A survey on resource management in joint communication and computing-embedded SAGIN
The advent of the 6G era aims for ubiquitous connectivity, with the integration of non-
terrestrial networks (NTN) offering extensive coverage and enhanced capacity. As …
terrestrial networks (NTN) offering extensive coverage and enhanced capacity. As …
A review of key technologies in relation to large-scale clusters of electric vehicles supporting a new power system
J Wu, M Zhang, T Xu, D Gu, D Xie, T Zhang… - … and Sustainable Energy …, 2023 - Elsevier
The construction of a new power system based on new energy sources can support the
successful transition of energy consumption toward a low-carbon environment. Large-scale …
successful transition of energy consumption toward a low-carbon environment. Large-scale …
Intelligent ubiquitous network accessibility for wireless-powered MEC in UAV-assisted B5G
Providing the ubiquitous network accessibility is the key goal for 5G and Beyond 5G (B5G)
networks. As the number of devices and data increase, ensuring the Quality of Service (QoS) …
networks. As the number of devices and data increase, ensuring the Quality of Service (QoS) …
Resource allocation for integrated sensing and communication in digital twin enabled internet of vehicles
Y Gong, Y Wei, Z Feng, FR Yu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With the development of the sixth-generation (6G) network, virtualization remains critical.
The key to future virtualization lies in the service provisioning capability of the network and …
The key to future virtualization lies in the service provisioning capability of the network and …
Energy-efficient task scheduling based on traffic mapping in heterogeneous mobile-edge computing: A green IoT perspective
As a key enabler of emerging 6G applications, mobile edge computing (MEC) improves the
system performance by coordinating the computation resources between the mobile devices …
system performance by coordinating the computation resources between the mobile devices …
Towards energy-efficient scheduling of UAV and base station hybrid enabled mobile edge computing
B Dai, J Niu, T Ren, Z Hu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Mobile edge computing (MEC) has been considered as a promising paradigm to support the
growing popularity of mobile devices (MDs) with similar capabilities as cloud computing …
growing popularity of mobile devices (MDs) with similar capabilities as cloud computing …
Intelligent task offloading and resource allocation in digital twin based aerial computing networks
To meet the future demands for ubiquitous communication coverage and
temporary/unexpected computing resources, aerial computing networks have been …
temporary/unexpected computing resources, aerial computing networks have been …
Energy efficient joint computation offloading and service caching for mobile edge computing: A deep reinforcement learning approach
Mobile Edge Computing (MEC) meets the delay requirements of emerging applications and
reduces energy consumption by pushing cloud functions to the edge of the networks …
reduces energy consumption by pushing cloud functions to the edge of the networks …
Cloud-edge-end collaboration in air–ground integrated power IoT: A semidistributed learning approach
H Liao, Z Jia, Z Zhou, Y Wang, H Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The combination of air–ground integrated power Internet of Things (AGI-PIoT) and cloud-
edge-end collaboration enables flexible coverage and real-time data processing. However …
edge-end collaboration enables flexible coverage and real-time data processing. However …
Deep neural network based UAV deployment and dynamic power control for 6G-Envisioned intelligent warehouse logistics system
The intelligent warehouse logistics system (IWLS) is an essential component in the
emerging industry 5.0. To well assist the IWLS, advanced network architecture and control …
emerging industry 5.0. To well assist the IWLS, advanced network architecture and control …