大规模MIMO通信系统中峰均功率比的研究

发布时间：2019-03-17 17:43

【摘要】：目前，多输入多输出（Multi-Input Multi-Output，MIMO）技术已成为LTE/LTE-Advanced中的核心技术之一，它能够显著提升无线通信系统的数据传输速率、可靠性、抗干扰、能量效率等方面性能。同时，当天线数量逐渐增大时，无线通信系统的性能也会逐渐增强，为了进一步提升无线通信系统的性能，学术界提出了大规模MIMO技术（Massive MIMO）。相比于普通的MIMO通信系统，大规模MIMO通信系统拥有更多的天线，能够提供更好的通信性能，且系统实现复杂度大大降低。因此，大规模MIMO技术有希望成为下一代5G移动通信系统的核心技术之一。在大规模MIMO通信系统中，预编码会引起大规模MIMO通信系统的各天线之间功率发生较大的动态波动，从而引起较高的峰均功率比（Peak-to-Average PowerRatio，PAPR）。由于无线通信系统中需要使用高功率方法器进行功率放大，且功率放大器的线性放大区域有限，因此，当PAPR高的信号通过高功率放大器时，会引起比较大的非线性失真，从而影响系统的误码率性能。大规模MIMO无线通信系统的高PAPR特性是阻碍其走向实用的一个重要瓶颈。本文针对大规模MIMO通信系统PAPR较高的问题，进行了详细的讨论与研究，并仿真实现了预编码方法用于降低大规模MIMO通信系统的峰均功率比。本文首先详细介绍大规模MIMO通信系统的基本原理，并介绍了大规模MIMO通信系统中的一些具体技术。然后，本文详细分析了大规模MIMO通信系统的峰均功率比，并介绍了一些降低大规模MIMO通信系统峰均功率比的方法。最后，本文研究了一种预编码方法用于降低大规模MIMO通信系统的峰均功率比，该方法的基本原理为：大规模MIMO通信系统存在无穷中预编码方法，我们可以寻找一种PAPR最低的预编码方法用于降低大规模MIMO通信系统的PAPR。同时，为了研究预编码方法降低大规模MIMO通信系统PAPR的性能，我们使用Matlab进行了仿真与分析。
[Abstract]:At present, multi-input multiple-output (Multi-Input Multi-Output,MIMO) technology has become one of the core technologies in LTE/LTE-Advanced. It can significantly improve the data transmission rate, reliability, anti-interference, energy efficiency and other aspects of wireless communication systems. At the same time, when the number of antennas gradually increases, the performance of the wireless communication system will be gradually enhanced. In order to further improve the performance of the wireless communication system, a large-scale MIMO technology, (Massive MIMO)., has been proposed by the academic community. Compared with the ordinary MIMO communication system, the large-scale MIMO communication system has more antennas, can provide better communication performance, and the system implementation complexity is greatly reduced. Therefore, large-scale MIMO technology is expected to become one of the core technologies of the next generation 5G mobile communication system. In large-scale MIMO communication system, precoding will cause large dynamic fluctuation of power between antennas in large-scale MIMO communication system, which will lead to higher peak-to-average power ratio (Peak-to-Average PowerRatio,PAPR). Because the high power amplifier is needed in wireless communication system, and the linear amplification area of the power amplifier is limited, when the high PAPR signal passes through the high power amplifier, it will cause a large non-linear distortion. Thus, the BER performance of the system is affected. The high PAPR characteristic of large-scale MIMO wireless communication system is an important bottleneck that hinders its application. In this paper, the problem of high PAPR in large-scale MIMO communication system is discussed and studied in detail, and the pre-coding method is simulated to reduce the peak-to-average power ratio of large-scale MIMO communication system. In this paper, the basic principle of large-scale MIMO communication system is introduced in detail, and some specific techniques in large-scale MIMO communication system are introduced. Then, this paper analyzes the peak-to-average power ratio of large-scale MIMO communication system in detail, and introduces some methods to reduce the peak-to-average power ratio of large-scale MIMO communication system. Finally, this paper studies a precoding method to reduce the peak-to-average power ratio of large-scale MIMO communication systems. The basic principle of this method is as follows: there is an infinite mid-precoding method in large-scale MIMO communication systems. We can find a minimum PAPR precoding method to reduce the PAPR. of large-scale MIMO communication systems. At the same time, in order to study the precoding method to reduce the performance of large-scale MIMO communication system PAPR, we use Matlab to simulate and analyze.
【学位授予单位】：华中科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN919.3

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