LTE专网系统中下行无线资源管理技术研究

发布时间：2018-02-28 05:35

本文关键词： LTE 专网无线资源管理调度资源分配　出处：《东南大学》2015年硕士论文　论文类型：学位论文

【摘要】：专网移动通信系统是为了满足行业指挥调度需求而开发的、面向行业应用的专用无线通信系统,主要用于处理诸如火灾、地震等紧急事件。随着无线移动通信技术的快速发展,专网通信系统对宽带多媒体业务的需求也日益显著,行业人员在应用专网通信系统进行指挥调度的过程中,不仅要求“听得到”,还要求“看得见”,促使专网通信系统向数据宽带化、业务多样化发展。传统的UMTS或者HSPA系统已经不能满足专网系统的要求,LIE作为3G的演进技术,通过采用OFDM、MIMO等技术,能够支持高速率多用户的多媒体业务传输,因此采用基于LTE的专网移动通信系统能够满足其所要求的业务传输要求。在无线移动通信系统中,由于无线资源的有限性、无线信道的时变性以及多用户之间的资源竞争,多用户的QoS很难得到满足,必须采用合理的无线资源管理技术。因此本文研究了基于LTE专网的下行无线资源管理技术。首先,本文介绍了专网移动通信系统的发展以及特点,并阐述了LTE专网系统的公网技术基础,包括LTE公网系统架构、MAC结构、资源调度中的时频资源结构和调度策略、QoS承载以及系统中采用的关键技术。然后,本文重点研究了LTE系统中传统的调度算法,对不同的算法进行了仿真性能分析,在此基础上研究了LTE系统中的吞吐量性能上界,并提出了一种次优化资源分配方案。该方案通过将最大系统吞吐量的整数规划问题转换为基于拉格朗日的规划问题,同时采用了次梯度法能容易地找出次优解。通过在LTE系统仿真平台上的性能分析,可以看出该算法可以很好地逼近系统吞吐量上界。最后,本文提出了一种减小LTE专网系统中下行业务传输时延的联合调度和资源分配算法。该算法充分考虑了用户业务的传输时延以及信道状态,动态计算用户的调度优先级,然后计算每个调度用户所需要的无线资源块数目,并按照调度优先级的大到小顺序依次给用户分配具体的资源。仿真结果表明,该算法在一定上程度上减少了系统中用户业务传输时延,同时提高了系统吞吐量,满足了系统传输以及用户的需要。
[Abstract]:The special network mobile communication system is developed to meet the needs of the industry command and dispatch. The special wireless communication system is mainly used to deal with emergency events such as fire and earthquake. With the rapid development of wireless mobile communication technology, The demand for broadband multimedia services in the private network communication system is also increasingly obvious. In the process of applying the private network communication system to conduct command and dispatch, It requires not only "audible", but also "visible" to promote broadband data and diversified services in private network communication systems. Traditional UMTS or HSPA systems can no longer meet the requirements of private network systems. Lie is the evolution technology of 3G. By using OFDM LTE and other technologies, it can support the transmission of multimedia services with high speed and multi-user. Therefore, the private network mobile communication system based on LTE can meet the requirements of the service transmission. In the wireless mobile communication system, Due to the limitation of wireless resources, the time-varying of wireless channel and the competition of resources among multi-users, the QoS of multi-user is difficult to satisfy. Therefore, this paper studies the downlink wireless resource management technology based on LTE private network. Firstly, this paper introduces the development and characteristics of private network mobile communication system. The technical foundation of LTE private network system is expounded, including the LTE system architecture, the time-frequency resource structure and scheduling strategy, and the key technologies used in the system. In this paper, the traditional scheduling algorithm in LTE system is studied, and the simulation performance of different algorithms is analyzed. On this basis, the upper bound of throughput performance in LTE system is studied. A suboptimal resource allocation scheme is proposed, in which the integer programming problem of maximum system throughput is transformed into a Lagrangian based programming problem. At the same time, the sub-gradient method is used to find the sub-optimal solution easily. Through the performance analysis on the LTE system simulation platform, it can be seen that the algorithm can well approach the upper bound of the system throughput. Finally, In this paper, a joint scheduling and resource allocation algorithm for reducing the transmission delay of downlink services in LTE private network systems is proposed, which takes full account of the transmission delay and channel state of user services, and dynamically calculates the scheduling priority of users. Then, the number of radio resource blocks needed for each scheduling user is calculated, and the specific resources are assigned to the user in order of scheduling priority. The simulation results show that, To some extent, this algorithm can reduce the delay of user service transmission, improve the throughput of the system, and meet the needs of the system and users.
【学位授予单位】：东南大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TN929.5

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