Aerospace integrated networks innovation for empowering 6G: A survey and future challenges

D Zhou, M Sheng, J Li, Z Han - IEEE Communications Surveys …, 2023 - ieeexplore.ieee.org
The ever-increasing demand for ubiquitous and differentiated services at anytime and
anywhere emphasizes the necessity of aerospace integrated networks (AINs) which consist …

Coverage enhancement for 6G satellite-terrestrial integrated networks: performance metrics, constellation configuration and resource allocation

M Sheng, D Zhou, W Bai, J Liu, H Li, Y Shi… - Science China Information …, 2023 - Springer
Since the base station-centric wireless coverage mode of 5G is difficult to support future
stereoscopic global wireless coverage demands, the future infrastructure of 6G satellite …

Vehicular intelligence in 6G: Networking, communications, and computing

H Guo, X Zhou, J Liu, Y Zhang - Vehicular Communications, 2022 - Elsevier
With the deployment of 5G, researchers and experts begin to look forward to 6G. They
predict that 6G will be the key driving force for information interaction and social life after …

Resource allocation in terrestrial-satellite-based next generation multiple access networks with interference cooperation

Y Zhang, H Zhang, H Zhou, K Long… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
In this paper, an uplink non-orthogonal multiple access (NOMA) terrestrial-satellite network
is investigated, where the terrestrial base stations (BSs) communicate with satellite by …

Toward data collection and transmission in 6G space–air–ground integrated networks: Cooperative HAP and LEO satellite schemes

Z Jia, M Sheng, J Li, Z Han - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
The space–air–ground integrated network (SAGIN)-related issues are attractive in the sixth
generation (6G) technologies, which facilitate the global coverage and seamless service …

Satellite edge computing with collaborative computation offloading: An intelligent deep deterministic policy gradient approach

H Zhang, R Liu, A Kaushik… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
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 …

Load-balanced virtual network embedding based on deep reinforcement learning for 6G regional satellite networks

R Zhu, G Li, Y Zhang, Z Fang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Regional satellite networks are capable of supporting denser coverage and more reliable
communications in the target area and hence have been viewed as an essential part of the …

Lightweight imitation learning for real-time cooperative service migration

Z Ning, H Chen, ECH Ngai, X Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Due to the revolution of communication technology, the rapidly increasing number of mobile
devices in edge networks generates various real-time service requests, requiring a …

An optimized, dynamic, and efficient load-balancing framework for resource management in the internet of things (iot) environment

M Shuaib, S Bhatia, S Alam, RK Masih, N Alqahtani… - Electronics, 2023 - mdpi.com
Major problems and issues in Internet of Things (IoT) systems include load balancing,
lowering operational expenses, and power usage. IoT devices typically run on batteries …

Joint user association, power optimization and trajectory control in an integrated satellite-aerial-terrestrial network

F Pervez, L Zhao, C Yang - IEEE Transactions on Wireless …, 2021 - ieeexplore.ieee.org
Internet-of-Things (IoT) is being widely embraced with the number of connected devices
growing rapidly. Moreover, IoT applications are emerging in diverse verticals such as …