LTE集群移动性管理算法研究

发布时间：2018-04-26 05:31

本文选题：LTE切换算法 + LTE集群切换算法　；参考：《电子科技大学》2014年硕士论文

【摘要】：2013年12月4日工业和信息化部正式向三大运营商发放了4G牌照,标志着中国TD-LTE时代的到来。3GPP分别在R9和R10中定义了LTE广播组播标准,这些标准为LTE广播组播业务奠定了基础。集群在调度指挥、保密等方面的优势,使得集群通信在实际生活中发挥着重要的作用。集群通信方式与多播类似,目前LTE与集群通信相结合是集群通信领域研究的热点,本文基于国家重大专项课题“基于TD-LTE公网集群业务系统研发与验证”,重点研究LTE集群移动性管理的切换过程及其算法研究。本文研究了LTE集群的关键技术,对现有的LTE切换算法、集群切换算法进行了分类总结,比较了LTE切换算法和集群切换算法的异同,比较了LTE集群切换算法和传统的集群切换算法的异同,为后续的算法研究奠定了理论基础。LTE切换过程比较复杂,大致可以分为切换搜索、切换判决、以及切换执行。LTE集群通信“一呼百应”等特点,决定了传统的LTE切换算法将不能很好地适用于LTE集群切换场景。本文在研究LTE集群通信切换过程的基础之上设计了三个算法:基于用户离开方式的搜索算法、LTE集群切换算法以及LTE集群切换用户传输方式优化算法。基于用户离开方式的搜索算法是针对传统切换算法搜索时间TTT(Time To Tiger)采用经验值带来的问题,设计出的一种基于用户离开方式的搜索算法,此算法根据用户离开基站的不同方式,将其分为不同的紧迫等级,然后自适应的调整TTT,并通过仿真验证了此算法在自适应调节TTT方面的有效性。最后本文还分析了LTE集群用户的通信特点,阐述了此搜索算法的适用范围。LTE集群切换算法是在研究了LTE集群通信的特征以及用户特性之后,设计出的一种新型的LTE集群切换算法,此算法综合考虑了信号强度、基站负载、基站类型以及用户类型,并通过AHP算法确定了各个网络因子在话权用户和非话权用户切换决策中的作用。本文通过仿真分析了此算法的各项性能。LTE集群切换用户传输方式优化算法是在研究了PTP和SFN传输方式的频谱效率与用户数目关系之后,设计出来的一种优化算法,此算法摒弃了整个系统的资源最优化,而仅考虑目标基站的频率资源最优化。此算法能够自适应的根据UE的信噪比以及目标基站多播用户数目来决定传输方式。本文通过仿真验证了此算法在节约目标基站频率资源方面的有效性。
[Abstract]:On December 4, 2013, the Ministry of Industry and Information Technology officially issued 4G licenses to three major operators, marking the arrival of China's TD-LTE era. 3GPP defined the LTE broadcast multicast standards in R9 and R10 respectively, which laid the foundation for LTE broadcast multicast services. Cluster communication plays an important role in real life because of its advantages in command and security. The mode of trunking communication is similar to multicast. At present, the combination of LTE and trunking communication is a hot topic in the field of trunking communication. This paper is based on the project of "Research and verification of trunking service system based on TD-LTE public network". This paper focuses on the handoff process and its algorithm of LTE cluster mobility management. In this paper, the key technologies of LTE cluster are studied, the existing LTE handoff algorithms and cluster handoff algorithms are classified and summarized, and the similarities and differences between LTE handoff algorithms and cluster handoff algorithms are compared. This paper compares the similarities and differences between the LTE cluster handoff algorithm and the traditional cluster handoff algorithm, which lays a theoretical foundation for the subsequent algorithm research. It can be divided into handoff search and handoff decision, which can be divided into two parts: handoff search, handoff decision, etc. As well as the characteristics of handoff execution. LTE trunking communication and so on, it is decided that the traditional LTE handoff algorithm will not be suitable for the LTE cluster handoff scenario. On the basis of studying the handoff process of LTE trunking communication, three algorithms are designed in this paper: one is the search algorithm based on user departure and the other is the optimization algorithm of LTE cluster handoff. The search algorithm based on user departure is designed to solve the problem of TTT(Time to Tiger, a search algorithm based on user departure, which is based on the different ways of users leaving the base station. It is divided into different urgency levels, and then adaptively adjusts the TTT, and the simulation results show that the algorithm is effective in adaptive adjustment of TTT. Finally, this paper analyzes the communication characteristics of LTE cluster users, and expounds the scope of application of the search algorithm. LTE cluster handoff algorithm is after studying the characteristics of LTE cluster communication and user characteristics. A novel LTE cluster handoff algorithm is designed, which considers the signal strength, base station load, base station type and user type. The AHP algorithm is used to determine the role of each network factor in the switching decision between the right user and the non right user. This paper analyzes the performance of the algorithm by simulation. LTE cluster handoff user transmission optimization algorithm is designed after studying the relationship between spectrum efficiency and the number of users in PTP and SFN transmission mode. This algorithm discards the resource optimization of the whole system and only considers the frequency resource optimization of the target base station. The algorithm can adaptively determine the transmission mode according to the SNR of UE and the number of multicast users of the target base station. The effectiveness of this algorithm in saving the frequency resources of the target base station is verified by simulation in this paper.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN929.5

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