Energy-Efficient Communication Networks via Multiple Aerial Reconfigurable Intelligent Surfaces: DRL and Optimization Approach-Reference-Cited by-同舟云学术

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Energy-Efficient Communication Networks via Multiple Aerial Reconfigurable Intelligent Surfaces: DRL and Optimization Approach

Published:2023 Issue: Volume: Page:1-16
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Aung Pyae Sone¹^ORCID,Park Yu Min¹^ORCID,Tun Yan Kyaw²^ORCID,Han Zhu³^ORCID,Hong Choong Seon¹^ORCID

Affiliation:

1. Department of Computer Science and Engineering, Kyung Hee University, Yongin-si, Gyeonggi-do, Rep. of Korea

2. Department of Electronic Systems, Aalborg University, A. C. Meyers Vænge, København, Denmark

3. Electrical and Computer Engineering Department, University of Houston, Houston, TX, USA

Funder

National Research Foundation of Korea

Korea government

Institute of Information and Communications Technology Planning and Evaluation

Korea Government

Artificial Intelligence Convergence Innovation Human Resources Development

Evolvable Deep Learning Model Generation Platform for Edge Computing)

MSIT

ITRC

IITP

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/25/4356907/10301685.pdf?arnumber=10301685

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4. Advancing wireless system secrecy performance via aerial intelligent reflecting surfaces amid hardware impairments;AEU - International Journal of Electronics and Communications;2024-05

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