基于LTE的基站休眠算法研究

发布时间：2018-05-19 17:06

本文选题：LTE + 节能　；参考：《宁夏大学》2017年硕士论文

【摘要】：以目前的网络架构,移动通信系统能源的80%被无线接入网消耗,而其中以基站侧占最大比例,基站休眠模式是基站节能最有效最便捷的措施,是提高网络能效的一种很有前景的策略,也是现在绿色通信的研究焦点。其主要思想就是当基站处于低负荷期不影响网络需求时将其关闭以减少能量消耗。不同的休眠策略,根本目的就是为了在不影响业务需求的基础上使更多的基站处于休眠状态,从而降低能耗。本文基于有关基站休眠模式的研究成果,给出了改进的基站休眠算法,并对比分析了其性能。本文首先介绍了论文的研究背景以及国内外有关能效的研究现状。然后通过对LTE两大关键技术——OFDM和MIMO研究和仿真,为后面的学习研究夯实基础。对于基站休眠模式,建立了休眠模式的能耗模型,为使尽可能多的基站进入休眠模式,提出了改进的蚁群算法,在基站状态初始化阶段,使每个基站的用户数和相邻基站数加权得到初始化阈值,再对每个基站状态初始化,给出了完整的算法流程,仿真结果表明该改进算法较传统的分布式算法在性能上表现优良。最后,为了避免休眠算法运行过程中造成基站频繁开闭,本文又提出了基于对数增长的休眠窗口期算法并对算法性能建立了数学模型,在与经典的三种休眠窗口期算法的比较中,该算法在平均等待时间方面有明显改进,在平均能量消耗方面也有优势。
[Abstract]:With the current network architecture, 80% of the energy of the mobile communication system is consumed by the wireless access network, among which the base station side accounts for the largest proportion. The base station dormancy mode is the most effective and convenient measure for the base station to save energy. It is a promising strategy to improve network energy efficiency, and is also the focus of green communication research. The main idea is to shut down the base station during low load period to reduce energy consumption. The fundamental purpose of different sleep strategies is to reduce energy consumption by enabling more base stations to remain dormant without affecting business requirements. Based on the research results of base station sleep mode, an improved base station sleep algorithm is presented and its performance is compared and analyzed. Firstly, this paper introduces the background of this paper and the current situation of energy efficiency research at home and abroad. Then, the research and simulation of LTE and MIMO are carried out to lay a solid foundation for the later study. For the sleep mode of base station, the energy consumption model of sleep mode is established. In order to make as many base stations enter sleep mode as possible, an improved ant colony algorithm is proposed to initialize the state of the base station. The initialization threshold is obtained by weighting the number of users and the number of adjacent base stations of each base station, and then the state of each base station is initialized, and the complete algorithm flow is given. The simulation results show that the improved algorithm performs better than the traditional distributed algorithm. Finally, in order to avoid the frequent opening and closing of the base station during the running process of the sleep algorithm, this paper proposes a sleep window period algorithm based on logarithmic growth and establishes a mathematical model for the performance of the algorithm. Compared with the three classical dormant window period algorithms, the algorithm has obvious improvement in the average waiting time, and also has the advantage in the average energy consumption.
【学位授予单位】：宁夏大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN929.5

【参考文献】