基于分簇的LTE網(wǎng)絡(luò)V2V資源分配策略研究
發(fā)布時間：2018-12-30 11:35
【摘要】：近年來V2V通信越來越受到關(guān)注,被認(rèn)為是智能交通發(fā)展的關(guān)鍵技術(shù)。相對與傳統(tǒng)的車聯(lián)網(wǎng)通信,LTE網(wǎng)絡(luò)下的V2V通信不需要建立額外的路旁基礎(chǔ)設(shè)施,加上LTE大容量高效可靠技術(shù)使得LTE-V2V成為近年來車聯(lián)網(wǎng)領(lǐng)域研究的熱點。針對大規(guī)模LTE-V2V通信應(yīng)用場景下,為了更高效的對移動車輛進(jìn)行管理使用LTE資源,本文展開了在LTE網(wǎng)絡(luò)下對V2V通信資源分配的研究。主要內(nèi)容有如下幾個方面:首先,在LTE網(wǎng)絡(luò)下,可用的資源有限,然而在大規(guī)模通信場景下,通信資源使用又是一個必須要解決的問題。所以,本文首先基于分簇對車輛通信資源進(jìn)行管理,簇間資源通過空間復(fù)用提高資源的使用效率。通過分析前人的研究成果,本文設(shè)計了一種適應(yīng)車輛移動性的低開銷分簇算法,在算法中,首先定義了基于車輛運動特征的鏈路依賴度的概念,用于衡量車輛之間的移動相似性。本文設(shè)計的分簇算法不僅能很大程度上保證簇的穩(wěn)定性,而且還能大大減小簇維護(hù)開銷。在分簇的基礎(chǔ)上,V2V通信資源分配涉及到兩個階段——簇間和簇內(nèi)。簇間資源分配主要解決動態(tài)空間復(fù)用問題,本文引入著色理論,建立車輛拓?fù)鋽?shù)學(xué)模型,設(shè)計了資源動態(tài)空間復(fù)用算法。簇內(nèi)資源分配主要解決簇內(nèi)車輛通信要求。本文針對不同消息類型設(shè)計了不同的資源使用策略。對LTE幀重新規(guī)劃調(diào)度周期,在調(diào)度期內(nèi),動態(tài)調(diào)整不同消息資源占用比,周期性產(chǎn)生的beacon采用預(yù)約方式使用資源而基于事件的安全告警消息則采用競爭方式占用資源。最后,由于LTE-V2V通信的半雙工通信模式,再考慮到不同消息類型在實時性和可靠性方面有著不同要求,在分簇的拓?fù)浣Y(jié)構(gòu)上,本文設(shè)計了利用eNodeB輔助策略高效可靠地傳輸消息,尤其是告警信息。并結(jié)合簇內(nèi)資源調(diào)度策略,通過仿真驗證,本文采用方案不僅能保證安全告警消息的實時性,還能可靠地保證告警消息的覆蓋率。
[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.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TN929.5
本文編號：2395528
[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.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TN929.5
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