Deep Reinforcement Learning offloading for Computation Cost Minimization of Wireless Powered Mobile Edge Computing

Hang Yu; Jun Yang

doi:10.1145/3677404.3677405

ScienceGate Book Chapters

JOURNAL ARTICLE

Deep Reinforcement Learning offloading for Computation Cost Minimization of Wireless Powered Mobile Edge Computing

Hang Yu Jun Yang

Year: 2024 Pages: 1-8

DOI: 10.1145/3677404.3677405

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Mobile edge computing Reinforcement learning Computation offloading Wireless Minification Computation Edge computing Enhanced Data Rates for GSM Evolution Artificial intelligence Distributed computing Telecommunications Algorithm

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.14

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

IoT and Edge/Fog Computing

Physical Sciences → Computer Science → Computer Networks and Communications

Energy Harvesting in Wireless Networks

Physical Sciences → Engineering → Electrical and Electronic Engineering

Advanced Wireless Communication Technologies

Physical Sciences → Engineering → Electrical and Electronic Engineering

Deep Reinforcement Learning offloading for Computation Cost Minimization of Wireless Powered Mobile Edge Computing

Metrics

Topics

Related Documents

Deep Reinforcement Learning for Online Computation Offloading in Wireless Powered Mobile-Edge Computing Networks

Enhancing Computation Offloading In Wireless-Powered Mobile-Edge Computing Networks With Deep Reinforcement Learning For Online Optimization

Delay Optimization for Wireless Powered Mobile Edge Computing with Computation Offloading via Deep Learning

Wireless Powered Mobile Edge Computing: Offloading Or Local Computation?

Deep Reinforcement Learning Empowers Wireless Powered Mobile Edge Computing: Towards Energy-Aware Online Offloading