Coordinated Resource Allocation-Based Integrated Visible Light Communication and Positioning Systems for Indoor IoT
| Autor: | Xianzhong Xie, Chen Chen, Pengfei Du, Arokiaswami Alphones, Wen-De Zhong, Helin Yang, Sheng Zhang |
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| Přispěvatelé: | School of Electrical and Electronic Engineering, Agency for Science, Technology and Research, Singapore Institute of Manufacturing Technology |
| Rok vydání: | 2020 |
| Předmět: |
Visible Light Communication and Positioning
Computer science business.industry Applied Mathematics Distributed computing Internet of Things Visible light communication 020206 networking & telecommunications 02 engineering and technology Subcarrier Computer Science Applications Smart grid Smart city Electrical and electronic engineering [Engineering] 0202 electrical engineering electronic engineering information engineering Wireless Resource allocation Resource management Electrical and Electronic Engineering business |
| Zdroj: | IEEE Transactions on Wireless Communications. 19:4671-4684 |
| ISSN: | 1558-2248 1536-1276 |
| DOI: | 10.1109/twc.2020.2986109 |
| Popis: | With the rapid development of Internet of Things (IoT) in the smart city, smart grid and smart industry, indoor communication and positioning are important fields of applications for indoor IoT. This paper presents an integrated visible light communication and positioning (VLCP) system for indoor IoT, in order to provide the high-speed data rate and high-accuracy positioning for IoT devices. where the filter bank multicarrier-based subcarrier multiplexing (FBMCSCM) technique is exploited to effectively reduce the out-ofband interference (OOBI) on both adjacent communication and positioning subcarriers. After that, we propose a coordinated resource allocation approach for the system with the purpose of maximizing the sum rate while guaranteeing the minimum data rates and positioning accuracy requirements of devices. To this end, 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 verify the superiority in performance of the presented integrated VLCP system for indoor IoT, and the results also reveal that the proposed coordinated resource allocation approach can effectively improve the sum rate and the positioning accuracy compared with other resource allocation approaches. Accepted version |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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