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Energy Efficient Resource Allocation in UAV-Enabled Mobile Edge Computing Networks

https://doi.org/10.1109/twc.2019.2927313

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What this work says

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

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3D City Map Reconstruction from UAV-Based Radio Measurements

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Multiobjective Optimization for Computation Offloading in Fog Computing

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DREAM: Dynamic Resource and Task Allocation for Energy Minimization in Mobile Cloud Systems

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inferredcites →https://doi.org/10.1109/jsac.2018.2864426openalex-snapshot

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inferredcites →https://doi.org/10.1109/lcomm.2016.2633248openalex-snapshot

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Mobile Edge Computing via a UAV-Mounted Cloudlet: Optimization of Bit Allocation and Path Planning

inferredcites →https://doi.org/10.1109/twc.2013.072513.121842openalex-snapshot

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Deep Reinforcement Learning-based Task Offloading and Resource Allocation in MEC-enabled Wireless Networks

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Efficient UAV/Satellite-assisted IoT Task Offloading: A Multi-agent Reinforcement Learning Solution

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Energy Efficient Resource Allocation and Trajectory Optimization in UAV-Assisted Mobile Edge Computing System

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Computing offloading and load balancing within UAV clusters

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Toward Enabled Industrial Verticals in 5G: A Survey on MEC-Based Approaches to Provisioning and Flexibility

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A Vision and Framework for the High Altitude Platform Station (HAPS) Networks of the Future

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Resource Scheduling in Edge Computing: A Survey

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A Survey on Resource Management in Joint Communication and Computing-Embedded SAGIN

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Quantum Reinforcement Learning for UAV-Enhanced Next-Generation Wireless Communications

inferred← citeshttps://doi.org/10.1109/cscwd61410.2024.10580540openalex-snapshot

Deep Reinforcement Learning-Driven Adaptive Task Offloading and Resource Allocation for UAV-Assisted Mobile Edge Computing

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Artificial Intelligence Enabled Distributed Edge Computing for Internet of Things Applications

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Joint Task Offloading and Energy Allocation for UAV-based Fog Computing Through Federated Deep Reinforcement Learning

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Risk-Aware Application Placement in Mobile Edge Computing Systems: A Learning-based Optimization Approach

inferred← citeshttps://doi.org/10.1109/eucnc/6gsummit58263.2023.10188346openalex-snapshot

Dynamic Resource Allocation for URLLC in UAV-Enabled Multi-access Edge Computing

inferred← citeshttps://doi.org/10.1109/fnwf55208.2022.00054openalex-snapshot

Deep Reinforcement Learning for Task Offloading in UAV-Aided Smart Farm Networks

inferred← citeshttps://doi.org/10.1109/gcwkshps56602.2022.10008478openalex-snapshot

Energy Efficiency Optimization for RIS-Assisted UAV-Enabled MEC Systems

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Joint Communication and Computation in Hybrid Cloud/Mobile Edge Computing Networks

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Performance Optimization of Federated Learning over Wireless Networks

inferred← citeshttps://doi.org/10.1109/globecom42002.2020.9322239openalex-snapshot

Security-Aware Resource Sharing in Software Defined Air-Ground Integrated Networks: A Game Approach

inferred← citeshttps://doi.org/10.1109/globecom42002.2020.9348243openalex-snapshot

Joint Power and Deployment Optimization for Multi-UAV Remote Edge Computing

inferred← citeshttps://doi.org/10.1109/globecom48099.2022.10000889openalex-snapshot

Distributed Energy-efficient Computation Offloading and Trajectory Planning in Aerial Edge Networks

inferred← citeshttps://doi.org/10.1109/globecom48099.2022.10001011openalex-snapshot

Deep Reinforcement Learning Approach for UAV-Assisted Mobile Edge Computing Networks

inferred← citeshttps://doi.org/10.1109/globecom54140.2023.10437353openalex-snapshot

Computation Throughput Maximization for UAV-Enabled MEC via Uplink NOMA

inferred← citeshttps://doi.org/10.1109/hpcc-dss-smartcity-dependsys57074.2022.00221openalex-snapshot

A Mobility Adaptive Service Placement Scheme in Satellite Edge Computing Network

inferred← citeshttps://doi.org/10.1109/icc.2019.8761939openalex-snapshot

Resource Allocation in Full-Duplex Mobile-Edge Computation Systems with NOMA and Energy Harvesting

inferred← citeshttps://doi.org/10.1109/icc42927.2021.9500947openalex-snapshot

Secure Computation Offloading for Multi-user Multi-server MEC-enabled IoT

inferred← citeshttps://doi.org/10.1109/icc45041.2023.10279268openalex-snapshot

Profit Maximization for UAV Trajectory Planning in Time-Constrained Data Collection

inferred← citeshttps://doi.org/10.1109/icc45855.2022.9838500openalex-snapshot

Reinforcement Learning-Based Deadline and Battery-Aware Offloading in Smart Farm IoT-UAV Networks

inferred← citeshttps://doi.org/10.1109/icc45855.2022.9838879openalex-snapshot

Computation Throughput Maximization for UAV-Enabled MEC with Binary Computation Offloading

inferred← citeshttps://doi.org/10.1109/icc45855.2022.9839040openalex-snapshot

Joint Task Scheduling, Routing, and Charging for Multi-UAV Based Mobile Edge Computing

inferred← citeshttps://doi.org/10.1109/icc45855.2022.9839047openalex-snapshot

Optimal Rate and Distance Based Bandwidth Slicing in UAV Assisted 5G Networks

inferred← citeshttps://doi.org/10.1109/icc45855.2022.9839211openalex-snapshot

Trajectory and Power Optimization in sub-THz band for UAV Communications

inferred← citeshttps://doi.org/10.1109/iccc51575.2020.9345215openalex-snapshot

A Load Balancing based Resource Allocation Algorithm in UAV-aided MEC Systems

inferred← citeshttps://doi.org/10.1109/iccc70295.2026.11680405openalex-snapshot

Deep Reinforcement Learning-Based Sensing Freshness Optimization in AoI-Constrained Air-Ground Communication Systems

inferred← citeshttps://doi.org/10.1109/iccce66530.2025.11474095openalex-snapshot

Utilizing Deep Reinforcement Learning for Task Offloading and Resource Management in MEC-Enabled 6G Networks

inferred← citeshttps://doi.org/10.1109/icccworkshops67136.2025.11148139openalex-snapshot

DRL Framework for Joint Task Offloading and Resource Allocation in Terahertz Aerial-Space MEC Networks

inferred← citeshttps://doi.org/10.1109/icccworkshops67136.2025.11148145openalex-snapshot

LLM Agent for Hyper-Parameter Optimization

inferred← citeshttps://doi.org/10.1109/icccworkshops67136.2025.11148201openalex-snapshot

Minimization Age of Information for Aerial STAR-RIS-assisted MEC Networks: A Reinforcement Learning Approach

inferred← citeshttps://doi.org/10.1109/icce-taiwan66881.2025.11207880openalex-snapshot

Assembly-Based Data Processing Method Using Multiple Computing UAVs

inferred← citeshttps://doi.org/10.1109/icdcsw53096.2021.00011openalex-snapshot

Joint Offloading and Resource Allocation of UAV-assisted Mobile Edge Computing with Delay Constraints

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

inferred← citeshttps://doi.org/10.1109/icnlp69856.2026.11527687openalex-snapshot

Joint Region Partitioning and Trajectory Scheduling for UAV-Enabled MEC Networks

inferred← citeshttps://doi.org/10.1109/ictc52510.2021.9621158openalex-snapshot

Intelligent Offloading and Resource Allocation in HAP-Assisted MEC Networks

inferred← citeshttps://doi.org/10.1109/icufn69619.2026.11628655openalex-snapshot

A Survey on UAV-Assisted Wireless Communications for Future Networks

inferred← citeshttps://doi.org/10.1109/ieeeconf60004.2024.10942766openalex-snapshot

Equitable Extended Reality via Cooperative NOMA in Decentralized Mobile Edge Computing Systems

inferred← citeshttps://doi.org/10.1109/ijcnn60899.2024.10651240openalex-snapshot

Joint Dynamic Role Switching Scheme and Cooperative Task Offloading Optimization for UAV Swarm-Enabled Edge Computing

inferred← citeshttps://doi.org/10.1109/imcec55388.2022.10019911openalex-snapshot

Joint Optimization of Transmission and Computing Resource in Mobile Edge Computing Systems with Multiple Base Stations

inferred← citeshttps://doi.org/10.1109/infocom48880.2022.9796714openalex-snapshot

Two Time-Scale Joint Service Caching and Task Offloading for UAV-assisted Mobile Edge Computing

inferred← citeshttps://doi.org/10.1109/inista62901.2024.10683835openalex-snapshot

Performance Improvement for UAV-Assisted Mobile Edge Computing with Multi-Agent Deep Reinforcement Learning

inferred← citeshttps://doi.org/10.1109/iswcs69382.2026.11713744openalex-snapshot

QoE-Aware Resource Allocation for AIGC Services in Low-Altitude Economy Networks

inferred← citeshttps://doi.org/10.1109/ithings-greencom-cpscom-smartdata-cybermatics55523.2022.00115openalex-snapshot

Resource Allocation and Computation Offloading in Ultra-reliable Low-latency Communication Systems via Deep Reinforcement Learning

inferred← citeshttps://doi.org/10.1109/iwcmc48107.2020.9148519openalex-snapshot

An Energy-Aware Joint Routing and Task Allocation Algorithm in MEC Systems Assisted by Multiple UAVs

inferred← citeshttps://doi.org/10.1109/iwcmc61514.2024.10592599openalex-snapshot

Dynamic Clustering-based Task Orchestrator in Mobile Edge Computing

inferred← citeshttps://doi.org/10.1109/jiot.2020.2987600openalex-snapshot

Mobile-Edge Computing in the Sky: Energy Optimization for Air–Ground Integrated Networks

inferred← citeshttps://doi.org/10.1109/jiot.2020.2991481openalex-snapshot

Energy-Efficient Resource Allocation in Fog Computing Networks With the Candidate Mechanism

inferred← citeshttps://doi.org/10.1109/jiot.2020.2993260openalex-snapshot

Completion Time and Energy Optimization in the UAV-Enabled Mobile-Edge Computing System

inferred← citeshttps://doi.org/10.1109/jiot.2020.3003717openalex-snapshot

Resource Allocation and 3-D Placement for UAV-Enabled Energy-Efficient IoT Communications

inferred← citeshttps://doi.org/10.1109/jiot.2020.3011286openalex-snapshot

A Machine Learning Approach for Task and Resource Allocation in Mobile-Edge Computing-Based Networks

inferred← citeshttps://doi.org/10.1109/jiot.2020.3046788openalex-snapshot

Energy Consumption Minimization in UAV-Assisted Mobile-Edge Computing Systems: Joint Resource Allocation and Trajectory Design

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.2021.3073208openalex-snapshot

Multi-UAV-Enabled Mobile-Edge Computing for Time-Constrained IoT Applications

inferred← citeshttps://doi.org/10.1109/jiot.2021.3078746openalex-snapshot

Task Selection and Scheduling in UAV-Enabled MEC for Reconnaissance With Time-Varying Priorities

inferred← citeshttps://doi.org/10.1109/jiot.2021.3080078openalex-snapshot

Federated Learning for Task and Resource Allocation in Wireless High-Altitude Balloon Networks

inferred← citeshttps://doi.org/10.1109/jiot.2021.3123429openalex-snapshot

Computation Bits Maximization in UAV-Enabled Mobile-Edge Computing System

inferred← citeshttps://doi.org/10.1109/jiot.2021.3126290openalex-snapshot

Energy-Effective Offloading Scheme in UAV-Assisted C-RAN System

inferred← citeshttps://doi.org/10.1109/jiot.2021.3127150openalex-snapshot

Joint Transmission Scheme and Coded Content Placement in Cluster-Centric UAV-Aided Cellular Networks

inferred← citeshttps://doi.org/10.1109/jiot.2022.3151619openalex-snapshot

UAV-Enabled Mobile-Edge Computing for AI Applications: Joint Model Decision, Resource Allocation, and Trajectory Optimization

inferred← citeshttps://doi.org/10.1109/jiot.2022.3151639openalex-snapshot

Hierarchical Aerial Computing for Internet of Things via Cooperation of HAPs and UAVs

inferred← citeshttps://doi.org/10.1109/jiot.2022.3152447openalex-snapshot

FlexEdge: Dynamic Task Scheduling for a UAV-Based On-Demand Mobile Edge Server

inferred← citeshttps://doi.org/10.1109/jiot.2022.3161571openalex-snapshot

Intelligent Offloading and Resource Allocation in Heterogeneous Aerial Access IoT Networks

inferred← citeshttps://doi.org/10.1109/jiot.2022.3161680openalex-snapshot

DRL-Based Secure Video Offloading in MEC-Enabled IoT Networks

inferred← citeshttps://doi.org/10.1109/jiot.2022.3172358openalex-snapshot

Communication-, Computation-, and Control-Enabled UAV Mobile Communication Networks

inferred← citeshttps://doi.org/10.1109/jiot.2022.3195855openalex-snapshot

Providing Aerial MEC Service in Areas Without Infrastructure: A Tethered-UAV-Based Energy-Efficient Task Scheduling Framework

inferred← citeshttps://doi.org/10.1109/jiot.2022.3200916openalex-snapshot

Energy-Efficient Information Placement and Delivery Using UAVs

inferred← citeshttps://doi.org/10.1109/jiot.2022.3201017openalex-snapshot

Joint Multi-Domain Resource Allocation and Trajectory Optimization in UAV-Assisted Maritime IoT Networks

inferred← citeshttps://doi.org/10.1109/jiot.2022.3215255openalex-snapshot

Joint Multi-UAV Path Planning and LoS Communication for Mobile-Edge Computing in IoT Networks With RISs

inferred← citeshttps://doi.org/10.1109/jiot.2022.3228863openalex-snapshot

Multihop Task Routing in UAV-Assisted Mobile-Edge Computing IoT Networks With Intelligent Reflective Surfaces

inferred← citeshttps://doi.org/10.1109/jiot.2023.3241088openalex-snapshot

Wireless-Powered OFDMA-MEC Networks With Hybrid Active–Passive Communications

inferred← citeshttps://doi.org/10.1109/jiot.2023.3263360openalex-snapshot

Aerial Edge Computing: A Survey

inferred← citeshttps://doi.org/10.1109/jiot.2023.3288200openalex-snapshot

UAV-Enhanced Service Caching for IoT Systems in Extreme Environments

inferred← citeshttps://doi.org/10.1109/jiot.2023.3292368openalex-snapshot

An Optimal Transport-Based Federated Reinforcement Learning Approach for Resource Allocation in Cloud–Edge Collaborative IoT

inferred← citeshttps://doi.org/10.1109/jiot.2023.3296613openalex-snapshot

Secure Video Offloading in Multi-UAV-Enabled MEC Networks: A Deep Reinforcement Learning Approach

inferred← citeshttps://doi.org/10.1109/jiot.2023.3322001openalex-snapshot

Computational Efficiency Maximization for UAV-Assisted MEC Networks With Energy Harvesting in Disaster Scenarios

inferred← citeshttps://doi.org/10.1109/jiot.2023.3329869openalex-snapshot

MO-AVC: Deep-Reinforcement-Learning-Based Trajectory Control and Task Offloading in Multi-UAV-Enabled MEC Systems

inferred← citeshttps://doi.org/10.1109/jiot.2023.3336393openalex-snapshot

Extended Reality via Cooperative NOMA in Hybrid Cloud/Mobile-Edge Computing Networks

inferred← citeshttps://doi.org/10.1109/jiot.2023.3337840openalex-snapshot

Computation-Efficient Grouping, Trajectory, and Resource Allocation for UAV Swarm-Assisted Aerial–Ground Collaborative Computing Networks

inferred← citeshttps://doi.org/10.1109/jiot.2023.3341307openalex-snapshot

Distributed Machine Learning for UAV Swarms: Computing, Sensing, and Semantics

inferred← citeshttps://doi.org/10.1109/jiot.2023.3344570openalex-snapshot

Utility-Aware UAV Deployment and Task Offloading in Multi-UAV Edge Computing Networks

inferred← citeshttps://doi.org/10.1109/jiot.2024.3362321openalex-snapshot

Joint Cooperative Computation Offloading and Trajectory Optimization in Heterogeneous UAV-Swarm-Enabled Aerial Edge Computing Networks

inferred← citeshttps://doi.org/10.1109/jiot.2024.3362937openalex-snapshot

Joint Sensing, Communication, and Computation in UAV-Assisted Systems

inferred← citeshttps://doi.org/10.1109/jiot.2024.3401219openalex-snapshot

Caching on the Sky: A Multiagent Federated Reinforcement Learning Approach for UAV-Assisted Edge Caching

inferred← citeshttps://doi.org/10.1109/jiot.2024.3438946openalex-snapshot

Enhancing QoE in Large-Scale U-MEC Networks via Joint Optimization of Task Offloading and UAV Trajectories

inferred← citeshttps://doi.org/10.1109/jiot.2024.3452111openalex-snapshot

QoS-Aware Energy-Efficient Multi-UAV Offloading Ratio and Trajectory Control Algorithm in Mobile-Edge Computing

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