Optimizing Energy Efficiency in UAV-Assisted Networks Using Deep Reinforcement Learning-Reference-Cited by-同舟云学术

Optimizing Energy Efficiency in UAV-Assisted Networks Using Deep Reinforcement Learning

Published:2022-08 Issue:8 Volume:11 Page:1590-1594
ISSN:2162-2337
Container-title:IEEE Wireless Communications Letters
language:
Short-container-title:IEEE Wireless Commun. Lett.

Author:

Omoniwa Babatunji¹^ORCID,Galkin Boris¹^ORCID,Dusparic Ivana¹^ORCID

Affiliation:

1. CONNECT Centre, School of Computer Science and Statistics, Trinity College Dublin, Dublin 2, Ireland

Funder

Science Foundation Ireland

National Natural Science Foundation of China (NSFC) through the SFI-NSFC Partnership Programme

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/5962382/9852353/09757149.pdf?arnumber=9757149

Reference16 articles.

1. Multi-agent deep reinforcement learning for optimising energy efficiency of fixed-wing UAV cellular access points;galkin;Proc IEEE Int Conf Commun,2022

2. Deployment of UAV-mounted access points according to spatial user locations in two-tier cellular networks

3. A survey of mobility models for ad hoc network research

4. Energy Minimization for Wireless Communication With Rotary-Wing UAV

5. Joint 3D Deployment and Power Allocation for UAV-BS: A Deep Reinforcement Learning Approach

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