Beam alignment in mmwave V2X communications: A survey
The digital transformation within the automotive industry is accelerating towards an era
dominated by autonomous vehicles, with vehicle-to-everything (V2X) communications being …
dominated by autonomous vehicles, with vehicle-to-everything (V2X) communications being …
Joint multi-task offloading and resource allocation for mobile edge computing systems in satellite IoT
For multi-task mobile edge computing (MEC) systems in satellite Internet of Things (IoT),
there are dependencies between different tasks, which need to be collected and jointly …
there are dependencies between different tasks, which need to be collected and jointly …
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 …
Cloud-edge-device collaborative reliable and communication-efficient digital twin for low-carbon electrical equipment management
The real-time electrical equipment management, such as renewable energy, controllable
loads, and storage units, plays a key role in low-carbon operation of smart industrial park …
loads, and storage units, plays a key role in low-carbon operation of smart industrial park …
Satellite edge computing with collaborative computation offloading: An intelligent deep deterministic policy gradient approach
Enabling a satellite network with edge computing capabilities can complement the
advantages further of a single terrestrial network and provide users with a full range of …
advantages further of a single terrestrial network and provide users with a full range of …
Joint offloading scheduling and resource allocation in vehicular edge computing: A two layer solution
Vehicular Edge Computing (VEC) is a promising paradigm for autonomous driving. It can
reduce delay and energy consumption of tasks. The problem of joint task offloading …
reduce delay and energy consumption of tasks. The problem of joint task offloading …
Reinforcement learning-empowered mobile edge computing for 6G edge intelligence
Mobile edge computing (MEC) is considered a novel paradigm for computation-intensive
and delay-sensitive tasks in fifth generation (5G) networks and beyond. However, its …
and delay-sensitive tasks in fifth generation (5G) networks and beyond. However, its …
Latency optimization for hybrid GEO–LEO satellite-assisted IoT networks
Benefiting from the development of satellite on-board processing capability, the orbital
computing can be realized by deploying edge computing servers on satellites to reduce the …
computing can be realized by deploying edge computing servers on satellites to reduce the …
Delay optimization for cooperative multi-tier computing in integrated satellite-terrestrial networks
The integrated satellite-terrestrial network is promising to provide global broadband
communication service. However, the long propagation delay of satellite-terrestrial links will …
communication service. However, the long propagation delay of satellite-terrestrial links will …
Dynamic resource allocation for virtual network function placement in satellite edge clouds
Satellite edge computing has become a promising way to provide computing services for
Internet of Things (IoT) users in remote areas, which are out of the coverage of terrestrial …
Internet of Things (IoT) users in remote areas, which are out of the coverage of terrestrial …