Generative Diffusion Models (GDMs) have emerged as a transformative force in the realm of
Generative Artificial Intelligence (GenAI), demonstrating their versatility and efficacy across …

Generative Artificial Intelligence (GAI) stands at the forefront of AI innovation, demonstrating
rapid advancement and unparalleled proficiency in generating diverse content. Beyond …

This paper investigates the deep learning (DL) based physical-layer secure beamforming
design. A uniform DL framework is proposed, which exploits training set across various …

The deep reinforcement learning-based transmission design for reconfigurable intelligent
surface (RIS) assisted multiple input single output networks is investigated in this research …

To overcome the impact of information leakage, obstacle blocking, channel uncertainties,
and hardware impairments (HWIs) in wireless communication systems, we design a robust …

This work studies the problem of secrecy energy efficiency maximization in multi-user
wireless networks aided by reconfigurable intelligent surfaces, in which an eavesdropper …

This work proposes a provably convergent and low complexity optimization algorithm for the
maximization of the secrecy energy efficiency in the uplink of a wireless network aided by a …

Ultra-reliable low latency communication (URLLC) is an innovative service offered by fifth-
generation (5G) wireless systems. URLLC enables various mission-critical applications by …

The integration of solar energy harvesting into small-cell networks is a promising solution for
achieving energy-efficient and sustainable wireless communications. However, the inherent …

This paper proposes a novel deep learning enabled beamforming design for ultra-dense
wireless networks by integrating prior knowledge and graph neural network (GNN), termed …