LTE-A系统多天线关键技术研究
发布时间：2018-08-01 10:51
【摘要】：多输入多输出(Multiple Input Multiple Output,MIMO)技术作为LTE-A(Long Term Evolution-Advanced)系统的关键技术之一,极大的提升了系统传输速率及系统容量。在LTE-A系统,上行采用虚拟天线(Virtual-MIMO,V-MIMO)技术可有效地提升系统的天线利用率,下行采用9种MIMO传输模式可适应不同的多天线应用场景,下行基站协作传输技术则是解决LTE-A系统小区边缘吞吐量瓶颈的重要多天线技术。本文聚焦LTE-A系统,围绕其多天线关键技术进行研究,详细解读3GPP R10规范的LTE-A系统传输协议,分别针对LTE-A系统下行各传输模式、上行V-MIMO多用户配对算法、下行基站协作传输技术展开研究工作。第一章首先阐述LTE-A系统的需求及其核心多天线技术涉及的上下行关键传输技术。分析LTE-A系统上行多用户配对,下行各传输模式、协同多点传输及多天线干扰抑制的研究成果,从而引出研究内容,最后介绍论文的逻辑结构。第二章介绍LTE-A系统下行传输协议,详细分析了3GPP R10协议的帧结构以及收/发端中的各模块。研究了从发送端的传输块大小确定、CRC校验、码块分割、Turbo编码、速率匹配、码块级联、加扰、调制、层映射、预编码、资源映射、OFDM调制到接收端处理的完整过程,为后续LTE-A系统的多天线MIMO技术研究提供了基础。第三章研究LTE-A系统下行各传输模式的容量上限,从香农理论容量上界及LTE-A系统实际吞吐量两个角度出发,分别研究了下行链路中9种不同的传输模式的MIMO吞吐性能。从分析和仿真的结果可见,开环模式较闭环模式性能略差,但当信噪比增大到一定程度时,两者区别不再明显;传输模式8因采用双流波束赋形,其容量约为传输模式7的两倍。从结果来看,香农容量给出理论上界是所有系统追求的目标,但实际可达吞吐量上限才能真正为企业产品化、后续各类算法优化等工作的性能提供上限参考。第四章研究上行V-MIMO多天线配对方案。首先介绍上行多用户配对的基本概念及系统模型;其次研究了首用户调度准则,除传统的轮询与比例公平算法外,深入研究最大载干比及SINR门限算法,将其引入首用户调度准则中;紧接着对次用户配对准则进行了研究,如:随机配对、相关性正交配对、施密特正交配对、行列式配对、可控行列式配对、分组随机配对、分组可调公平配对等;最后通过计算机仿真,分析各方案的性能,结果表明以SINR门限选取首用户,按行列式配对准则配对的用户容量有很大提升,最接近于全局搜索配对性能。第五章研究具有较高能效的基站协作传输干扰抑制方案。首先分析能量效率的定义,并给出本文中各算法能量效率的评估方案;其次提出一种基于盲干扰对齐的基站协作抑制小区边缘干扰的传输算法。该算法通过发送端预先设定的天线切换模式将干扰对齐到发送信号之外的空间,根据该方法可在没有反馈链路的情况下有效消除干扰,在保证系统性能的基础上,大大降低传统基站协作传输的反馈量,同时能效也得以提升。第六章总结本论文所涉及的研究工作,并指出下一步的研究工作与方向。
[Abstract]:As one of the key technologies of LTE-A (Long Term Evolution-Advanced) system, the Multiple Input Multiple Output (MIMO) technology greatly improves the system transmission rate and system capacity. In the LTE-A system, the virtual antenna (Virtual-MIMO, V-MIMO) technology can effectively improve the utilization of the system antenna, downlink. 9 MIMO transmission modes can be used to adapt to different multi antenna application scenarios. The downlink base station cooperative transmission technology is an important multi antenna technology to solve the bottleneck of the cell edge throughput of the LTE-A system. This paper focuses on the LTE-A system, studies the key technologies of the multi antenna, and details the LTE-A system transmission protocol of the 3GPP R10 specification, respectively. According to the transmission modes of the LTE-A system downlink, the uplink V-MIMO multi user pairing algorithm, the downlink base station cooperative transmission technology, the first chapter describes the requirement of the LTE-A system and the key transmission technology involved in the core multi antenna technology. It analyzes the multi user pairing of the uplink of the LTE-A system, the downlink transmission modes, and the synergy. The research results of point transmission and multi antenna interference suppression lead to the research content, and finally introduce the logical structure of the paper. The second chapter introduces the LTE-A system downlink transmission protocol, analyzes the frame structure of the 3GPP R10 protocol and each module in the receiving / sending end, and studies the size of the transmission block, CRC check, block partition, Turb from the transmitter. O coding, rate matching, block concatenation, scrambling, modulation, layer mapping, precoding, resource mapping, OFDM modulation to receiving end processing, provides the basis for the study of multi antenna MIMO technology in the subsequent LTE-A system. The third chapter studies the upper limit of the capacity of each transmission mode in the LTE-A system, from the Shannon theory capacity upper bound and the LTE-A system practice. The throughput performance of 9 different transmission modes in the downlink is studied in two angles. From the analysis and simulation results, it is shown that the open loop mode is slightly worse than the closed loop mode, but when the signal to noise ratio increases to a certain extent, the difference between the two is no longer obvious; the transmission mode 8 uses double flow beamforming, and its capacity is approximately equal to two. The transmission mode is two times as high as 7. From the results, the Shannon capacity gives the theoretical upper bounds as the goal of all systems, but the actual throughput ceiling can really provide the upper limit of the performance of the enterprise and the performance of all kinds of algorithm optimization. In the fourth chapter, the upper V-MIMO multi antenna pairing scheme is studied. First, the uplink multi user is introduced. The basic concept and system model of pairing; secondly, the first user scheduling criterion is studied. In addition to the traditional polling and proportional fairness algorithm, the maximum load ratio and SINR threshold algorithm are deeply studied and introduced into the first user scheduling criteria, and then the secondary user matching criteria are studied, such as random pairing, correlation orthogonal matching, Schmidt. Orthogonal pairing, determinant pairing, controllable determinant pairing, grouping random pairing, group adjustable fair pairing and so on. Finally, the performance of each scheme is analyzed by computer simulation. The results show that the user capacity of the first user is selected by the SINR threshold, and the user capacity according to the determinant pairing criterion is greatly improved. The fifth chapter is the closest to the performance of the global search pairing. In this paper, we study the interference suppression scheme of the cooperative transmission of the base station with high efficiency. Firstly, the definition of energy efficiency is analyzed, and the evaluation scheme of the energy efficiency of the algorithms in this paper is given. Secondly, a transmission algorithm for the cell edge interference suppression based on the blind interference alignment is proposed. The model aligns the interference to the space outside the sending signal. According to this method, the interference can be eliminated effectively without the feedback link. On the basis of the system performance, the feedback amount of the traditional base station cooperative transmission is greatly reduced and the energy efficiency can be improved. The sixth chapter is the research work involved in this paper, and points out the next one. The research work and direction of the step.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN929.5
[Abstract]:As one of the key technologies of LTE-A (Long Term Evolution-Advanced) system, the Multiple Input Multiple Output (MIMO) technology greatly improves the system transmission rate and system capacity. In the LTE-A system, the virtual antenna (Virtual-MIMO, V-MIMO) technology can effectively improve the utilization of the system antenna, downlink. 9 MIMO transmission modes can be used to adapt to different multi antenna application scenarios. The downlink base station cooperative transmission technology is an important multi antenna technology to solve the bottleneck of the cell edge throughput of the LTE-A system. This paper focuses on the LTE-A system, studies the key technologies of the multi antenna, and details the LTE-A system transmission protocol of the 3GPP R10 specification, respectively. According to the transmission modes of the LTE-A system downlink, the uplink V-MIMO multi user pairing algorithm, the downlink base station cooperative transmission technology, the first chapter describes the requirement of the LTE-A system and the key transmission technology involved in the core multi antenna technology. It analyzes the multi user pairing of the uplink of the LTE-A system, the downlink transmission modes, and the synergy. The research results of point transmission and multi antenna interference suppression lead to the research content, and finally introduce the logical structure of the paper. The second chapter introduces the LTE-A system downlink transmission protocol, analyzes the frame structure of the 3GPP R10 protocol and each module in the receiving / sending end, and studies the size of the transmission block, CRC check, block partition, Turb from the transmitter. O coding, rate matching, block concatenation, scrambling, modulation, layer mapping, precoding, resource mapping, OFDM modulation to receiving end processing, provides the basis for the study of multi antenna MIMO technology in the subsequent LTE-A system. The third chapter studies the upper limit of the capacity of each transmission mode in the LTE-A system, from the Shannon theory capacity upper bound and the LTE-A system practice. The throughput performance of 9 different transmission modes in the downlink is studied in two angles. From the analysis and simulation results, it is shown that the open loop mode is slightly worse than the closed loop mode, but when the signal to noise ratio increases to a certain extent, the difference between the two is no longer obvious; the transmission mode 8 uses double flow beamforming, and its capacity is approximately equal to two. The transmission mode is two times as high as 7. From the results, the Shannon capacity gives the theoretical upper bounds as the goal of all systems, but the actual throughput ceiling can really provide the upper limit of the performance of the enterprise and the performance of all kinds of algorithm optimization. In the fourth chapter, the upper V-MIMO multi antenna pairing scheme is studied. First, the uplink multi user is introduced. The basic concept and system model of pairing; secondly, the first user scheduling criterion is studied. In addition to the traditional polling and proportional fairness algorithm, the maximum load ratio and SINR threshold algorithm are deeply studied and introduced into the first user scheduling criteria, and then the secondary user matching criteria are studied, such as random pairing, correlation orthogonal matching, Schmidt. Orthogonal pairing, determinant pairing, controllable determinant pairing, grouping random pairing, group adjustable fair pairing and so on. Finally, the performance of each scheme is analyzed by computer simulation. The results show that the user capacity of the first user is selected by the SINR threshold, and the user capacity according to the determinant pairing criterion is greatly improved. The fifth chapter is the closest to the performance of the global search pairing. In this paper, we study the interference suppression scheme of the cooperative transmission of the base station with high efficiency. Firstly, the definition of energy efficiency is analyzed, and the evaluation scheme of the energy efficiency of the algorithms in this paper is given. Secondly, a transmission algorithm for the cell edge interference suppression based on the blind interference alignment is proposed. The model aligns the interference to the space outside the sending signal. According to this method, the interference can be eliminated effectively without the feedback link. On the basis of the system performance, the feedback amount of the traditional base station cooperative transmission is greatly reduced and the energy efficiency can be improved. The sixth chapter is the research work involved in this paper, and points out the next one. The research work and direction of the step.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN929.5
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