基于分簇的LTE网络V2V资源分配策略研究

发布时间：2018-12-30 11:35

【摘要】：近年来V2V通信越来越受到关注,被认为是智能交通发展的关键技术。相对与传统的车联网通信,LTE网络下的V2V通信不需要建立额外的路旁基础设施,加上LTE大容量高效可靠技术使得LTE-V2V成为近年来车联网领域研究的热点。针对大规模LTE-V2V通信应用场景下,为了更高效的对移动车辆进行管理使用LTE资源,本文展开了在LTE网络下对V2V通信资源分配的研究。主要内容有如下几个方面:首先,在LTE网络下,可用的资源有限,然而在大规模通信场景下,通信资源使用又是一个必须要解决的问题。所以,本文首先基于分簇对车辆通信资源进行管理,簇间资源通过空间复用提高资源的使用效率。通过分析前人的研究成果,本文设计了一种适应车辆移动性的低开销分簇算法,在算法中,首先定义了基于车辆运动特征的链路依赖度的概念,用于衡量车辆之间的移动相似性。本文设计的分簇算法不仅能很大程度上保证簇的稳定性,而且还能大大减小簇维护开销。在分簇的基础上,V2V通信资源分配涉及到两个阶段——簇间和簇内。簇间资源分配主要解决动态空间复用问题,本文引入着色理论,建立车辆拓扑数学模型,设计了资源动态空间复用算法。簇内资源分配主要解决簇内车辆通信要求。本文针对不同消息类型设计了不同的资源使用策略。对LTE帧重新规划调度周期,在调度期内,动态调整不同消息资源占用比,周期性产生的beacon采用预约方式使用资源而基于事件的安全告警消息则采用竞争方式占用资源。最后,由于LTE-V2V通信的半双工通信模式,再考虑到不同消息类型在实时性和可靠性方面有着不同要求,在分簇的拓扑结构上,本文设计了利用eNodeB辅助策略高效可靠地传输消息,尤其是告警信息。并结合簇内资源调度策略,通过仿真验证,本文采用方案不仅能保证安全告警消息的实时性,还能可靠地保证告警消息的覆盖率。
[Abstract]:In recent years, V2V communication has attracted more and more attention and is regarded as the key technology of intelligent transportation development. Compared with the traditional vehicle network communication, the V2V communication under LTE network does not need to build additional roadside infrastructure, and the large capacity, high efficiency and reliability technology of LTE makes LTE-V2V become a hot research topic in the field of vehicle networking in recent years. In order to manage mobile vehicles more efficiently and use LTE resources in large-scale LTE-V2V communication applications, this paper studies the allocation of V2V communication resources under LTE network. The main contents are as follows: firstly, in LTE network, the available resources are limited, but in the large-scale communication scenario, the use of communication resources is a problem that must be solved. Therefore, this paper first manages the vehicle communication resources based on clustering, which improves the efficiency of resource utilization through spatial reuse. By analyzing the previous research results, this paper designs a low overhead clustering algorithm for vehicle mobility. In the algorithm, the concept of link dependence based on vehicle motion feature is first defined. Used to measure movement similarity between vehicles. The clustering algorithm designed in this paper can not only guarantee the stability of the cluster to a great extent, but also greatly reduce the maintenance cost of the cluster. On the basis of clustering, the allocation of V2V communication resources involves two phases: inter-cluster and intra-cluster. Resource allocation among clusters mainly solves the problem of dynamic spatial reuse. This paper introduces coloring theory, establishes a mathematical model of vehicle topology, and designs an algorithm for dynamic spatial reuse of resources. Resource allocation in the cluster mainly solves the communication requirements of vehicles in the cluster. This paper designs different resource usage strategies for different message types. For the LTE frame replanning scheduling cycle, during the scheduling period, different message resource occupancy ratios are dynamically adjusted. The periodically generated beacon uses the reservation mode to use the resources, while the event-based security alarm messages occupy the resources in a competitive manner. Finally, due to the half-duplex communication mode of LTE-V2V communication, considering that different message types have different requirements in real-time and reliability, the clustering topology is proposed. In this paper, eNodeB assistant strategy is designed to transmit message efficiently and reliably, especially alarm information. Combined with the intra-cluster resource scheduling strategy and simulation verification, the scheme can not only ensure the real-time of the security alarm message, but also reliably guarantee the coverage of the alarm message.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN929.5

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