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Satellite-assisted edge computing management based on deep reinforcement learning in industrial internet of things
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/9781119673811openalex-snapshot
Satellite Communications Systems
inferredcites →https://doi.org/10.1002/sat.4600090208openalex-snapshot
Analysis and correction techniques of doppler shift for non‐geosynchronous communication satellites
inferredcites →https://doi.org/10.1007/978-3-030-14799-0openalex-snapshot
Intelligent Information and Database Systems
inferredcites →https://doi.org/10.1109/access.2017.2735988openalex-snapshot
LEO Satellite Constellation for Internet of Things
inferredcites →https://doi.org/10.1109/access.2019.2963068openalex-snapshot
A Game-Theoretic Approach to Computation Offloading in Satellite Edge Computing
inferredcites →https://doi.org/10.1109/access.2023.3237701openalex-snapshot
Joint Communication, Computing, and Caching Resource Allocation in LEO Satellite MEC Networks
inferredcites →https://doi.org/10.1109/comst.2017.2705720openalex-snapshot
On Multi-Access Edge Computing: A Survey of the Emerging 5G Network Edge Cloud Architecture and Orchestration
inferredcites →https://doi.org/10.1109/comst.2022.3171465openalex-snapshot
Digital Twin: A Comprehensive Survey of Security Threats
inferredcites →https://doi.org/10.1109/infocom.2016.7524497openalex-snapshot
Energy-efficient dynamic offloading and resource scheduling in mobile cloud computing
inferredcites →https://doi.org/10.1109/jiot.2018.2871020openalex-snapshot
Deep Reinforcement Learning-Based Mode Selection and Resource Management for Green Fog Radio Access Networks
inferredcites →https://doi.org/10.1109/jiot.2020.2984887openalex-snapshot
Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence
inferredcites →https://doi.org/10.1109/jiot.2020.3004500openalex-snapshot
Toward Edge Intelligence: Multiaccess Edge Computing for 5G and Internet of Things
inferredcites →https://doi.org/10.1109/jiot.2021.3085129openalex-snapshot
Service Coverage for Satellite Edge Computing
inferredcites →https://doi.org/10.1109/jiot.2022.3233383openalex-snapshot
Satellite Edge Computing With Collaborative Computation Offloading: An Intelligent Deep Deterministic Policy Gradient Approach
inferredcites →https://doi.org/10.1109/lcomm.2020.3001227openalex-snapshot
The LSTM-Based Advantage Actor-Critic Learning for Resource Management in Network Slicing With User Mobility
inferredcites →https://doi.org/10.1109/mcom.2018.1700299openalex-snapshot
IoT in the Fog: A Roadmap for Data-Centric IoT Development
inferredcites →https://doi.org/10.1109/mnet.2018.1700244openalex-snapshot
Resource Mobility in Space Information Networks: Opportunities, Challenges, and Approaches
inferredcites →https://doi.org/10.1109/mnet.2018.1800037openalex-snapshot
Satellite-5G Integration: A Network Perspective
inferredcites →https://doi.org/10.1109/mnet.2018.1800172openalex-snapshot
Satellite Mobile Edge Computing: Improving QoS of High-Speed Satellite-Terrestrial Networks Using Edge Computing Techniques
inferredcites →https://doi.org/10.1109/mwc.2017.1600173openalex-snapshot
Toward a Flexible and Reconfigurable Broadband Satellite Network: Resource Management Architecture and Strategies
inferredcites →https://doi.org/10.1109/mwc.2019.1800301openalex-snapshot
Ultra-Dense LEO: Integration of Satellite Access Networks into 5G and Beyond
inferredcites →https://doi.org/10.1109/pimrc.2015.7343589openalex-snapshot
A novel timing advanced estimation algorithm for eliminating frequency offset in satellite system
inferredcites →https://doi.org/10.1109/taes.2022.3199330openalex-snapshot
Performance Evaluation of a Satellite Communication-Based MEC Architecture for IoT Applications
inferredcites →https://doi.org/10.1109/tii.2020.3017668openalex-snapshot
Low-Latency Federated Learning and Blockchain for Edge Association in Digital Twin Empowered 6G Networks
inferredcites →https://doi.org/10.1109/tii.2020.3024170openalex-snapshot
Learning-Based Resource Allocation Strategy for Industrial IoT in UAV-Enabled MEC Systems
inferredcites →https://doi.org/10.1109/tii.2020.3040180openalex-snapshot
Service Offloading With Deep Q-Network for Digital Twinning-Empowered Internet of Vehicles in Edge Computing
inferredcites →https://doi.org/10.1109/tmc.2019.2928811openalex-snapshot
Deep Reinforcement Learning for Online Computation Offloading in Wireless Powered Mobile-Edge Computing Networks
inferredcites →https://doi.org/10.1109/tnnls.2020.3044196openalex-snapshot
An Off-Policy Trust Region Policy Optimization Method With Monotonic Improvement Guarantee for Deep Reinforcement Learning
inferredcites →https://doi.org/10.1109/tnse.2022.3159796openalex-snapshot
Dynamic Resource Allocation for Virtual Network Function Placement in Satellite Edge Clouds
inferredcites →https://doi.org/10.1109/tnse.2022.3207214openalex-snapshot
Aerial Edge Computing on Orbit: A Task Offloading and Allocation Scheme
inferredcites →https://doi.org/10.1109/tpwrs.2020.3030164openalex-snapshot
On Multi-Event Co-Calibration of Dynamic Model Parameters Using Soft Actor-Critic
inferredcites →https://doi.org/10.1109/wcnc.2018.8377343openalex-snapshot
Deep reinforcement learning based computation offloading and resource allocation for MEC
inferredcites →https://doi.org/10.1145/3300061.3300116openalex-snapshot
Edge Assisted Real-time Object Detection for Mobile Augmented Reality
inferredcites →https://doi.org/10.3390/s19040831openalex-snapshot
SatEC: A 5G Satellite Edge Computing Framework Based on Microservice Architecture
inferredcites →https://doi.org/10.3390/s19204375openalex-snapshot
Satellite Edge Computing for the Internet of Things in Aerospace
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4685969openalex-extracted
5g and Edge: Orchestrating Resource Allocation in a Multidimensional and Distributed Infrastructure
inferred← citeshttps://doi.org/10.1016/j.aei.2025.104096openalex-snapshot
QERLO: An intelligent Quantum-Enhanced Reinforcement Learning framework for task Offloading in IoT networks
inferred← citeshttps://doi.org/10.1016/j.comcom.2024.05.011openalex-snapshot
LEO satellites selection-based computation offloading algorithm in aircraft–satellite multi-access edge computing networks
inferred← citeshttps://doi.org/10.1016/j.comnet.2024.110434openalex-snapshot
5G and edge: A reinforcement learning approach for Virtual Network Embedding with cost optimization and improved acceptance rate
inferred← citeshttps://doi.org/10.1016/j.comnet.2024.110801openalex-snapshot
Multi-objective joint optimization of task offloading based on MADRL in internet of things assisted by satellite networks
inferred← citeshttps://doi.org/10.1016/j.comnet.2025.111617openalex-snapshot
Collaborative computation offloading in satellite–terrestrial networks enabled by satellite edge computing: An intelligent multi-agent approach
inferred← citeshttps://doi.org/10.1016/j.comnet.2025.111680openalex-snapshot
Computation offloading and resource allocation in satellite edge computing networks: A multi-agent reinforcement learning approach
inferred← citeshttps://doi.org/10.1109/globecom59602.2025.11432203openalex-snapshot
Satellite Task Scheduling Strategy Optimization: From a 3C Resources Perspective
inferred← citeshttps://doi.org/10.1109/icdt61202.2024.10489099openalex-snapshot
An Analysis of Edge Communication Architectures for Ultra-Dense Fog Networks
inferred← citeshttps://doi.org/10.1109/tcomm.2024.3511710openalex-snapshot
Martingale Theory-Based Delay Bound Analysis for Multi-Hop Heterogeneous Satellite Networks
inferred← citeshttps://doi.org/10.1186/s13677-025-00821-1openalex-snapshot
Security-aware computation offloading in internet of vehicles: a multi-agent reinforcement learning algorithm with attention mechanism
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