Unleashing the power of edge-cloud generative ai in mobile networks: A survey of aigc services
Artificial Intelligence-Generated Content (AIGC) is an automated method for generating,
manipulating, and modifying valuable and diverse data using AI algorithms creatively. This …
manipulating, and modifying valuable and diverse data using AI algorithms creatively. This …
6G Internet of Things: A comprehensive survey
The sixth-generation (6G) wireless communication networks are envisioned to revolutionize
customer services and applications via the Internet of Things (IoT) toward a future of fully …
customer services and applications via the Internet of Things (IoT) toward a future of fully …
Edge learning for B5G networks with distributed signal processing: Semantic communication, edge computing, and wireless sensing
To process and transfer large amounts of data in emerging wireless services, it has become
increasingly appealing to exploit distributed data communication and learning. Specifically …
increasingly appealing to exploit distributed data communication and learning. Specifically …
A comprehensive overview on 5G-and-beyond networks with UAVs: From communications to sensing and intelligence
Due to the advancements in cellular technologies and the dense deployment of cellular
infrastructure, integrating unmanned aerial vehicles (UAVs) into the fifth-generation (5G) and …
infrastructure, integrating unmanned aerial vehicles (UAVs) into the fifth-generation (5G) and …
Towards autonomous multi-UAV wireless network: A survey of reinforcement learning-based approaches
Unmanned aerial vehicle (UAV)-based wireless networks have received increasing
research interest in recent years and are gradually being utilized in various aspects of our …
research interest in recent years and are gradually being utilized in various aspects of our …
UAV swarm intelligence: Recent advances and future trends
Y Zhou, B Rao, W Wang - Ieee Access, 2020 - ieeexplore.ieee.org
The dynamic uncertain environment and complex tasks determine that the unmanned aerial
vehicle (UAV) system is bound to develop towards clustering, autonomy, and intelligence. In …
vehicle (UAV) system is bound to develop towards clustering, autonomy, and intelligence. In …
Hierarchical aerial computing for Internet of Things via cooperation of HAPs and UAVs
With the explosive increment of computation requirements, the multiaccess edge computing
(MEC) paradigm appears as an effective mechanism. Besides, as for the Internet of Things …
(MEC) paradigm appears as an effective mechanism. Besides, as for the Internet of Things …
[HTML][HTML] Machine learning in beyond 5G/6G networks—State-of-the-art and future trends
Artificial Intelligence (AI) and especially Machine Learning (ML) can play a very important
role in realizing and optimizing 6G network applications. In this paper, we present a brief …
role in realizing and optimizing 6G network applications. In this paper, we present a brief …
Graph-based few-shot learning with transformed feature propagation and optimal class allocation
Graph neural network has shown impressive ability to capture relations among support
(labeled) and query (unlabeled) instances in a few-shot task. It is a feasible way that features …
(labeled) and query (unlabeled) instances in a few-shot task. It is a feasible way that features …
Federated learning with fair incentives and robust aggregation for UAV-aided crowdsensing
Unmanned aerial vehicles (UAVs) combined with artificial intelligence (AI) have recently
gathered significant interest to enable intelligent and on-demand crowdsensing …
gathered significant interest to enable intelligent and on-demand crowdsensing …