Published July 1, 2023 | Version v1
Journal Open

A comprehensive survey on reinforcement-learning-based computation offloading techniques in Edge Computing Systems

Description

This paper presents a comprehensive and detailed survey, where we analyse and classify the research papers in terms of use cases, network and edge computing architectures, objectives, RL algorithms, decision-making approaches, and time-varying characteristics considered in some scenarios, particularly on those related to the computation offloading problem in edge systems.

Files

1-s2.0-S1084804523000887-main.pdf

Files (2.6 MB)

Name Size Download all
md5:9fe16c1df026c2a59accb3447e785085
2.6 MB Preview Download