宽带大规模MIMO系统空间调制技术研究

发布时间：2018-01-21 17:44

本文关键词： 大规模MIMO 空间调制子载波索引调制空频索引联合调制广义近似消息传递　出处：《东南大学》2017年硕士论文　论文类型：学位论文

【摘要】：大规模多输入多输出(Multiple-InputMultiple-Output,MIMO)技术通过增加基站侧天线数目,能够显著提高系统频谱效率和能量效率,是第五代移动通信系统(5thGenerationMobile Communication Systems,5G)的关键技术之一。空间调制(Spatial Modulation,SM)技术作为一种新型多天线传输技术,只采用单一的射频链路,避免了传统MIMO系统中存在的干扰与同步问题,而且能够在保证系统频谱效率的同时提升能量效率。本论文从发送端数据传输的优化设计和接收端低复杂度检测两个方面,对宽带大规模MIMO系统空间调制相关技术展开研究。首先,研究了大规模MIMO空间调制技术。分别围绕SM技术的调制原理、大规模MIMO SM系统模型、接收端检测方法介绍了大规模MIMO SM系统,并利用能量效率和误比特率(Bit Error Ratio,BER)两个性能指标对大规模MIMO SM系统与传统大规模MIMO系统进行了比较,分析和仿真表明,在相等的频谱效率下,大规模MIMOSM系统能够实现更高的能量效率和更优的BER性能。此外,在BER性能和复杂度两个方面针对大规模MIMO SM系统接收端几种检测方法进行了仿真与分析,并总结了各种检测方法的优缺点。接着,研究了大规模MIMO子载波索引调制(Subcarrier Index Modulation,SIM)正交频分复用(Orthogonal Frequency Division Multiplexing,OFDM)技术。针对现有 SIM 技术频谱浪费的问题,改进了发送端数据传输方法,并将其应用到大规模MIMO OFDM系统中,建立了大规模MIMO SIM-OFDM系统模型,并提出了在理想信道状态信息(Channel State Information,CSI)和存在信道估计误差两种场景下的广义近似消息传递(Generalized Approximate Message Passing,GAMP)迭代检测方法。通过理论分析和计算机仿真,在频谱效率、能量效率、峰均功率比(Peak-to-Average Power Ratio,PAPR)以及BER性能方面评估了大规模MIMO SIM-OFDM系统性能,结果表明,改进的SIM-OFDM技术能够在保证OFDM系统频谱效率和BER性能的同时提升能量效率和PAPR性能。此外,仿真结果表明,相比于MMSE检测方法,针对大规模MIMOSIM-OFDM系统两种CSI场景下所提出的GAMP检测方法均能够以相对较低的复杂度实现更优的性能。最后,研究了大规模MIMO空频索引联合调制(Space-Frequency Index Modulation,SFIM)技术。将SM技术与SIM-OFDM技术相结合,提出了一种SFIM的发射端数据传输方法,并将SFIM技术应用到用户端配置多天线的大规模MMO OFDM系统中,建立了大规模MIMO SFIM系统模型。在此基础上,分别在理想的CSI和存在信道估计误差两种场景下,推导了适用于大规模MIMO SFIM系统的最小均方误差(Minimum Mean Squared Error,MMSE)检测方法和GAMP检测方法。仿真结果表明,相比于大规模MIMO SM OFDM系统,所提大规模MIMO SFIM系统能够在不损失频谱效率和BER性能的条件下,提升系统的能量效率。此外,在大规模MIMO SFIM系统中,相比于MMSE检测方法,两种CSI场景下所提出的GAMP检测方法均能够以相对较低的复杂度实现更优的性能。
[Abstract]:Large-scale Multiple-Input Multiple-Output MIMO (Multiple-Input Multiple-Output Mimo) technology increases the number of base station side antennas. The spectrum efficiency and energy efficiency of the system can be improved significantly. Is the Fifth Generation Mobile Communication Systems. As a new type of multi-antenna transmission technology, spatial modulation technology only uses a single RF link. The problem of interference and synchronization in traditional MIMO system is avoided. And it can improve the energy efficiency while ensuring the spectrum efficiency. This thesis focuses on two aspects: the optimal design of data transmission at the transmitter and the low complexity detection at the receiver. The spatial modulation technology of wide-band large-scale MIMO system is studied. Firstly, the large-scale MIMO spatial modulation technology is studied. The large-scale MIMO SM system model and receiver detection method are introduced in this paper, and the energy efficiency and bit error rate (bit Error Ratio) are used to describe the large scale MIMO SM system. After comparing the large-scale MIMO SM system with the traditional large-scale MIMO system by two performance indexes, the analysis and simulation show that under the same spectral efficiency. Large scale MIMOSM systems can achieve higher energy efficiency and better BER performance. In the aspects of BER performance and complexity, several detection methods on the receiving end of large-scale MIMO SM system are simulated and analyzed, and the advantages and disadvantages of various detection methods are summarized. The large scale MIMO subcarrier index modulation (MIMO) subcarrier Index Modulation is studied. Simm orthogonal Frequency Division Multiplexing. OFDM (OFDM) technology. Aiming at the waste of spectrum of the existing SIM technology, the data transmission method of the transmitter is improved, and it is applied to the large-scale MIMO OFDM system. The large-scale MIMO SIM-OFDM system model is established, and the channel State Information is proposed in the ideal channel state information. Generalized Approximate Message Passing in two scenarios: CSI) and the presence of channel estimation errors. Through theoretical analysis and computer simulation, the spectrum efficiency, energy efficiency and peak-to-average Power Ratio are obtained. The performance of large scale MIMO SIM-OFDM system is evaluated in terms of PAPR and BER performance, and the results show that. The improved SIM-OFDM technology can improve the energy efficiency and PAPR performance while ensuring the spectrum efficiency and BER performance of the OFDM system. Compared with MMSE detection method. The proposed GAMP detection methods for two CSI scenarios in large-scale MIMOSIM-OFDM systems can achieve better performance with relatively low complexity. Finally. Space-Frequency Index Modulation (Space-Frequency Index Modulation) modulated by large scale MIMO space-frequency index is studied. SFIM technology. Combining SM technology with SIM-OFDM technology, a data transmission method of SFIM transmitter is proposed. The SFIM technology is applied to the large-scale MMO OFDM system with multiple antennas on the client side, and the large-scale MIMO SFIM system model is established. In two scenarios, ideal CSI and channel estimation error, respectively. The minimum mean square error and minimum Mean Squared Error for large-scale MIMO SFIM systems are derived. MMSE) detection method and GAMP detection method. The simulation results show that compared with the large-scale MIMO SM OFDM system. The proposed large-scale MIMO SFIM system can improve the energy efficiency of the system without losing spectrum efficiency and BER performance. In addition, in large-scale MIMO SFIM systems. Compared with MMSE detection methods, the proposed GAMP detection methods in both CSI scenarios can achieve better performance with relatively low complexity.
【学位授予单位】：东南大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN919.3

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