A Deep Reinforcement Learning Approach for Joint Task Offloading, Caching, and User Association in Mobile Edge Computing

Tasnia Ashrafi Heya; Sayed Erfan Arefin

doi:10.1109/fmec65595.2025.11119361

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JOURNAL ARTICLE

A Deep Reinforcement Learning Approach for Joint Task Offloading, Caching, and User Association in Mobile Edge Computing

Tasnia Ashrafi Heya Sayed Erfan Arefin

Year: 2025 Pages: 16-23

DOI: 10.1109/fmec65595.2025.11119361

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Keywords:

Computer science Reinforcement learning Task (project management) Mobile edge computing Human–computer interaction Joint (building) Edge computing Association (psychology) Enhanced Data Rates for GSM Evolution Mobile computing Distributed computing Artificial intelligence Computer network Engineering

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0.34

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Topics

IoT and Edge/Fog Computing

Physical Sciences → Computer Science → Computer Networks and Communications

Age of Information Optimization

Physical Sciences → Computer Science → Computer Networks and Communications

Caching and Content Delivery

Physical Sciences → Computer Science → Computer Networks and Communications

A Deep Reinforcement Learning Approach for Joint Task Offloading, Caching, and User Association in Mobile Edge Computing

Metrics

Topics

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