Power Controlled Resource Allocation and Task Offloading via Optimized Deep Reinforcement Learning in D2D Assisted Mobile Edge Computing

Power Controlled Resource Allocation and Task Offloading via Optimized Deep Reinforcement Learning in D2D Assisted Mobile Edge Computing

Device-to-device (D2D) technology enables continuous communication between devices, effectively addressing the challenge of limited bandwidth resources in 5G communication systems. However, shared resources among multiple D2D user pairs can result in significant interference. In advanced 5G networks...

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Bibliographic Details
Main Authors: Sambi Reddy Gottam, Udit Narayana Kar
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Device-to-device network
mobile-edge computing task offloading
resource allocation
human evolutionary optimization
deep reinforcement learning
Markov decision process
Online Access:https://ieeexplore.ieee.org/document/10850906/
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