Aerospace integrated networks innovation for empowering 6G: A survey and future challenges
The ever-increasing demand for ubiquitous and differentiated services at anytime and
anywhere emphasizes the necessity of aerospace integrated networks (AINs) which consist …
anywhere emphasizes the necessity of aerospace integrated networks (AINs) which consist …
Multi-task and multi-objective joint resource optimization for UAV-assisted air-ground integrated networks under emergency scenarios
X Song, M Cheng, L Lei, Y Yang - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
To face the challenges in emergency scenarios, a multitask and multiobjective optimization
algorithm for computation offloading and relay communication is investigated for the air …
algorithm for computation offloading and relay communication is investigated for the air …
Optimizing task offloading energy in multi-user multi-UAV-enabled mobile edge-cloud computing systems
With the emergence of various new Internet of Things (IoT) devices and the rapid increase in
the number of users, enormous services and complex applications are growing rapidly …
the number of users, enormous services and complex applications are growing rapidly …
Bayesian optimization enhanced deep reinforcement learning for trajectory planning and network formation in multi-UAV networks
In this paper, we employ multiple UAVs coordinated by a base station (BS) to help the
ground users (GUs) to offload their sensing data. Different UAVs can adapt their trajectories …
ground users (GUs) to offload their sensing data. Different UAVs can adapt their trajectories …
Completion Time Optimization in UAV-Relaying-Assisted MEC Networks with Moving Users
As one of the most popular consumer electronics, Unmanned Aerial Vehicle (UAV) has the
potential to assist User Equipment (UE) in the Internet of Everything. Mobile edge computing …
potential to assist User Equipment (UE) in the Internet of Everything. Mobile edge computing …
[HTML][HTML] Deep Reinforcement Learning-Based UAV Path Planning for Energy-Efficient Multitier Cooperative Computing in Wireless Sensor Networks
Benefiting from the progress of microelectromechanical system (MEMS) technology,
wireless sensor networks (WSNs) can run a large number of complex applications. One of …
wireless sensor networks (WSNs) can run a large number of complex applications. One of …
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 …
Service function chain scheduling in heterogeneous multi-UAV edge computing
Y Wang, H Wang, X Wei, K Zhao, J Fan, J Chen, Y Hu… - Drones, 2023 - mdpi.com
Supporting Artificial Intelligence (AI)-enhanced intelligent applications on the resource-
limited Unmanned Aerial Vehicle (UAV) platform is difficult due to the resource gap between …
limited Unmanned Aerial Vehicle (UAV) platform is difficult due to the resource gap between …
Software-Defined Heterogeneous Edge Computing Network Resource Scheduling Based on Reinforcement Learning
Y Li, B Wu - Applied Sciences, 2022 - mdpi.com
With the rapid development of wireless networks, wireless edge computing networks have
been widely considered. The heterogeneous characteristics of the 6G edge computing …
been widely considered. The heterogeneous characteristics of the 6G edge computing …
Delay-sensitive task offloading and efficient resource allocation in intelligent edge–cloud environments: A discretized differential evolution-based approach
The number of smart wireless devices (WDs) has enormously increased over the last few
years due to the advancement of 5G/B5G networks. The advanced applications of such …
years due to the advancement of 5G/B5G networks. The advanced applications of such …