Cargando…

Deep Q-Learning-Based Buffer-Aided Relay Selection for Reliable and Secure Communications in Two-Hop Wireless Relay Networks

This paper investigates the problem of buffer-aided relay selection to achieve reliable and secure communications in a two-hop amplify-and-forward (AF) network with an eavesdropper. Due to the fading of wireless signals and the broadcast nature of wireless channels, transmitted signals over the netw...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Cheng, Liao, Xuening, Wu, Zhenqiang, Qiu, Guoyong, Chen, Zitong, Yu, Zhiliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10220524/
https://www.ncbi.nlm.nih.gov/pubmed/37430735
http://dx.doi.org/10.3390/s23104822
_version_ 1785049238349021184
author Zhang, Cheng
Liao, Xuening
Wu, Zhenqiang
Qiu, Guoyong
Chen, Zitong
Yu, Zhiliang
author_facet Zhang, Cheng
Liao, Xuening
Wu, Zhenqiang
Qiu, Guoyong
Chen, Zitong
Yu, Zhiliang
author_sort Zhang, Cheng
collection PubMed
description This paper investigates the problem of buffer-aided relay selection to achieve reliable and secure communications in a two-hop amplify-and-forward (AF) network with an eavesdropper. Due to the fading of wireless signals and the broadcast nature of wireless channels, transmitted signals over the network may be undecodable at the receiver end or have been eavesdropped by eavesdroppers. Most available buffer-aided relay selection schemes consider either reliability or security issues in wireless communications; rarely is work conducted on both reliability and security issues. This paper proposes a buffer-aided relay selection scheme based on deep Q-learning (DQL) that considers both reliability and security. By conducting Monte Carlo simulations, we then verify the reliability and security performances of the proposed scheme in terms of the connection outage probability (COP) and secrecy outage probability (SOP), respectively. The simulation results show that two-hop wireless relay network can achieve reliable and secure communications by using our proposed scheme. We also performed comparison experiments between our proposed scheme and two benchmark schemes. The comparison results indicate that our proposed scheme outperforms the max-ratio scheme in terms of the SOP.
format Online
Article
Text
id pubmed-10220524
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-102205242023-05-28 Deep Q-Learning-Based Buffer-Aided Relay Selection for Reliable and Secure Communications in Two-Hop Wireless Relay Networks Zhang, Cheng Liao, Xuening Wu, Zhenqiang Qiu, Guoyong Chen, Zitong Yu, Zhiliang Sensors (Basel) Article This paper investigates the problem of buffer-aided relay selection to achieve reliable and secure communications in a two-hop amplify-and-forward (AF) network with an eavesdropper. Due to the fading of wireless signals and the broadcast nature of wireless channels, transmitted signals over the network may be undecodable at the receiver end or have been eavesdropped by eavesdroppers. Most available buffer-aided relay selection schemes consider either reliability or security issues in wireless communications; rarely is work conducted on both reliability and security issues. This paper proposes a buffer-aided relay selection scheme based on deep Q-learning (DQL) that considers both reliability and security. By conducting Monte Carlo simulations, we then verify the reliability and security performances of the proposed scheme in terms of the connection outage probability (COP) and secrecy outage probability (SOP), respectively. The simulation results show that two-hop wireless relay network can achieve reliable and secure communications by using our proposed scheme. We also performed comparison experiments between our proposed scheme and two benchmark schemes. The comparison results indicate that our proposed scheme outperforms the max-ratio scheme in terms of the SOP. MDPI 2023-05-17 /pmc/articles/PMC10220524/ /pubmed/37430735 http://dx.doi.org/10.3390/s23104822 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhang, Cheng
Liao, Xuening
Wu, Zhenqiang
Qiu, Guoyong
Chen, Zitong
Yu, Zhiliang
Deep Q-Learning-Based Buffer-Aided Relay Selection for Reliable and Secure Communications in Two-Hop Wireless Relay Networks
title Deep Q-Learning-Based Buffer-Aided Relay Selection for Reliable and Secure Communications in Two-Hop Wireless Relay Networks
title_full Deep Q-Learning-Based Buffer-Aided Relay Selection for Reliable and Secure Communications in Two-Hop Wireless Relay Networks
title_fullStr Deep Q-Learning-Based Buffer-Aided Relay Selection for Reliable and Secure Communications in Two-Hop Wireless Relay Networks
title_full_unstemmed Deep Q-Learning-Based Buffer-Aided Relay Selection for Reliable and Secure Communications in Two-Hop Wireless Relay Networks
title_short Deep Q-Learning-Based Buffer-Aided Relay Selection for Reliable and Secure Communications in Two-Hop Wireless Relay Networks
title_sort deep q-learning-based buffer-aided relay selection for reliable and secure communications in two-hop wireless relay networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10220524/
https://www.ncbi.nlm.nih.gov/pubmed/37430735
http://dx.doi.org/10.3390/s23104822
work_keys_str_mv AT zhangcheng deepqlearningbasedbufferaidedrelayselectionforreliableandsecurecommunicationsintwohopwirelessrelaynetworks
AT liaoxuening deepqlearningbasedbufferaidedrelayselectionforreliableandsecurecommunicationsintwohopwirelessrelaynetworks
AT wuzhenqiang deepqlearningbasedbufferaidedrelayselectionforreliableandsecurecommunicationsintwohopwirelessrelaynetworks
AT qiuguoyong deepqlearningbasedbufferaidedrelayselectionforreliableandsecurecommunicationsintwohopwirelessrelaynetworks
AT chenzitong deepqlearningbasedbufferaidedrelayselectionforreliableandsecurecommunicationsintwohopwirelessrelaynetworks
AT yuzhiliang deepqlearningbasedbufferaidedrelayselectionforreliableandsecurecommunicationsintwohopwirelessrelaynetworks