DRL-Based IRS-Assisted Secure Visible Light Communications

<p dir="ltr">In this paper, we develop a novel Physical Layer Security (PLS) technique for a Visible Light Communication (VLC) system composed of light fixtures assisted by mirror array sheets serving as Intelligent Reflecting Surfaces (IRS). Our objective is to optimize the Secrecy...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Danya A. Saifaldeen (19498705) (author)
مؤلفون آخرون: Bekir S. Ciftler (16904883) (author), Mohamed M. Abdallah (8476953) (author), Khalid A. Qaraqe (16904664) (author)
منشور في: 2022
الموضوعات:
الوسوم: إضافة وسم
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author Danya A. Saifaldeen (19498705)
author2 Bekir S. Ciftler (16904883)
Mohamed M. Abdallah (8476953)
Khalid A. Qaraqe (16904664)
author2_role author
author
author
author_facet Danya A. Saifaldeen (19498705)
Bekir S. Ciftler (16904883)
Mohamed M. Abdallah (8476953)
Khalid A. Qaraqe (16904664)
author_role author
dc.creator.none.fl_str_mv Danya A. Saifaldeen (19498705)
Bekir S. Ciftler (16904883)
Mohamed M. Abdallah (8476953)
Khalid A. Qaraqe (16904664)
dc.date.none.fl_str_mv 2022-05-22T15:00:00Z
dc.identifier.none.fl_str_mv 10.1109/jphot.2022.3178852
dc.relation.none.fl_str_mv https://figshare.com/articles/journal_contribution/DRL-Based_IRS-Assisted_Secure_Visible_Light_Communications/26862139
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Engineering
Communications engineering
Information and computing sciences
Machine learning
Deep reinforcement learning
intelligent reflecting surfaces
physical layer security
secrecy capacity
visible light communications
Mirrors
Visible light communication
Fixtures
Radio frequency
Receivers
Security
Optimization
dc.title.none.fl_str_mv DRL-Based IRS-Assisted Secure Visible Light Communications
dc.type.none.fl_str_mv Text
Journal contribution
info:eu-repo/semantics/publishedVersion
text
contribution to journal
description <p dir="ltr">In this paper, we develop a novel Physical Layer Security (PLS) technique for a Visible Light Communication (VLC) system composed of light fixtures assisted by mirror array sheets serving as Intelligent Reflecting Surfaces (IRS). Our objective is to optimize the Secrecy Capacity (SC) by finding the optimal beamforming (BF) weights equipped at the VLC fixtures and mirror orientations at the mirror array sheet. Due to many design parameters, including the beamforming weights, the mirror orientations, and the mobility of the users, conventional optimization techniques may not be practical to optimize the SC capacity. Therefore, we proposed a Deep Reinforcement Learning (DRL) solution based on Deep Deterministic Policy Gradient (DDPG) algorithm to solve the highly complex SC problem by adjusting the BF weights and mirror orientations. The DDPG-based algorithm provides an optimized solution that can adapt to the large size of design parameters and act fast to the channel variations due to users’ mobility. Our results show that considering both mirror array sheet and BF vectors provide the highest SC for the system. Moreover, we show the effect of changing the mirror arrangements of the mirror array sheet on SC. We conclude that for a fixed mirror array sheet size, there exists a specific mirror arrangement (i.e., number of mirrors) that optimizes the SC. After this number, the performance of SC saturates. We also show the trade-off between the training complexity and SC performance considering different mirror arrangements in the mirror array sheet.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Photonics Journal<br>License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/jphot.2022.3178852" target="_blank">https://dx.doi.org/10.1109/jphot.2022.3178852</a></p>
eu_rights_str_mv openAccess
id Manara2_538b4c2fad68bf5b47a947b191cd6a6b
identifier_str_mv 10.1109/jphot.2022.3178852
network_acronym_str Manara2
network_name_str Manara2
oai_identifier_str oai:figshare.com:article/26862139
publishDate 2022
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spelling DRL-Based IRS-Assisted Secure Visible Light CommunicationsDanya A. Saifaldeen (19498705)Bekir S. Ciftler (16904883)Mohamed M. Abdallah (8476953)Khalid A. Qaraqe (16904664)EngineeringCommunications engineeringInformation and computing sciencesMachine learningDeep reinforcement learningintelligent reflecting surfacesphysical layer securitysecrecy capacityvisible light communicationsMirrorsVisible light communicationFixturesRadio frequencyReceiversSecurityOptimization<p dir="ltr">In this paper, we develop a novel Physical Layer Security (PLS) technique for a Visible Light Communication (VLC) system composed of light fixtures assisted by mirror array sheets serving as Intelligent Reflecting Surfaces (IRS). Our objective is to optimize the Secrecy Capacity (SC) by finding the optimal beamforming (BF) weights equipped at the VLC fixtures and mirror orientations at the mirror array sheet. Due to many design parameters, including the beamforming weights, the mirror orientations, and the mobility of the users, conventional optimization techniques may not be practical to optimize the SC capacity. Therefore, we proposed a Deep Reinforcement Learning (DRL) solution based on Deep Deterministic Policy Gradient (DDPG) algorithm to solve the highly complex SC problem by adjusting the BF weights and mirror orientations. The DDPG-based algorithm provides an optimized solution that can adapt to the large size of design parameters and act fast to the channel variations due to users’ mobility. Our results show that considering both mirror array sheet and BF vectors provide the highest SC for the system. Moreover, we show the effect of changing the mirror arrangements of the mirror array sheet on SC. We conclude that for a fixed mirror array sheet size, there exists a specific mirror arrangement (i.e., number of mirrors) that optimizes the SC. After this number, the performance of SC saturates. We also show the trade-off between the training complexity and SC performance considering different mirror arrangements in the mirror array sheet.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Photonics Journal<br>License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/jphot.2022.3178852" target="_blank">https://dx.doi.org/10.1109/jphot.2022.3178852</a></p>2022-05-22T15:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1109/jphot.2022.3178852https://figshare.com/articles/journal_contribution/DRL-Based_IRS-Assisted_Secure_Visible_Light_Communications/26862139CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/268621392022-05-22T15:00:00Z
spellingShingle DRL-Based IRS-Assisted Secure Visible Light Communications
Danya A. Saifaldeen (19498705)
Engineering
Communications engineering
Information and computing sciences
Machine learning
Deep reinforcement learning
intelligent reflecting surfaces
physical layer security
secrecy capacity
visible light communications
Mirrors
Visible light communication
Fixtures
Radio frequency
Receivers
Security
Optimization
status_str publishedVersion
title DRL-Based IRS-Assisted Secure Visible Light Communications
title_full DRL-Based IRS-Assisted Secure Visible Light Communications
title_fullStr DRL-Based IRS-Assisted Secure Visible Light Communications
title_full_unstemmed DRL-Based IRS-Assisted Secure Visible Light Communications
title_short DRL-Based IRS-Assisted Secure Visible Light Communications
title_sort DRL-Based IRS-Assisted Secure Visible Light Communications
topic Engineering
Communications engineering
Information and computing sciences
Machine learning
Deep reinforcement learning
intelligent reflecting surfaces
physical layer security
secrecy capacity
visible light communications
Mirrors
Visible light communication
Fixtures
Radio frequency
Receivers
Security
Optimization