密集小区的无线资源管理问题研究

发布时间：2018-01-17 21:13

本文关键词：密集小区的无线资源管理问题研究　出处：《东南大学》2016年硕士论文　论文类型：学位论文

【摘要】：无线密集网络是第五代移动通信系统(5G)的典型架构。网络的密集化带来了更加复杂的干扰问题。随着交通工具中移动设备的增加,提高交通系统中通信质量及满足用户在速率、时延、稳定性等方面体验成为备受关注的问题。密集无线网络需要高效的无线资源管理(Radio Resource Management, RRM)技术来动态控制并管理无线资源,解决复杂的干扰问题,提高系统吞吐量和用户满意度。本文主要对密集网络中的无线资源管理进行深入研究,分别从资源调度、功率控制和功率分配三方面对密集网络进行性能优化,论文的主要研究内容和研究成果包括以下几个方面：(一)针对移动交通工具用户和普通用户共存的移动网络场景,为提高移动网络通信质量以及有效平衡系统吞吐量和用户公平性,考虑移动交通工具中的激活用户数,分别对现有的比例公平和最大权重时延优先调度算法进行了改进,并提出了一种基于时延效用函数的资源调度算法。仿真研究了改进的比例公平、改进的MLWDF和基于时延效用函数的资源调度算法的性能。结果表明所提的方案兼顾了系统吞吐量性能和用户公平性,其中基于时延效用函数的调度算法体现了较高的用户公平性,改进的比例公平和改进的最大权重时延优先调度算法具有相近的、优于基于时延效用函数方法的吞吐量性能。(二)参考3GPP的下行功率控制方法,针对密集网络场景,提出了一种基于优先级分组的改进功率控制算法,既保护宏用户,又保证Small Cell用户的最低速率要求。研究结果表明,该算法能在保证Small Cell用户尽可能低的中断概率前提下,进一步降低小小区基站发射功率,减少基站与邻基站之间的干扰,提升系统用户通信质量。(三)提出了一种基于用户公平性的自适应功率分配算法,并简化了求解过程。该算法考虑了用户最低SINR的要求,在满足每个用户最低信干噪比及小小区最大发射功率的约束条件下,最大化小小区系统容量。研究发现,提出的算法在牺牲少量系统吞吐量的前提下,极大的保证了小小区用户的公平性,降低了中断概率。
[Abstract]:Wireless dense network is a typical architecture of the fifth generation mobile communication system (5G). The density of the network brings more complex interference problems. With the increase of mobile devices in vehicles. Improve the communication quality and meet the user rate and delay in the traffic system. Stability and other aspects of the experience have become a matter of great concern. Dense wireless networks require efficient radio resource management (RRM) radio Resource Management. RRM technology is used to dynamically control and manage wireless resources, solve complex interference problems, improve system throughput and user satisfaction. The performance of the dense network is optimized from three aspects: resource scheduling, power control and power allocation. The main research contents and research results include the following aspects: (1) the mobile network scene where mobile vehicle users and ordinary users coexist. In order to improve the communication quality of mobile network and effectively balance system throughput and user fairness, the number of active users in mobile vehicles is considered. The existing proportional fairness and maximum weight delay first scheduling algorithms are improved, and a resource scheduling algorithm based on delay utility function is proposed. The performance of improved MLWDF and resource scheduling algorithm based on delay utility function. The results show that the proposed scheme takes into account the system throughput performance and user fairness. Among them, the scheduling algorithm based on delay utility function reflects the higher user fairness, the improved proportional fairness and the improved maximum weight delay first scheduling algorithm have similar. It is better than the throughput performance based on delay utility function method. (2) reference 3GPP downlink power control method. For the dense network scenario, an improved power control algorithm based on priority grouping is proposed. It not only protects macro users, but also guarantees the minimum rate requirement of Small Cell users. The research results show that the algorithm can guarantee the lowest outage probability of Small Cell users as low as possible. Further reduce the transmission power of small cell base station, reduce the interference between base station and neighboring base station, improve the quality of system user communication. (3) propose an adaptive power allocation algorithm based on user fairness. The algorithm takes into account the requirements of the user's minimum SINR and satisfies the constraints of the minimum signal-to-noise ratio of each user and the maximum transmit power of a small cell. It is found that the proposed algorithm can greatly guarantee the fairness of small cell users and reduce the outage probability at the expense of a small number of system throughput.
【学位授予单位】：东南大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TN929.5

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