Resource allocation for multi-user integrated visible light communication and positioning systems

In this paper, we firstly propose a joint subcarrier and power allocation approach for multi-user integrated visible light communication and positioning (VLCP) systems in the presence of practical unique optical constraints. The purpose of the proposed resource allocation approach is to maximize the...

Full description

Saved in:
Bibliographic Details
Main Authors: Yang, Helin, Chen, Chen, Zhong, Wen-De, Alphones, Arokiaswami, Zhang, Sheng, Du, Pengfei
Other Authors: School of Electrical and Electronic Engineering
Format: Conference or Workshop Item
Language:English
Published: 2020
Subjects:
Online Access:https://hdl.handle.net/10356/142717
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-142717
record_format dspace
spelling sg-ntu-dr.10356-1427172020-06-30T05:14:03Z Resource allocation for multi-user integrated visible light communication and positioning systems Yang, Helin Chen, Chen Zhong, Wen-De Alphones, Arokiaswami Zhang, Sheng Du, Pengfei School of Electrical and Electronic Engineering 2019 IEEE International Conference on Communications (ICC 2019) Engineering::Electrical and electronic engineering Visible Light Communication and Positioning Power Allocation In this paper, we firstly propose a joint subcarrier and power allocation approach for multi-user integrated visible light communication and positioning (VLCP) systems in the presence of practical unique optical constraints. The purpose of the proposed resource allocation approach is to maximize the sum rate of users and meanwhile guarantee the different minimum data rates and positioning accuracy requirements of users. Then, we solve the optimization problem by decomposing it into two subproblems, where a low-complexity suboptimal subcarrier allocation approach is proposed and the sequential quadratic programming (SQP) method is adopted to solve the non-linearly constrained power allocation optimization problem. Numerical results show that the proposed resource allocation approach can effectively improve the sum rate and the positioning accuracy of users compared with other resource allocation approaches. Accepted version 2020-06-29T02:39:11Z 2020-06-29T02:39:11Z 2019 Conference Paper Yang, H., Chen, C., Zhong, W.-D., Alphones, A., Zhang, S., & Du, P. (2019). Resource allocation for multi-user integrated visible light communication and positioning systems. Proceedings of 2019 IEEE International Conference on Communications (ICC 2019). doi:10.1109/ICC.2019.8761953 978-1-5386-8089-6 https://hdl.handle.net/10356/142717 10.1109/ICC.2019.8761953 en SMA-RP6 © 2019 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. The published version is available at: https://doi.org/10.1109/ICC.2019.8761953 application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
Visible Light Communication and Positioning
Power Allocation
spellingShingle Engineering::Electrical and electronic engineering
Visible Light Communication and Positioning
Power Allocation
Yang, Helin
Chen, Chen
Zhong, Wen-De
Alphones, Arokiaswami
Zhang, Sheng
Du, Pengfei
Resource allocation for multi-user integrated visible light communication and positioning systems
description In this paper, we firstly propose a joint subcarrier and power allocation approach for multi-user integrated visible light communication and positioning (VLCP) systems in the presence of practical unique optical constraints. The purpose of the proposed resource allocation approach is to maximize the sum rate of users and meanwhile guarantee the different minimum data rates and positioning accuracy requirements of users. Then, we solve the optimization problem by decomposing it into two subproblems, where a low-complexity suboptimal subcarrier allocation approach is proposed and the sequential quadratic programming (SQP) method is adopted to solve the non-linearly constrained power allocation optimization problem. Numerical results show that the proposed resource allocation approach can effectively improve the sum rate and the positioning accuracy of users compared with other resource allocation approaches.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Yang, Helin
Chen, Chen
Zhong, Wen-De
Alphones, Arokiaswami
Zhang, Sheng
Du, Pengfei
format Conference or Workshop Item
author Yang, Helin
Chen, Chen
Zhong, Wen-De
Alphones, Arokiaswami
Zhang, Sheng
Du, Pengfei
author_sort Yang, Helin
title Resource allocation for multi-user integrated visible light communication and positioning systems
title_short Resource allocation for multi-user integrated visible light communication and positioning systems
title_full Resource allocation for multi-user integrated visible light communication and positioning systems
title_fullStr Resource allocation for multi-user integrated visible light communication and positioning systems
title_full_unstemmed Resource allocation for multi-user integrated visible light communication and positioning systems
title_sort resource allocation for multi-user integrated visible light communication and positioning systems
publishDate 2020
url https://hdl.handle.net/10356/142717
_version_ 1681057998828470272