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LTE-A异构网络中小区选择与重选算法研究

发布时间:2018-10-09 16:15
【摘要】:LTE作为第三代移动通信之后的阶段性变革,以OFDM和MIMO作为其无线网络演进的核心技术。为了实现ITU对IMT-Advanced各项指标的规定,3GPP开启了对LTE的后向兼容性演进过程,如载波聚合、协作多点传输和增强型小区间干扰协调等关键技术,这些统称为LTE-A。移动终端成功地选择服务小区并驻留是蜂窝移动通信网络向终端用户提供业务服务的前提,所以小区选择与重选对通信系统的意义非常重要。2009年9月3GPP在LTE-A的标准化过程中提出了异构网络技术,自此LTE-A异构网络成为现阶段的一个研究热点。异构网络由于引入的低功率节点的发射功率远低于宏基站,导致低功率节点覆盖区域很小,选择低功率节点的用户数量也很少,因而小区分裂增益未能实现最大化。围绕扩展低功率节点的覆盖区域和提高用户选择低功率节点的优先级这个目标,在3GPP会议研究与讨论中,一些增强型的LTE-A异构网络小区选择与重选算法相继被提出,而高通公司提出的RE算法是研究和讨论最多的算法。为了扩大LTE-A异构网络中低功率节点的覆盖区域进而提升用户选择低功率节点的优先级,最终实现低功率节点对宏基站的业务分流和提升网络性能的目标,本文提出两种增强型小区选择与重选算法。这些算法避免了传统的小区选择与重选算法选择具有最强参考信号接收功率的小区作为服务小区,而是选择一个既能保证自身信号质量同时又对其它小区产生很小干扰的小区。通过搭建系统仿真平台对本文所提算法进行系统级仿真,首先将基于SINR队列小区选择与重选算法与传统的小区选择与重选算法进行系统性能仿真比较,在此基础上,将基于干扰对齐的小区选择算法与基于SINR队列的小区选择算法进行了仿真比较。仿真结果显示,提出的基于SINR队列小区选择与重选算法和基于干扰对齐的小区选择算法均能扩大低功率节点的覆盖区域,提升用户选择低功率节点的优先级,而且在系统增益方面,SINR队列算法实现了与RE算法非常接近的同时,有效避免了RE算法存在的多数问题,如bias取值没有统一的标准以及bias增加使低功率节点覆盖区域中用户的SINR趋于恶化;从仿真结果还可以看出,基于干扰对齐小区选择算法对系统性能增益要比基于SINR队列小区选择算法提高45%左右。基于SINR队列小区选择算法和基于干扰对齐的小区选择算法配合相应的小区间干扰协调技术在提升系统吞吐量的同时,也有效地提升了小区边缘用户吞吐量。
[Abstract]:LTE, as a phase change after the third generation mobile communication, takes OFDM and MIMO as the core technology of its wireless network evolution. In order to realize the specification of IMT-Advanced by ITU, 3GPP has opened the evolution process of backward compatibility to LTE, such as carrier aggregation, cooperative multipoint transmission and enhanced inter-cell interference coordination, which are collectively called LTE-A.. The successful selection and residence of a serving cell by a mobile terminal is a prerequisite for a cellular mobile communication network to provide a service to the end user. Therefore, cell selection and reselection are very important to communication system. In September 2009, 3GPP proposed heterogeneous network technology in the process of LTE-A standardization. Since then, LTE-A heterogeneous network has become a research hotspot at present. Because the transmission power of the low power node introduced in the heterogeneous network is much lower than that of the base station, the coverage area of the low power node is very small and the number of users who choose the low power node is very small, so the cell splitting gain can not be maximized. With the goal of extending the coverage of low power nodes and improving the priority of users to select low power nodes, in the research and discussion of 3GPP conference, some enhanced cell selection and reselection algorithms for LTE-A heterogeneous networks have been proposed one after another. The RE algorithm proposed by Qualcomm is the most studied and discussed algorithm. In order to expand the coverage area of low power nodes in LTE-A heterogeneous networks and enhance the priority of users to select low power nodes, the goal of low power nodes to divert traffic to Acer stations and improve network performance is finally realized. In this paper, two enhanced cell selection and reselection algorithms are proposed. These algorithms avoid the traditional cell selection and reselection algorithm to select the cell with the strongest reference signal received power as the serving cell, but choose a cell that can guarantee the quality of its own signal and produce little interference to other cells. By building a system simulation platform for system-level simulation, the system performance of cell selection and reselection algorithm based on SINR queue is compared with that of traditional cell selection and reselection algorithm. The cell selection algorithm based on interference alignment is compared with the cell selection algorithm based on SINR queue. Simulation results show that both the proposed cell selection and reselection algorithm based on SINR queue and the cell selection algorithm based on interference alignment can expand the coverage of low-power nodes and enhance the priority of users to select low-power nodes. Moreover, in the aspect of system gain, SINR queue algorithm is very close to RE algorithm, and effectively avoids most of the problems existing in RE algorithm. For example, there is no uniform standard for bias values and the increase of bias makes the SINR of users in the low power node coverage area worse. The performance gain of the cell selection algorithm based on interference alignment is about 45% higher than that of the cell selection algorithm based on SINR queue. The cell selection algorithm based on SINR queue and the cell selection algorithm based on interference alignment are combined with the corresponding inter-cell interference coordination technology to improve the system throughput and the cell edge user throughput.
【学位授予单位】:西安邮电大学
【学位级别】:硕士
【学位授予年份】:2015
【分类号】:TN929.5

【参考文献】

相关期刊论文 前3条

1 陈继勋;李美艳;;LTE-A关键技术探讨[J];广东通信技术;2011年04期

2 阴亚芳;李锋;;LTE小区选择和重选的分析与研究[J];邮电设计技术;2013年08期

3 谢龙;张欣;曹亘;杨大成;;异构网络增强型小区间干扰协调技术研究[J];移动通信;2012年10期



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