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RL-Based User Association and Resource Allocation for Multi-UAV enabled MEC

https://doi.org/10.1109/iwcmc.2019.8766458
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Human-level control through deep reinforcement learning
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Multi-Layer Cloud-RAN With Cooperative Resource Allocations for Low-Latency Computing and Communication Services
inferredcites →https://doi.org/10.1109/cloud.2012.97openalex-snapshot
A Framework for Partitioning and Execution of Data Stream Applications in Mobile Cloud Computing
inferredcites →https://doi.org/10.1109/iwqos.2016.7590428openalex-snapshot
Dynamic resource scheduling in cloud radio access network with mobile cloud computing
inferredcites →https://doi.org/10.1109/lcomm.2016.2633248openalex-snapshot
Placement Optimization of UAV-Mounted Mobile Base Stations
inferredcites →https://doi.org/10.1109/lcomm.2017.2772254openalex-snapshot
Joint Altitude and Beamwidth Optimization for UAV-Enabled Multiuser Communications
inferredcites →https://doi.org/10.1109/mcom.2008.4427231openalex-snapshot
On effective offloading services for resource-constrained mobile devices running heavier mobile Internet applications
inferredcites →https://doi.org/10.1109/mwc.2018.1700188openalex-snapshot
Optimal Task Allocation in Near-Far Computing Enhanced C-RAN for Wireless Big Data Processing
inferredcites →https://doi.org/10.1109/tcomm.2018.2799937openalex-snapshot
Energy-Efficient Admission of Delay-Sensitive Tasks for Mobile Edge Computing
inferredcites →https://doi.org/10.1109/tcomm.2018.2865922openalex-snapshot
Common Throughput Maximization in UAV-Enabled OFDMA Systems With Delay Consideration
inferredcites →https://doi.org/10.1109/tpds.2014.2316834openalex-snapshot
Decentralized Computation Offloading Game for Mobile Cloud Computing
inferredcites →https://doi.org/10.1109/tpds.2018.2832124openalex-snapshot
Dynamic Resource Scheduling in Mobile Edge Cloud with Cloud Radio Access Network
inferredcites →https://doi.org/10.1109/twc.2018.2859394openalex-snapshot
Multiple UAVs as Relays: Multi-Hop Single Link Versus Multiple Dual-Hop Links
inferredcites →https://doi.org/10.1145/2479942.2479946openalex-snapshot
A framework for partitioning and execution of data stream applications in mobile cloud computing

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Deep Reinforcement Learning-Based Long-Range Autonomous Valet Parking for Smart Cities
inferred← citeshttps://doi.org/10.1002/ett.4464openalex-snapshot
Resource optimization in UAV‐assisted wireless networks—A comprehensive survey
inferred← citeshttps://doi.org/10.1007/978-3-030-97110-6_1openalex-snapshot
Multi Task Multi-UAV Computation Offloading Enabled Mobile Edge Computing Systems
inferred← citeshttps://doi.org/10.1007/978-981-96-9914-8_1openalex-snapshot
UAV Cluster Dynamic Deployment in Edge Data Acquisition System
inferred← citeshttps://doi.org/10.1007/s10489-022-03482-8openalex-snapshot
DeepMECagent: multi-agent computing resource allocation for UAV-assisted mobile edge computing in distributed IoT system
inferred← citeshttps://doi.org/10.1007/s10586-025-05912-xopenalex-snapshot
Empowering multi-UAV networks: a synergistic approach to task offloading and trajectory optimization
inferred← citeshttps://doi.org/10.1007/s12083-021-01245-9openalex-snapshot
Joint computation offloading and deployment optimization in multi-UAV-enabled MEC systems
inferred← citeshttps://doi.org/10.1016/j.comnet.2023.109804openalex-snapshot
Swarm UAV networking with collaborative beamforming and automated ESN learning in the presence of unknown blockages
inferred← citeshttps://doi.org/10.1049/cmu2.12102openalex-snapshot
Computation offloading game in multiple unmanned aerial vehicle‐enabled mobile edge computing networks
inferred← citeshttps://doi.org/10.1049/cmu2.70146openalex-snapshot
A Multi‐Agent Soft Actor‐Critic Framework to Minimize Age of Information in UAV‐Assisted Networks
inferred← citeshttps://doi.org/10.1109/access.2021.3093431openalex-snapshot
Joint Mobile Charging and Coverage-Time Extension for Unmanned Aerial Vehicles
inferred← citeshttps://doi.org/10.1109/access.2023.3245829openalex-snapshot
Workload-Aware Scheduling Using Markov Decision Process for Infrastructure-Assisted Learning-Based Multi-UAV Surveillance Networks
inferred← citeshttps://doi.org/10.1109/ccsb66722.2025.11154244openalex-snapshot
A Reinforcement Learning-Based Secure Data Offloading Mechanism for the Internet of Things
inferred← citeshttps://doi.org/10.1109/comst.2024.3405075openalex-snapshot
Beyond the Edge: An Advanced Exploration of Reinforcement Learning for Mobile Edge Computing, Its Applications, and Future Research Trajectories
inferred← citeshttps://doi.org/10.1109/globecom46510.2021.9685150openalex-snapshot
Joint UAV Location and Resource Allocation for Air-Ground Integrated Federated Learning
inferred← citeshttps://doi.org/10.1109/globecom54140.2023.10436856openalex-snapshot
Reinforcement Learning-Based Task Offloading of MEC-Assisted UAVs in Precision Agriculture
inferred← citeshttps://doi.org/10.1109/iaeac50856.2021.9390913openalex-snapshot
Maximizing the Average Secrecy Rate for UAV-assisted MEC: A DRL Method
inferred← citeshttps://doi.org/10.1109/icc45855.2022.9839063openalex-snapshot
Reinforcement Learning Based MEC Architecturewith Energy-Efficient Optimization for ARANs
inferred← citeshttps://doi.org/10.1109/iccc56324.2022.10066028openalex-snapshot
A Joint Trajectory Design, Offloading and Resource Allocation Scheme in a Multi-UAV-assisted MEC System
inferred← citeshttps://doi.org/10.1109/icears56392.2023.10085047openalex-snapshot
Edge-Cloud Computing Systems for Unmanned Aerial Vehicles Capable of Optimal Work Offloading with Delay
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IWCMC 2019 TOC
inferred← citeshttps://doi.org/10.1109/jiot.2021.3063188openalex-snapshot
Collaborative Computation Offloading and Resource Allocation in Multi-UAV-Assisted IoT Networks: A Deep Reinforcement Learning Approach
inferred← citeshttps://doi.org/10.1109/jiot.2021.3071531openalex-snapshot
Enabling Efficient Scheduling in Large-Scale UAV-Assisted Mobile-Edge Computing via Hierarchical Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/jiot.2023.3296774openalex-snapshot
Multiagent Reinforcement Learning in Controlling Offloading Ratio and Trajectory for Multi-UAV Mobile-Edge Computing
inferred← citeshttps://doi.org/10.1109/jiot.2023.3345864openalex-snapshot
Asynchronous Federated Learning for Resource Allocation in Software-Defined Internet of UAVs
inferred← citeshttps://doi.org/10.1109/jiot.2024.3447090openalex-snapshot
Cooperative Multiagent Deep Reinforcement Learning Methods for UAV-Aided Mobile Edge Computing Networks
inferred← citeshttps://doi.org/10.1109/msn57253.2022.00099openalex-snapshot
UAV Swarm Trajectory and Cooperative Beamforming Design in Double-IRS Assisted Wireless Communications
inferred← citeshttps://doi.org/10.1109/mvt.2022.3156745openalex-snapshot
Deep Reinforcement Learning-Based Resource Management for Flexible Mobile Edge Computing: Architectures, Applications, and Research Issues
inferred← citeshttps://doi.org/10.1109/taes.2024.3353724openalex-snapshot
Reinforcement Learning for Energy-Efficient User Association in UAV-Assisted Cellular Networks
inferred← citeshttps://doi.org/10.1109/tcc.2026.3678411openalex-snapshot
UAV Deployment Optimization in Multi-UAV-Aided MEC Systems Using Federated Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/tce.2025.3544802openalex-snapshot
Self-Organization Scheduling of Dynamic AAV-MD Networks via Three-Layer Hierarchical Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/tce.2025.3569737openalex-snapshot
Multi-Objective Self-Organization Scheduling of Dynamic AAV-MD Networks via Two Stage Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/tcomm.2022.3226193openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tetci.2020.3007905openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tgcn.2021.3135530openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tgcn.2023.3242999openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tnsm.2021.3096673openalex-snapshot
Multi-Agent DRL for Task Offloading and Resource Allocation in Multi-UAV Enabled IoT Edge Network
inferred← citeshttps://doi.org/10.1109/tnsm.2023.3310486openalex-snapshot
Research on Offloading Strategy of Twin UAVs Edge Computing Tasks for Emergency Communication
inferred← citeshttps://doi.org/10.1109/tvt.2021.3075860openalex-snapshot
Energy Minimization in UAV-Aided Networks: Actor-Critic Learning for Constrained Scheduling Optimization
inferred← citeshttps://doi.org/10.1109/tvt.2021.3077691openalex-snapshot
Multi-Path and Multi-Hop Task Offloading in Mobile Ad Hoc Networks
inferred← citeshttps://doi.org/10.1109/tvt.2021.3118446openalex-snapshot
Semi-Distributed Resource Management in UAV-Aided MEC Systems: A Multi-Agent Federated Reinforcement Learning Approach
inferred← citeshttps://doi.org/10.1109/tvt.2021.3129214openalex-snapshot
Towards Energy-Efficient Scheduling of UAV and Base Station Hybrid Enabled Mobile Edge Computing
inferred← citeshttps://doi.org/10.1109/tvt.2023.3335663openalex-snapshot
Adaptive Resource Allocation for Mobile Edge Computing in Internet of Vehicles: A Deep Reinforcement Learning Approach
inferred← citeshttps://doi.org/10.1109/tvt.2023.3338612openalex-snapshot
Computation Offloading and Trajectory Planning of Multi-UAV-Enabled MEC: A Knowledge-Assisted Multiagent Reinforcement Learning Approach
inferred← citeshttps://doi.org/10.1109/tvt.2024.3479331openalex-snapshot
Energy Efficient Optimal User Association and Node Placement Mechanism for Cooperative UAV Communications
inferred← citeshttps://doi.org/10.1177/01423312251358122openalex-snapshot
Observer-based event-triggered group consensus tracking of hybrid multi-agent systems
inferred← citeshttps://doi.org/10.1186/s13634-021-00785-9openalex-snapshot
Distributed energy-efficient and secure offloading in air-to-ground MEC networks
inferred← citeshttps://doi.org/10.1631/fitee.2000315openalex-snapshot
Energy-efficient trajectory planning for a multi-UAV-assisted mobile edge computing system
inferred← citeshttps://doi.org/10.23919/jcin.2020.9306013openalex-snapshot
Deep Q-Network Based Dynamic Trajectory Design for UAV-Aided Emergency Communications
inferred← citeshttps://doi.org/10.3390/drones6020045openalex-snapshot
Prioritized User Association for Sum-Rate Maximization in UAV-Assisted Emergency Communication: A Reinforcement Learning Approach
inferred← citeshttps://doi.org/10.3390/drones9050358openalex-snapshot
Parallel Task Offloading and Trajectory Optimization for UAV-Assisted Mobile Edge Computing via Hierarchical Reinforcement Learning
inferred← citeshttps://doi.org/10.3390/e24050736openalex-snapshot
Task Offloading Strategy Based on Mobile Edge Computing in UAV Network
inferred← citeshttps://doi.org/10.3390/electronics10020190openalex-snapshot
Dynamic Task Migration Combining Energy Efficiency and Load Balancing Optimization in Three-Tier UAV-Enabled Mobile Edge Computing System
inferred← citeshttps://doi.org/10.3390/electronics11213641openalex-snapshot
Federated Deep Reinforcement Learning for Joint AeBSs Deployment and Computation Offloading in Aerial Edge Computing Network
inferred← citeshttps://doi.org/10.3390/electronics12061358openalex-snapshot
Task Scheduling Based on Adaptive Priority Experience Replay on Cloud Platforms
inferred← citeshttps://doi.org/10.3837/tiis.2021.07.011openalex-snapshot
Resource Allocation for Heterogeneous Service in Green Mobile Edge Networks Using Deep Reinforcement Learning
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