Dynamic spectrum access (DSA) and simultaneously wireless information and power
transfer (SWIPT) are two promising approaches to address the spectrum and energy supply …

The explosive growth of mobile date traffic and ubiquitous mobile services cause an high
energy consumption in mobile devices with limited energy supplies, which has become a …

This work demonstrates the potential of deep reinforcement learning techniques for transmit
power control in wireless networks. Existing techniques typically find near-optimal power …

In this work, we study the joint optimization of energy harvesting and spectrum efficiency in
wireless device-to-device (D2D) networks where multiple D2D pairs adopt simultaneous …

In order to reduce the consumption cost for successive interference cancellation in non-
orthogonal multiple access (NOMA), we propose a resource allocation scheme that involves …

In the current researches, artificial intelligence (AI) plays a crucial role in resource
management for the next generation wireless communication network. However, traditional …

This work demonstrates the potential of deep reinforcement learning techniques for transmit
power control in wireless networks. Existing techniques typically find near-optimal power …

The authors consider the multiuser cognitive radio network, where a primary link coexists
with multiple secondary transmitters (STs) which intend to communicate with an access point …

In this letter, a learning-aided resource allocation scheme based on the constrained Markov
decision process (CMDP) is proposed to improve the average network energy efficiency …

With the increasing complexity of wireless networks and the increasing shortage of spectrum
resources, a novel dynamic spectrum access (DSA) solution is urgently needed. For …