动态时空数据驱动的认知车联网频谱感知与共享技术研究

郭彩丽; 陈九九; 宣一荻; 张荷

doi:10.11959/j.issn.2096-3750.2020.00178

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动态时空数据驱动的认知车联网频谱感知与共享技术研究

专题：智慧交通物联网 | 更新时间：2024-06-05

- 动态时空数据驱动的认知车联网频谱感知与共享技术研究
- Research on the spectrum sensing and sharing technology in the dynamic spatiotemporal data driven cognitive Internet of vehicles
- 物联网学报 2020年4卷第3期页码：96-105
- 作者机构：
  
  1. 北京邮电大学，北京 100876
  2. 先进信息网络北京实验室，北京 100876
- 作者简介：
  
  [ "郭彩丽（1977- ），女，山西长治人，博士，北京邮电大学教授，主要研究方向为认知无线电、车联网、视觉智能计算等" ]
  [ "陈九九（1994- ），男，湖南岳阳人，北京邮电大学博士生，主要研究方向为车联网、通信与计算资源联合优化等" ]
  [ "宣一荻（1995- ），女，天津人，北京邮电大学硕士生，主要研究方向为认知无线电、频谱共享等" ]
  [ "张荷（1995- ），女，山东淄博人，北京邮电大学硕士生，主要研究方向为认知无线电、频谱感知等" ]
- 基金信息：
  
  北京市自然科学基金资助项目;The Beijing Natural Science Foundation(4202049);国家重点研发计划;The National Key R＆D Program of China(2018YFB1800805)
- DOI：10.11959/j.issn.2096-3750.2020.00178
  中图分类号： TN92
- 纸质出版日期：2020-09-30，
  
  网络出版日期：2020-09，
- 稿件说明：
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郭彩丽, 陈九九, 宣一荻, 等. 动态时空数据驱动的认知车联网频谱感知与共享技术研究[J]. 物联网学报, 2020,4(3):96-105.

CAILI GUO, JIUJIU CHEN, YIDI XUAN, et al. Research on the spectrum sensing and sharing technology in the dynamic spatiotemporal data driven cognitive Internet of vehicles. [J]. Chinese journal on internet of things, 2020, 4(3): 96-105.
郭彩丽, 陈九九, 宣一荻, 等. 动态时空数据驱动的认知车联网频谱感知与共享技术研究[J]. 物联网学报, 2020,4(3):96-105. DOI： 10.11959/j.issn.2096-3750.2020.00178.

CAILI GUO, JIUJIU CHEN, YIDI XUAN, et al. Research on the spectrum sensing and sharing technology in the dynamic spatiotemporal data driven cognitive Internet of vehicles. [J]. Chinese journal on internet of things, 2020, 4(3): 96-105. DOI： 10.11959/j.issn.2096-3750.2020.00178.

摘要

随着全球汽车产业智能化和网联化的爆发式发展，作为车联网重要支撑的通信技术面临着频谱资源紧缺的难题。除了提供安全服务以外，车联网服务需求的多样性使得引入认知无线电技术成为有效的解决途径，可以实现与授权用户共享sub-6 GHz和毫米波的异质频谱资源，但车联网复杂动态变化环境的影响使得频谱利用率性能的提升受限。提出了充分利用潜在的多源动态时空数据挖掘和学习车辆轨迹、交通流的变化规律的方法，并利用其规律指导频谱的感知和共享。通过搭建系统级仿真平台进行仿真分析，结果表明所提方案的频谱效率得到有效提升。

Abstract

With the explosive development of the intellectualization and network connection of the global automobile industry

the communication technology as a crucial support of the Internet of vehicles (IoV) is facing the problem of spectrum shortage.In addition to providing security services

the diverse service demands of the IoV make the introduction of the cognitive radio technology an effective solution

which can share heterogeneous spectrum resources integrating the sub-6 GHz and millimeter-wave spectrum resources with primary users.But the performance is limited due to the influence of the complex dynamic environment of the IoV.To address this issue

a novelty method was proposed which aimed to make full use of the potential multi-source dynamic spatiotemporal data

mine and learn the changing rules of the vehicle trajectory and traffic flow

and the rules were used to guide the sensing and sharing of the spectrum resource.The system-level simulation platform was built for simulation analysis

the results showed that the performance of the proposed scheme was effectively improved.

关键词

车联网动态时空数据异质频谱共享多服务的服务质量要求

Keywords

Internet of vehiclesdynamic spatiotemporal dataheterogeneous spectrum sharingmulti-service quality of service requirement

references

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