基于增强加权质心定位的认知物联网用户频谱接入控制

申滨; 李银波; 梁枭伟

doi:10.11959/j.issn.2096-3750.2023.00312

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基于增强加权质心定位的认知物联网用户频谱接入控制

理论与技术 | 更新时间：2024-08-16

- 基于增强加权质心定位的认知物联网用户频谱接入控制
- Spectrum access control for cognitive internet of things users based on enhanced weighted centroid localization
- 物联网学报 2023年7卷第1期页码：93-108
- 作者机构：
- 作者简介：
  
  [ "申滨（1978− ），男，博士，重庆邮电大学教授，主要研究方向为下一代移动通信系统、LTE/LTE-Advanced系统、认知无线电系统等领域的信号处理理论与技术等" ]
  [ "李银波（1998− ），男，重庆邮电大学通信与信息工程学院硕士生，主要研究方向为基于无线定位算法的位置服务应用" ]
  [ "梁枭伟（1997− ），男，重庆邮电大学通信与信息工程学院硕士生，主要研究方向为基于无线定位算法的位置服务应用" ]
- 基金信息：
  
  国家自然科学基金项目(62071078)
- DOI：10.11959/j.issn.2096-3750.2023.00312
  中图分类号： TN929.5
- 纸质出版日期：2023-03-30，
  
  网络出版日期：2023-03，
- 稿件说明：
移动端阅览
申滨, 李银波, 梁枭伟. 基于增强加权质心定位的认知物联网用户频谱接入控制[J]. 物联网学报, 2023,7(1):93-108.

BIN SHEN, YINBO LI, XIAOWEI LIANG. Spectrum access control for cognitive internet of things users based on enhanced weighted centroid localization. [J]. Chinese journal on internet of things, 2023, 7(1): 93-108.
申滨, 李银波, 梁枭伟. 基于增强加权质心定位的认知物联网用户频谱接入控制[J]. 物联网学报, 2023,7(1):93-108. DOI： 10.11959/j.issn.2096-3750.2023.00312.

BIN SHEN, YINBO LI, XIAOWEI LIANG. Spectrum access control for cognitive internet of things users based on enhanced weighted centroid localization. [J]. Chinese journal on internet of things, 2023, 7(1): 93-108. DOI： 10.11959/j.issn.2096-3750.2023.00312.

摘要

在认知物联网（CIoT

cognitive internet of things）中，由于主用户（PU

primary user）与次级用户（SU

secondary user）之间的非合作特性，单独依靠传统的频谱感知技术判断频谱接入机会存在一定的不可靠性。作为一种重要的辅助信息，PU与SU之间的相互位置信息可以协助判断授权频谱的二次接入可能性。提出了一种低复杂度的基于相邻关系的加权质心定位（NB-WCL

neighbor-based weighted centroid localization）算法，通过解决CIoT中 SU 的定位问题，从而完成 CIoT 中各个地理位置上是否能够进行频谱接入的决策。在理论层面分析了二维位置估计的均方根误差（RMSE

root mean square error）性能，通过仿真验证了通信半径、节点密集度、阴影影响、路径损失、连通性度量值以及发送数据次数等因素对于算法性能的影响。理论推导与实验结果表明，相对于传统的定位算法，所提方案为 CIoT 中的 SU 定位算法提供了更为强健和良好的定位误差性能，能够有效地增强认知物联网中用户频谱接入的可靠性。该方案可以作为认知物联网中的一种高效实用的定位感知方案。

Abstract

In the cognitive internet of things (CIoT)

due to the non-cooperative characteristics between the primary user (PU) and the secondary user (SU)

it is unreliable to seek the spectrum access opportunity by merely relying on traditional spectrum sensing technology.As an important type of auxiliary information

the mutual location information between PU and SU can assist in determining the possibility of secondary access to the licensed frequency band (LFB).A low-complexity neighbor-based weighted centroid localization (NB-WCL) algorithm was proposed to solve the localization problem of SUs in CIoT

so as to complete the decision of whether spectrum access can be performed at each geographical location in CIoT.The root mean square root error (RMSE) performance of two-dimensional position estimation was analyzed and the impacts of factors were verified such as communication radius

node density

shadowing influence

path loss exponent

connectivity metric

and the number of data transmitted on the algorithm performance in simulations.The theoretical derivation and experimental results show that the proposed scheme provides more robust and better localization error performance for the SU localization algorithm in CIoT than the traditional localization algorithms

which can effectively enhance the reliability of CIoT for spectrum access.The proposed scheme can serve as a practically effective candidate solution in the CIoT.

关键词

加权质心定位认知物联网相邻关系性能分析频谱接入

Keywords

weighted centroid localizationcognitive internet of thingsneighbor relationshipperformance analysisspectrum access

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