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多小区协作大规模MIMO系统的能效优化

时间:2022-11-23 22:07来源:毕业论文
针对多小区协作大规模MIMO下行系统中基于能效最优的资源分配问题进行了研究。假定采用基站完全协作的方式,并采用迫零(ZF)接收的情况下,建立以系统能效最大化为目标函数的模
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摘要减少通信系统的能量消耗一直是降低运营商的成本和改善环境的关键问题。绿色通信提出把能量效率视为一项用于评估通信系统的重要指标。因此如何提高通信系统的能量效率受到越来越多的学者关注。协作多点传输由于有多个接入点的参与,通过有效的功率控制,可以节省各个接入点上的功率输出,减少系统总功率消耗,进而提高整个系统的功率效率。而MIMO技术能够用比单天线系统更低的发射功率,达到相同的数据传输速率,因此也是降低通信系统能效的技术之一。考虑到目前通信系统中存在的问题以及未来通信产业的发展要求,本文将大规模MIMO技术以及协作通信技术相结合,来对系统的能效性能进行优化研究。86209

本文针对多小区协作大规模MIMO下行系统中基于能效最优的资源分配问题进行了研究。假定采用基站完全协作的方式,并采用迫零(ZF)接收的情况下,建立以系统能效最大化为目标函数的模型,通过采用分数规划的性质,把分数形式的能效函数转换为减数形式,研究一种资源分配算法,实现系统能效最大。并通过系统能效函数与用户数、基站天线数之间关系的MATLAB仿真,验证所研究算法的有效性和优越性。

毕业论文关键词:大规模MIMO;协作通信;能效;资源分配

Abstract   Reducing the energy consumption of the communication system is the key issue of reducing operator costs and improving environment。 Green Communications proposed to reduce the energy consumption of communication networks as an important indicator for the assessment of the communication system。 So how to improve the energy efficiency of the communication system has obtained more and more scholars concerning。 Coordinated multi-point transmission due to the involvement of multiple access points, through effective power control, the power output can be saved for each access point, reducing overall system power consumption, thereby increasing the efficiency of the entire power system。 The MIMO technology can use much lower transmit power than single antenna system to achieve the same data transmission rate, which is one of the technologies to reduce the energy efficiency of the communication system。 Considered the current communication system problems and requirements for the future development of the communications industry, this paper will combine a large-scale MIMO technology and cooperative communication technology, to study energy efficiency optimization of the system performance。

In this paper,we studied multi-cell cooperative large-scale MIMO system  downlink resource allocation based on optimal energy efficiency。 Supposing that the base station fully collaborative and use zero forcing receiver (ZF) case。We have established a model of maximizing system energy efficiency。By adopting the character of fractional programming to convert the fractional energy efficiency function to the form of the reduction。Researching a resource allocation algorithm to achieve maximum system efficiency。The energy efficiency optimization function verified by MATLAB simulation,which is based on the relationship between the energy efficiency function and the number of users and the number of base station antennas。

keywords: Large-scale MIMO ;Cooperative Communication;Energy Efficiency(EE);Resource Allocation

目录

第一章 绪论 1

1。1课题研究的背景及意义 1

1。2国内外研究现状 2

1。3 本论文的主要工作及章节安排 2

第二章 大规模MIMO技术 4

    2。1大规模MIMO技术介绍 多小区协作大规模MIMO系统的能效优化:http://www.youerw.com/tongxin/lunwen_102406.html

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