Quantum Deep Reinforcement Learning for Dynamic Resource Allocation in Mobile Edge Computing-based IoT Systems-Reference-Cited by-同舟云学术

Quantum Deep Reinforcement Learning for Dynamic Resource Allocation in Mobile Edge Computing-based IoT Systems

Published:2023 Issue: Volume: Page:1-1
ISSN:1536-1276
Container-title:IEEE Transactions on Wireless Communications
language:
Short-container-title:IEEE Trans. Wireless Commun.

Author:

Ansere James Adu¹^ORCID,Gyamfi Eric²^ORCID,Sharma Vishal³^ORCID,Shin Hyundong⁴^ORCID,Dobre Octavia A.⁵^ORCID,Duong Trung Q.³^ORCID

Affiliation:

1. Department of Electrical and Electronic Engineering, Sunyani Technical University, Ghana

2. School of Computer Science, University College Dublin, Ireland

3. School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, Belfast, UK

4. Department of Electronics and Information Convergence Engineering, Kyung Hee University, 1732 Deogyeong-daero, Giheunggu, Yongin-si, Gyeonggi-do, Korea

5. Faculty of Engineering and Applied Science, Memorial University, Canada

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications

Link

http://xplorestaging.ieee.org/ielx7/7693/4656680/10318071.pdf?arnumber=10318071

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