Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/142717
Title: Resource allocation for multi-user integrated visible light communication and positioning systems
Authors: Yang, Helin
Chen, Chen
Zhong, Wen-De
Alphones, Arokiaswami
Zhang, Sheng
Du, Pengfei
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2019
Source: 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
Project: SMA-RP6
Abstract: 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.
URI: https://hdl.handle.net/10356/142717
ISBN: 978-1-5386-8089-6
DOI: 10.1109/ICC.2019.8761953
Rights: © 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
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Conference Papers

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