
emerging wireless applications in recent years. While many existing works assume that the …