May 23, 2024 · The optimization problem maximizes system energy efficiency by jointly optimizing ground user transmission power, UAV trajectory, and RIS phase shifts. The ...
May 29, 2024 · In this paper, we consider an active reconfigurable intelligent surface (RIS)-aided unmanned aerial vehicle(UAV)-enabled simultaneous wireless information and ...
May 22, 2024 · The authors in [39] provide a comprehensive survey on optimization. Page 3. 3 techniques for RIS-aided wireless communications, includ- ing model-based, ...
May 22, 2024 · During the local training stage, each UAV, acting as a federated user, trains its own IDS model based on conditional. GANs using its local data. To preserve ...
May 15, 2024 · We propose using federated learning (FL) in low Earth orbit (LEO) satellite networks for the Internet of Remote Things (IoRTs) to enable adaptive learning in ...
May 23, 2024 · Path Loss Modeling for RIS-Assisted Wireless System with Direct Link and Elevation Factors ... Transformer-based Federated Learning ... Training point-based deep ...
Technical Note—A General Inner Approximation Algorithm for ...
pubsonline.informs.org › opre.26.4.681
May 30, 2024 · Inner approximation algorithms have had two major roles in the mathematical programming literature. Their first role was in the construction of algorithms ...
7 days ago · The article emphasizes the potential of deep reinforcement learning to enable network entities to make optimal decisions locally and independently, and it ...
May 11, 2024 · and Imran, M. A. (2023) A survey on energy optimization techniques in UAV-based cellular networks: from conventional to machine learning approaches. Drones ...
