面向5G通信的MIMO系统检测技术研究

发布时间：2018-05-24 13:43

本文选题：多输入多输出 + 正交频分复用　；参考：《电子科技大学》2017年硕士论文

【摘要】：多输入多输出(Multi-Input Multi-Output,MIMO)技术在提升通信系统容量、提高传输速率、改善传输质量等方面具有明显的优势,进一步挖掘MIMO技术的性能优势在未来的5G通信中备受关注。基于正交频分复用的索引调制(Orthogonal Frequency Division Multiple with Index Modulation,OFDM-IM)技术具有能效高、抗频偏强等特点,适用于5G通信中的高可靠、低功耗等应用场景。稀疏码多址(Sparse Code Multiple Access,SCMA)技术是非正交多址技术的候选技术之一,可以提供更多的连接数和更高的频谱效率,在5G通信中的海量连接应用场景方面具有巨大潜力。面向5G通信,单一的传输技术将难以满足多种新兴业务的需求,针对不同的场景,5G系统的设计很可能采取不同的传输技术。因此,本论文基于MIMO信道,对多天线的OFDM-IM和SCMA系统进行了研究,分析了现有检测算法的优势和不足,并针对这两种不同的系统分别提出了改进型的算法,在误比特率性能和实现复杂度之间取得更好的平衡。本文的具体工作如下:第一章首先回顾移动通信的演变历程,然后详细介绍了5G的研究现状,最后介绍了本文的主要内容和安排。第二章对未来5G通信系统的潜在无线传输技术进行了概述。对MIMO技术、OFDM-IM技术、SCMA技术的系统模型、技术特征以及经典的检测算法进行了分析和介绍。第三章对基于OFDM-IM的多天线系统的检测算法进行了研究。首先介绍了多天线的OFDM-IM系统模型以及经典检测算法。针对现有算法的不足,提出了两种改进的算法。最后,对多天线的OFDM-IM系统中的检测算法进行了理论仿真和分析,并给出了误比特率性能分析和复杂度比较。第四章对基于SCMA的多天线系统的检测算法进行了研究。首先介绍了多天线的SCMA系统模型,并总结了三种常用的检测算法。根据现有检测算法存在复杂度高或误比特率性能差等缺陷,提出了三种低复杂度的检测算法。最后,对多天线的SCMA系统中的检测算法进行了理论仿真和分析,并给出了误比特率性能分析和复杂度比较。第五章对全文进行了总结,并探讨了未来的研究点。
[Abstract]:Multi-Input Multi-Output MIMO (Multi-Input Multi-Output Mimo) technology has obvious advantages in improving the capacity of communication system, improving the transmission rate and improving the transmission quality, and further mining the performance advantage of MIMO technology has attracted much attention in the future 5G communication. Orthogonal Frequency Division Multiple with Index Modulation (OFDM-IMM) based on orthogonal Frequency Division Multiplexing (OFDM-IMA) has the advantages of high energy efficiency and strong anti-frequency. It is suitable for 5G communication applications such as high reliability and low power consumption. Sparse code multiple access Code Multiple (Sparse Code Multiple) is one of the candidate technologies for non-orthogonal multiple access technology, which can provide more connections and higher spectral efficiency. It has great potential in massive connection application scenarios in 5G communications. For 5G communication, a single transmission technology will be difficult to meet the needs of a variety of emerging services. Different transmission technologies are likely to be adopted in the design of 5G systems for different scenarios. Therefore, based on the MIMO channel, this paper studies the multi-antenna OFDM-IM and SCMA systems, analyzes the advantages and disadvantages of the existing detection algorithms, and proposes an improved algorithm for the two different systems. A better balance between bit error rate performance and implementation complexity is achieved. The main work of this paper is as follows: in the first chapter, the evolution of mobile communication is reviewed, then the research status of 5G is introduced in detail. Finally, the main content and arrangement of this paper are introduced. In the second chapter, the potential wireless transmission technology of 5 G communication system in the future is summarized. This paper analyzes and introduces the system model, technical characteristics and classical detection algorithms of MIMO technology and OFDM-IM technology. In chapter 3, the detection algorithm of multi-antenna system based on OFDM-IM is studied. Firstly, the OFDM-IM system model of multi-antenna and the classical detection algorithm are introduced. Aiming at the deficiency of the existing algorithms, two improved algorithms are proposed. Finally, the detection algorithm in multi-antenna OFDM-IM system is simulated and analyzed theoretically, and the BER performance analysis and complexity comparison are given. In chapter 4, the detection algorithm of multi-antenna system based on SCMA is studied. Firstly, the SCMA system model of multiple antennas is introduced, and three common detection algorithms are summarized. According to the shortcomings of the existing detection algorithms, such as high complexity or poor bit error rate (BER), three low complexity detection algorithms are proposed. Finally, the detection algorithm in multi-antenna SCMA system is simulated and analyzed theoretically, and the BER performance analysis and complexity comparison are given. The fifth chapter summarizes the full text and discusses the future research points.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN929.5;TN919.3

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