Research on Resource Allocation Algorithm for Non-Orthogonal Multiple Access Visible Light Communication

In order to satisfy the large-scale access of visible light communication (VLC) users, as well as the demand for user request rate, the resource allocation problem of visible light communication with drone-assisted non-orthogonal multiple access (NOMA) technique is investigated. An efficient scheme...

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Main Authors: Jingyuan Liang, Mingzhi Pang, Xizheng Ke
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Photonics
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Online Access:https://www.mdpi.com/2304-6732/11/11/1042
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author Jingyuan Liang
Mingzhi Pang
Xizheng Ke
author_facet Jingyuan Liang
Mingzhi Pang
Xizheng Ke
author_sort Jingyuan Liang
collection DOAJ
description In order to satisfy the large-scale access of visible light communication (VLC) users, as well as the demand for user request rate, the resource allocation problem of visible light communication with drone-assisted non-orthogonal multiple access (NOMA) technique is investigated. An efficient scheme for joint optimization of power allocation and access point (AP) location is proposed. According to the state of user channel information, a user pairing strategy with uniform channel gain difference for any number of users is designed, and an objective function of maximizing the average user data rate with constraints is constructed. For this non-convex NP-hard problem, the optimization problem with constraints is transformed into an optimization problem without constraints by introducing the idea of a penalty function and then solved by the Harris Hawk Optimization (HHO) algorithm based on the nonlinear energy convergence factor, and ultimately, the optimal user power allocation factor, as well as the location of the AP, are found. The simulation results show that the scheme in this paper can improve the average user data rate better compared to other classical schemes. The system performance of the HHO algorithm is improved by about 20.31% compared to the Particle Swarm Optimization (PSO) algorithm. The HHO algorithm based on the nonlinear energy convergence factor improves the convergence speed by about 50% compared to the classical HHO algorithm.
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spelling doaj-art-eac677667e134f9d8d69f9c3ed832db92024-11-26T18:18:22ZengMDPI AGPhotonics2304-67322024-11-011111104210.3390/photonics11111042Research on Resource Allocation Algorithm for Non-Orthogonal Multiple Access Visible Light CommunicationJingyuan Liang0Mingzhi Pang1Xizheng Ke2Faculty of Automation and Information Engineering, Xi’an University of Technology, Xi’an 710048, ChinaFaculty of Automation and Information Engineering, Xi’an University of Technology, Xi’an 710048, ChinaFaculty of Automation and Information Engineering, Xi’an University of Technology, Xi’an 710048, ChinaIn order to satisfy the large-scale access of visible light communication (VLC) users, as well as the demand for user request rate, the resource allocation problem of visible light communication with drone-assisted non-orthogonal multiple access (NOMA) technique is investigated. An efficient scheme for joint optimization of power allocation and access point (AP) location is proposed. According to the state of user channel information, a user pairing strategy with uniform channel gain difference for any number of users is designed, and an objective function of maximizing the average user data rate with constraints is constructed. For this non-convex NP-hard problem, the optimization problem with constraints is transformed into an optimization problem without constraints by introducing the idea of a penalty function and then solved by the Harris Hawk Optimization (HHO) algorithm based on the nonlinear energy convergence factor, and ultimately, the optimal user power allocation factor, as well as the location of the AP, are found. The simulation results show that the scheme in this paper can improve the average user data rate better compared to other classical schemes. The system performance of the HHO algorithm is improved by about 20.31% compared to the Particle Swarm Optimization (PSO) algorithm. The HHO algorithm based on the nonlinear energy convergence factor improves the convergence speed by about 50% compared to the classical HHO algorithm.https://www.mdpi.com/2304-6732/11/11/1042visible light communicationnon-orthogonal multiple accessdrone-assistedHarris hawk optimization algorithmaverage user data rate
spellingShingle Jingyuan Liang
Mingzhi Pang
Xizheng Ke
Research on Resource Allocation Algorithm for Non-Orthogonal Multiple Access Visible Light Communication
Photonics
visible light communication
non-orthogonal multiple access
drone-assisted
Harris hawk optimization algorithm
average user data rate
title Research on Resource Allocation Algorithm for Non-Orthogonal Multiple Access Visible Light Communication
title_full Research on Resource Allocation Algorithm for Non-Orthogonal Multiple Access Visible Light Communication
title_fullStr Research on Resource Allocation Algorithm for Non-Orthogonal Multiple Access Visible Light Communication
title_full_unstemmed Research on Resource Allocation Algorithm for Non-Orthogonal Multiple Access Visible Light Communication
title_short Research on Resource Allocation Algorithm for Non-Orthogonal Multiple Access Visible Light Communication
title_sort research on resource allocation algorithm for non orthogonal multiple access visible light communication
topic visible light communication
non-orthogonal multiple access
drone-assisted
Harris hawk optimization algorithm
average user data rate
url https://www.mdpi.com/2304-6732/11/11/1042
work_keys_str_mv AT jingyuanliang researchonresourceallocationalgorithmfornonorthogonalmultipleaccessvisiblelightcommunication
AT mingzhipang researchonresourceallocationalgorithmfornonorthogonalmultipleaccessvisiblelightcommunication
AT xizhengke researchonresourceallocationalgorithmfornonorthogonalmultipleaccessvisiblelightcommunication