Coordinated Resource Allocation-Based Integrated Visible Light Communication and Positioning Systems for Indoor IoT
Coordinated Resource Allocation-Based Integrated Visible Light Communication and Positioning Systems for Indoor IoT
复制标题
基于协调资源分配的室内物联网集成可见光通信和定位系统
DOI：
10.1109/twc.2020.2986109
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发表时间：
2020-07-01
影响因子：
10.4
通讯作者：
Xie, Xianzhong
中科院分区：
文献类型：
--
作者：
Yang, Helin;Zhong, Wen-De;Xie, Xianzhong
随着物联网在智慧城市、智能电网和智慧产业中的快速发展，室内通信和定位是室内物联网的重要应用领域。本文提出了一种用于室内物联网的集成可见光通信和定位（VLCP）系统，以提供物联网设备的高速数据速率和高精度定位。其中利用滤波器组基于多载波的子载波复用（FBMC-SCM）技术来有效地减少相邻通信和定位子载波上的带外干扰（OOBI）。在此之后，我们提出了一个协调的资源分配方法的系统的目的是最大化的总和速率，同时保证最低的数据速率和设备的定位精度要求。为此，我们解决的优化问题分解成两个子问题，其中一个低复杂度的次优子载波分配方法，提出了采用序列二次规划（SQP）方法来解决非线性约束的功率分配优化问题。数值结果验证了所提出的室内物联网集成VLCP系统性能的优越性，并且与其他资源分配方法相比，所提出的协调资源分配方法可以有效地提高和速率和定位精度。
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 (FBMC-SCM) technique is exploited to effectively reduce the out-of-band 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.