Semantic communications for future internet: Fundamentals, applications, and challenges
With the increasing demand for intelligent services, the sixth-generation (6G) wireless
networks will shift from a traditional architecture that focuses solely on a high transmission …
networks will shift from a traditional architecture that focuses solely on a high transmission …
[HTML][HTML] A survey on vehicular task offloading: Classification, issues, and challenges
Emerging vehicular applications with strict latency and reliability requirements pose high
computing requirements, and current vehicles' computational resources are not adequate to …
computing requirements, and current vehicles' computational resources are not adequate to …
Joint computation offloading and resource allocation for edge-cloud collaboration in internet of vehicles via deep reinforcement learning
Mobile edge computing (MEC) and cloud computing (CC) have been considered as the key
technologies to improve the task processing efficiency for Internet of Vehicles (IoV). In this …
technologies to improve the task processing efficiency for Internet of Vehicles (IoV). In this …
DetFed: Dynamic resource scheduling for deterministic federated learning over time-sensitive networks
In this paper, we present a three-layer (ie, device, field, and factory layers) deterministic
federated learning (FL) framework, named DetFed, which accelerates collaborative learning …
federated learning (FL) framework, named DetFed, which accelerates collaborative learning …
RL/DRL meets vehicular task offloading using edge and vehicular cloudlet: A survey
The last two decades have seen a clear trend toward crafting intelligent vehicles based on
the significant advances in communication and computing paradigms, which provide a safer …
the significant advances in communication and computing paradigms, which provide a safer …
UAV-assisted multi-access computation offloading via hybrid NOMA and FDMA in marine networks
With the rapid development of marine networks, there have been growing demands for
computation-intensive and delay-sensitive marine applications and services. However, the …
computation-intensive and delay-sensitive marine applications and services. However, the …
Generative AI-driven semantic communication networks: Architecture, technologies and applications
Generative artificial intelligence (GAI) has emerged as a rapidly burgeoning field
demonstrating significant potential in creating diverse content intelligently and automatically …
demonstrating significant potential in creating diverse content intelligently and automatically …
Collective deep reinforcement learning for intelligence sharing in the internet of intelligence-empowered edge computing
Edge intelligence is emerging as a new interdiscipline to push learning intelligence from
remote centers to the edge of the network. However, with its widespread deployment, new …
remote centers to the edge of the network. However, with its widespread deployment, new …
A survey on vision-based driver distraction analysis
Motor vehicle crashes are great threats to our life, which may result in numerous fatalities, as
well as tremendous economic and societal costs. Driver inattention, either distraction or …
well as tremendous economic and societal costs. Driver inattention, either distraction or …
Optimal targeted advertising strategy for secure wireless edge metaverse
Recently, Metaverse has attracted increasing attention from both industry and academia,
because of the significant potential to integrate real and digital worlds ever more seam …
because of the significant potential to integrate real and digital worlds ever more seam …