University of Oulu

W. J. Yun et al., "Attention-based Reinforcement Learning for Real-Time UAV Semantic Communication," 2021 17th International Symposium on Wireless Communication Systems (ISWCS), 2021, pp. 1-6, doi: 10.1109/ISWCS49558.2021.9562230

Attention-based reinforcement learning for real-time UAV semantic communication

Saved in:
Author: Yun, Won Joon1; Lim, Byungju1; Jung, Soyi1;
Organizations: 1School of Electrical Engineering, Korea University, Seoul 02841, Korea
2School of Information Technology, Deakin University, Geelong, VIC 3220, Australia
3Centre for Wireless Communications, University of Oulu, Oulu 90014, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.9 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2022032124247
Language: English
Published: Institute of Electrical and Electronics Engineers, 2021
Publish Date: 2022-03-21
Description:

Abstract

In this article, we study the problem of air-to-ground ultra-reliable and low-latency communication (URLLC) for a moving ground user. This is done by controlling multiple unmanned aerial vehicles (UAVs) in real time while avoiding inter-UAV collisions. To this end, we propose a novel multiagent deep reinforcement learning (MADRL) framework, coined a graph attention exchange network (GAXNet). In GAXNet, each UAV constructs an attention graph locally measuring the level of attention to its neighboring UAVs, while exchanging the attention weights with other UAVs so as to reduce the attention mismatch between them. Simulation results corroborates that GAXNet achieves up to 4.5x higher rewards during training. At execution, without incurring inter-UAV collisions, G2ANet improves reliability of air-to-ground network in terms of latency and error rate.

see all

Series: International Symposium on Wireless Communication Systems
ISSN: 2154-0217
ISSN-E: 2154-0225
ISSN-L: 2154-0217
ISBN: 978-1-7281-7432-7
ISBN Print: 978-1-7281-7433-4
Pages: 1 - 6
Article number: 9562230
DOI: 10.1109/ISWCS49558.2021.9562230
OADOI: https://oadoi.org/10.1109/ISWCS49558.2021.9562230
Host publication: 17th International Symposium on Wireless Communication Systems, ISWCS 2021
Conference: International Symposium on Wireless Communication Systems
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Subjects:
Funding: This research was supported by Institute for Information & Communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (No.2018-0-00170, Virtual Presence in Moving Objects through 5G.
Copyright information: © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.