A Deep Learning Approach for Task Offloading in Multi-UAV Aided Mobile Edge Computing
Author:
Affiliation:
1. Computer and Systems Engineering Department, Faculty of Engineering, Ain Shams University, Cairo, Egypt
2. Electrical Engineering Department, Faculty of Engineering, The British University in Egypt (BUE), El-Sherouk, Cairo, Egypt
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09899418.pdf?arnumber=9899418
Reference47 articles.
1. Tasks scheduling and resource allocation in heterogeneous cloud for delay-bounded mobile edge computing
2. Computation offloading optimization for UAV-assisted mobile edge computing: a deep deterministic policy gradient approach
3. Data quality-aware task offloading in Mobile Edge Computing: An Optimal Stopping Theory approach
4. Enhanced resource allocation in mobile edge computing using reinforcement learning based MOACO algorithm for IIOT
5. Cooperative Offloading and Resource Management for UAV-Enabled Mobile Edge Computing in Power IoT System
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