基于LTE的D2D通信信道接入控制策略研究
本文选题:LTE + 通信模式选择 ; 参考:《电子科技大学》2016年硕士论文
【摘要】:随着智能手机的普及,业务数据量也有了爆炸式的增长,对现有的LTE通信网络提出了新的要求。另一方面,基于地理位置等类型的新型服务逐渐兴起。新的业务类型,如车辆间通信也逐渐开始部署。为了应对这些新的趋势,LTE R12版本也开始考虑在LTE蜂窝网中引入D2D直连通信解决方案,借此来为用户设备提供较高的数据传输速率、低时延、较低的能量消耗。然而,要进行D2D直连通信,相应的资源分配与通信模式选择是亟待解决的关键问题。本文提出了一种新的通信模式选择方法以及一种新的D2D资源分配方法,并在NS3仿真平台上对D2D直连通信系统仿真模型进行了设计与实现。本文所提出的模式选择方法综合考虑了D2D直连通信链路的信道质量以及蜂窝移动通信资源和D2D直连通信资源的使用情况等因素,以求将有限的通信资源尽可能的分配给信道质量较高的直连通信链路,进而最大化系统的数据传输速率与频谱利用率。在本文所提出的D2D资源分配方法中,原有的LTE蜂窝通信与新加入的D2D直连通信之间不进行资源复用。LTE系统为D2D直连通信预留一部分资源,来供D2D直连通信使用,这些资源与LTE通信资源相互正交,因此D2D直连通信与蜂窝通信之间不存在干扰。本文所提的D2D资源分配方法,允许D2D直连通信链路间进行资源复用。在进行资源分配时,以最大化频谱效率为标准,针对新的D2D直连通信链路,首先考虑复用已被分配的资源,如果无法复用已被分配的资源,再对其分配新的资源。另外,本论文所提的资源分配方法,允许一个UE同时存在多条D2D直连通信链路,且允许D2D直连通信与蜂窝通信同时存在。除此之外,本文基于NS3仿真平台的LTE模块,对D2D直连通信系统仿真模型进行了设计与实现。在本文实现的D2D直连通信系统仿真模型基础之上,对本文所提出的D2D模式选择方法和资源分配方法进行了仿真,仿真结果展示了不同参数配置下的小区通信性能。仿真结果表明,在LTE蜂窝网中加入D2D直连通信能够有效的提升小区的频谱效率及吞吐量,与现有的通信模式选择方法及D2D资源分配方法相比,本文所提出的算法具有更好的性能。
[Abstract]:With the popularity of smart phones, the amount of business data has explosive growth, which puts forward new requirements for the existing LTE communication network. On the other hand, new types of services, such as geographical location, are emerging. New business types, such as inter-vehicle communications, are also gradually being deployed. In order to cope with these new trends, LTE R12 has also begun to consider introducing D2D direct communication solutions to LTE cellular networks to provide higher data transmission rate, lower delay and lower energy consumption for user devices. However, for D2D direct communication, resource allocation and communication mode selection are the key problems to be solved. In this paper, a new communication mode selection method and a new D2D resource allocation method are proposed, and the simulation model of D2D direct communication system is designed and implemented on NS3 simulation platform. The proposed mode selection method takes into account the channel quality of D2D direct communication link and the usage of cellular mobile communication resources and D2D direct link communication resources. In order to maximize the data transmission rate and spectral efficiency of the system, the limited communication resources can be allocated to the channel quality direct communication link as much as possible. In the D2D resource allocation method proposed in this paper, there is no resource reuse between the original LTE cellular communication and the newly added D2D direct communication. The LTE system reserves some resources for D2D direct communication to be used for D2D direct communication. These resources are orthogonal to LTE communication resources, so there is no interference between D2D direct communication and cellular communication. The D2D resource allocation method proposed in this paper allows for resource reuse between D2D direct communication links. For the new D2D direct communication link, in order to maximize spectrum efficiency in resource allocation, the first consideration is to reuse the allocated resources. If the allocated resources cannot be reused, new resources are allocated to the D2D direct communication link. In addition, the resource allocation method proposed in this paper allows one UE to have multiple D2D direct communication links at the same time, and allows D2D direct communication to exist simultaneously with cellular communication. In addition, the simulation model of D2D direct communication system is designed and implemented based on LTE module of NS3 simulation platform. Based on the D2D direct communication system simulation model implemented in this paper, the D2D mode selection method and resource allocation method proposed in this paper are simulated. The simulation results show the cell communication performance under different configuration parameters. The simulation results show that adding D2D direct communication to LTE cellular network can effectively improve the cell spectrum efficiency and throughput, compared with the existing communication mode selection methods and D2D resource allocation methods. The proposed algorithm has better performance.
【学位授予单位】:电子科技大学
【学位级别】:硕士
【学位授予年份】:2016
【分类号】:TN929.5
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