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 …

Computation offloading and energy harvesting schemes for sum rate maximization in space-air-ground networks

Y Gong, H Yao, Z Xiong, S Guo, FR Yu… - … 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
The space-air-ground (SAG) integrated networks will play a major role in the sixth
generation (6G) mobile networks, which will provide global coverage, full connection and …

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 …

Joint stochastic computational resource and UAV trajectory for wireless-powered space-air-ground IoRT networks

M Liu, Y Wang, Y Chen, H Jia - IEEE Access, 2020 - ieeexplore.ieee.org
The space-air-ground (SAG) network boosts the application for the imperfect ground
infrastructure in Internet of remote things (IoRT) networks. Considering the limited battery life …

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 …

Multi-tier hybrid offloading for computation-aware IoT applications in civil aircraft-augmented SAGIN

Q Chen, W Meng, TQS Quek… - IEEE Journal on Selected …, 2022 - ieeexplore.ieee.org
Satellites and civil aircrafts (CAs) with computing ability are valuable access platforms,
making it possible for Internet of Things (IoT) devices to offload their computation-intensive …

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 …

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 …

Curriculum reinforcement learning-based computation offloading approach in space-air-ground integrated network

Z Wang, H Yu, S Zhu, B Yang - 2021 13th International …, 2021 - ieeexplore.ieee.org
Space-air-ground integrated network (SAGIN) is emerging as a prominent framework
supporting the ever-growing Internet of Things (IoT) applications in the areas without …

Asynchronous federated deep reinforcement learning-based URLLC-aware computation offloading in space-assisted vehicular networks

C Pan, Z Wang, H Liao, Z Zhou, X Wang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Space-assisted vehicular networks (SAVN) provide seamless coverage and on-demand
data processing services for user vehicles (UVs). However, ultra-reliable and low-latency …