车联网异构无线网络联合资源管理研究

Internet of Vehicles (IoV) is an essential componnet of the Intelligent Transport System (ITS), which has been listed as one of the most important fields to be constructed during the "12th Five Year Plan"of both China and Guangdong provience. However, as a typical heterogeneous wireless network, IoV faces significant chanllenge currently. The network heterogenity and the limited computation and storage resources of vehicular devices are the key prblem that dramatically influences the system capacity, Quality of Service and security of IoV. The project is motivated to address this problem. By leveraging the advance technologies of wireless communications and mobile computing, we aim to propose a new network architecture and optimal joint resource mangement schemes for IoV. Specifically, we will study: (1) Cognitive and cooperative based network architecture for IoV (2) Cooperative spectrum sensing and distributed spectrum map in cognitive IoV (3) Joint specturm management of hetergeneous wireless resource in IoV (4) Model and mechanism of mobile cloud for IoV In the project, we will keep tight contact with the local ITS department and the related enterprises in Guangdong as well. Therefore, the theoretical results of the project will be extendable and applicable for the real construction of ITS in Guangdong provience.

车联网是智能交通系统的核心组成部分，是十二五期间国家和广东省的重点建设领域。然而，目前车联网的发展面临着严峻挑战。车联网是一个典型的异构无线网络。无线资源的异构性、节点计算和存储资源的有限性成为严重制约车联网传输容量、服务质量和隐私安全的瓶颈问题。本项目以资源认知与协同管理为核心思想，结合无线通信、移动计算领域的最新理论方法，旨在提出车联网新型体系架构及联合资源管理方案，有效促进车联网无线资源高效利用、节点资源智能配置、车载服务安全可靠。项目主要研究内容包括： （1）基于认知协同的车联网层次化网络体系架构； （2）车联网异构无线资源多域认知机理与方法； （3）车联网异构无线资源联合频谱管理机制与方法； （4）车联网移动云服务资源管理模型与方法。 本项目以广东省大力建设智能交通为契机，项目组将与地方交通部门和企业保持密切交流，以有效促使项目理论研究成果转化应用，切实服务于交通行业。

车联网是智能交通系统的核心组成部分，是十二五/十三五期间国家和广东省的重点建设领域。车联网无线资源的异构性、节点计算和存储资源的有限性成为严重制约车联网传输容量、服务质量和 隐私安全的瓶颈问题。本项目以资源认知与协同管理为核心思想，结合无线通信、移动计算领域的最新理论方法，包括5G蜂窝移动通信网络、软件定义网络、能源互联网等，研究并提出了面向车联网移动计算环境的新型网络架构及联合资源管理方案。项目成果有利于促进车联网无线资源高效利用、节点资源智能配置、车载服务安全可靠。项目在学术论文、知识产权等理论成果的基础上，研制了面向智能交通的车联网移动云原型系统，并选取城际大巴路线开展了试点运行，得到了乘客广泛好评，取得了良好的社会效益。