Joint Lifetime-Outage Optimization in Relay-Enabled IoT Networks—A Deep Reinforcement Learning Approach-Reference-Cited by-同舟云学术

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Joint Lifetime-Outage Optimization in Relay-Enabled IoT Networks—A Deep Reinforcement Learning Approach

Published:2023-01 Issue:1 Volume:27 Page:190-194
ISSN:1089-7798
Container-title:IEEE Communications Letters
language:
Short-container-title:IEEE Commun. Lett.

Author:

Heidarpour Ali Reza¹^ORCID,Heidarpour Mohammad Reza²^ORCID,Ardakani Masoud¹^ORCID,Tellambura Chintha¹^ORCID,Uysal Murat³^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada

2. Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, Iran

3. Department of Electrical and Electronics Engineering, Özye˘gin University, Istanbul, Turkey

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Modeling and Simulation

Link

http://xplorestaging.ieee.org/ielx7/4234/10008392/09916580.pdf?arnumber=9916580

Reference13 articles.

1. Single and multiple relay selection schemes and their achievable diversity orders

2. Effect of Feedback Delay on Amplify-and-Forward Relay Networks With Beamforming

3. Deep Reinforcement Learning with Double Q-Learning

4. Relaying in the Internet of Things (IoT): A Survey

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