Edge intelligence for mission-critical 6G services in space-air-ground integrated networks
Next-generation wireless services will change our daily lives by supporting smart factories,
intelligent transportation, augmented/virtual reality, and more. These sophisticated services …
intelligent transportation, augmented/virtual reality, and more. These sophisticated services …
Deep reinforcement learning for efficient data collection in UAV-aided Internet of Things
In the Internet of Things (IoTs), unmanned aerial vehicle (UAV) has been considered as an
efficient solution to collect information from ground sensor nodes (SNs) due to its …
efficient solution to collect information from ground sensor nodes (SNs) due to its …
Intelligent task offloading in vehicular edge computing networks
Recently, traditional transportation systems have been gradually evolving to ITS, inspired by
both artificial intelligence and wireless communications technologies. The vehicles get …
both artificial intelligence and wireless communications technologies. The vehicles get …
Multi-agent reinforcement learning for dynamic resource management in 6G in-X subnetworks
The 6G network enables a subnetwork-wide evolution, resulting in a “network of
subnetworks”. However, due to the dynamic mobility of wireless subnetworks, the data …
subnetworks”. However, due to the dynamic mobility of wireless subnetworks, the data …
Toward big data processing in IoT: Path planning and resource management of UAV base stations in mobile-edge computing system
Heavy data load and wide cover range have always been crucial problems for big data
processing in Internet of Things (IoT). Recently, mobile-edge computing (MEC) and …
processing in Internet of Things (IoT). Recently, mobile-edge computing (MEC) and …
Deep Q-learning aided networking, caching, and computing resources allocation in software-defined satellite-terrestrial networks
With the development of satellite networks, there is an emerging trend to integrate satellite
networks with terrestrial networks, called satellite-terrestrial networks (STNs). The …
networks with terrestrial networks, called satellite-terrestrial networks (STNs). The …
Seamless handover in LEO based non-terrestrial networks: Service continuity and optimization
F Wang, D Jiang, Z Wang, J Chen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Developing non-terrestrial networks (NTN) in future wireless networks has been widely
recognized to bring advanced communication services to remote and unserved areas. The …
recognized to bring advanced communication services to remote and unserved areas. The …
Multi-agent reinforcement learning aided computation offloading in aerial computing for the internet-of-things
LEO satellite networks have become a necessary supplement to terrestrial networks aiming
to provide worldwide, ubiquitous connectivity, especially in complicated areas (eg …
to provide worldwide, ubiquitous connectivity, especially in complicated areas (eg …