3 papers
cs.NI2025
Generative AI for O-RAN Slicing: A Semi-Supervised Approach with VAE and Contrastive Learning
Salar Nouri, Mojdeh Karbalaee Motalleb, Vahid Shah-Mansouri +1
This paper introduces a novel generative AI (GAI)-driven, unified semi-supervised learning architecture for optimizing resource allocation and network slicing in O-RAN. Termed Gene…
cs.NI2024
Online and Utility-Power Efficient Task Scheduling in Homogeneous Fog Networks
Fatemeh Ebadi, Vahid Shah-Mansouri
Fog computing is of particular interest to Internet of Things (IoT), where inexpensive simple devices can offload their computation tasks to nearby Fog Nodes. Online scheduling in…
cs.CE2024
Design and Evaluation of Crowd-sourcing Platforms Based on Users Confidence Judgments
Samin Nili Ahmadabadi, Maryam Haghifam, Vahid Shah-Mansouri +1
Crowd-sourcing deals with solving problems by assigning them to a large number of non-experts called crowd using their spare time. In these systems, the final answer to the questio…