Energy-constrained computation offloading in space-air-ground integrated networks using distributionally robust optimization

Y Chen, B Ai, Y Niu, H Zhang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
With the rapid development of connecting massive devices to the Internet, especially for
remote areas without cellular network infrastructures, space-air-ground integrated networks …

Delay-aware IoT task scheduling in space-air-ground integrated network

C Zhou, W Wu, H He, P Yang, F Lyu… - 2019 IEEE Global …, 2019 - ieeexplore.ieee.org
Due to the versatile networking capability, space-air-ground integrated network (SAGIN)
becomes a prominent future architecture to support the ever-increasing Internet of Things …

Joint UAV position optimization and resource scheduling in space-air-ground integrated networks with mixed cloud-edge computing

S Mao, S He, J Wu - IEEE Systems Journal, 2020 - ieeexplore.ieee.org
Space-aerial-assisted computation offloading has been recognized as a promising
technique to provide ubiquitous computing services for remote Internet of Things (IoT) …

Mobile-edge computing in the sky: Energy optimization for air–ground integrated networks

B Shang, L Liu - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are expected to be deployed as aerial base stations
(BSs) in future wireless networks to provide extensive coverage and additional …

Cellular-connected multi-UAV MEC networks: An online stochastic optimization approach

Y Xu, T Zhang, Y Liu, D Yang, L Xiao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this paper, we consider a mobile edge computing (MEC) network where multiple cellular-
connected unmanned aerial vehicles (UAVs) can offload their computation tasks to multiple …

Collaborative computing services at ground, air, and space: An optimization approach

YK Tun, KT Kim, L Zou, Z Han, G Dán… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Multi-access edge computing (MEC)-enabled integrated space-air-ground networks have
drawn much attention recently, as they can provide communication and computing services …

Multiagent reinforcement learning-based orbital edge offloading in SAGIN supporting Internet of Remote Things

S Zhang, A Liu, C Han, X Liang, X Xu… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
We investigate a computing task scheduling problem in space–air–ground integrated
network (SAGIN) for Internet of Remote Things (IoRT). In the considered scenario, the …

Computation offloading for rechargeable users in space-air-ground networks

Y Gong, H Yao, D Wu, W Yuan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Relying on space-air-ground (SAG)-integrated artificial intelligence of everything (AIoE)
networks, massive computation-intensive and latency-sensitive tasks can be efficiently either …

Online distributed optimization for energy-efficient computation offloading in air-ground integrated networks

J Zhao, X Sun, X Ma, H Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Driven by ever-increasing vehicular intelligent computation-intensive and delay-sensitive
services, this paper investigates the computing offloading in unmanned aerial vehicle (UAV) …

Deep reinforcement learning-based partial task offloading in high altitude platform-aided vehicular networks

TH Nguyen, TP Truong, NN Dao, W Na… - … on Information and …, 2022 - ieeexplore.ieee.org
Compared with traditional terrestrial access networks, a mobile edge computing-enabled
aerial access network is a potential paradigm for performing complicated computations by …