多小区MIMO下行蜂窝网络的干扰对齐技术研究

发布时间：2018-11-23 07:44

【摘要】：多输入多输出技术(MIMO,multiple-input multiple-output)由于能够提高无线通信系统性能,取得了飞速发展。但是多小区MIMO系统中,由于多个用户使用着同一信道资源,所以系统中存在着大量的干扰信号,例如小区间干扰(ICI,inter-cell interference),和用户间干扰(IUI,inter-user interference),这些干扰严重影响了用户的通信速率,以及对用户的服务质量,所以对多小区MIMO系统中干扰消除的研究非常重要。在此背景下,干扰对齐技术从一种新的角度上处理无线通信中接收端受到的干扰信号,引起了学者广泛的关注。干扰对齐技术的主要思想是尽量将不同的干扰信号都对齐到一个较小的子空间中去,使得期望信号能够传输更多的数据流数目,提高用户的传输速率,从而使得多小区MIMO系统性能得到提升。本文首先介绍了干扰对齐技术的基本概念,在K用户MIMO干扰信道系统中介绍了现有干扰对齐技术。然后在多小区MIMO系统中,对现有的分组干扰对齐算法的可行性条件进行了分析,以及进一步推导了分组干扰对齐算法的最大可达自由度。最后,本文提出了一种基于广义奇异值分解的干扰对齐算法,该方法按照用户数目和小区数目的奇偶性,分别在不同的场景的多小区MIMO系统下研究了基于广义奇异值分解的干扰对齐算法,并且对本文对所提算法的可行性条件进行了分析,推导得到了在不同的多小区MIMO场景下,系统获得的自由度。本文提出的基于广义奇异值分解的干扰对齐算法可以有效地消除了用户接收到的小区间干扰和用户间的干扰,并且分析了其可行性条件,推导得到了多小区MIMO系统所能获得的最大可达自由度。本文针对所提出的干扰对齐算法,在相同的系统配置下,与分组干扰对齐算法进行了仿真对比,能够提供大于或等于分组干扰对齐算法的自由度,使得整个多小区MIMO系统的性能进一步得到提高。这对多小区MIMO系统的干扰消除的进一步研究提供了新的思路有重要意义。
[Abstract]:Multiple input multiple output (MIMO,multiple-input multiple-output) technology has been developed rapidly because of its ability to improve the performance of wireless communication systems. However, in multi-cell MIMO systems, because multiple users use the same channel resources, there are a lot of interference signals in the system, such as inter-cell interference (ICI,inter-cell interference),) and interuser interference (IUI,inter-user interference),). These interference seriously affect the communication rate of users and the quality of service to users, so it is very important to study the interference cancellation in multi-cell MIMO systems. In this context, interference alignment technology from a new point of view to deal with interference signals in wireless communications received by the receiver, attracted wide attention of scholars. The main idea of interference alignment technology is to align different interference signals into a smaller subspace as far as possible, so that the desired signal can transmit more data streams and improve the transmission rate of users. Therefore, the performance of multi-cell MIMO system is improved. In this paper, the basic concept of interference alignment is introduced, and the existing interference alignment techniques are introduced in K user MIMO jamming channel system. Then in the multi-cell MIMO system, the feasibility conditions of the existing packet interference alignment algorithm are analyzed, and the maximum degree of freedom of the packet interference alignment algorithm is derived. Finally, an interference alignment algorithm based on generalized singular value decomposition is proposed, which is based on the parity of the number of users and the number of cells. The interference alignment algorithm based on generalized singular value decomposition (GSVD) is studied in multi-cell MIMO systems with different scenarios. The feasibility conditions of the proposed algorithm are analyzed in this paper, and the results are derived under different multi-cell MIMO scenarios. The degree of freedom obtained by the system. The interference alignment algorithm based on generalized singular value decomposition (GSVD) proposed in this paper can effectively eliminate the inter-cell interference and inter-user interference received by users, and its feasibility is analyzed. The maximum degree of freedom that can be obtained by multi-cell MIMO system is derived. In this paper, the interference alignment algorithm is simulated and compared with the packet interference alignment algorithm under the same system configuration, which can provide the degree of freedom of the algorithm greater than or equal to that of the packet interference alignment algorithm. The performance of the whole multi-cell MIMO system is further improved. This provides a new idea for the further study of interference cancellation in multi-cell MIMO systems.
【学位授予单位】：西安电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN919.3

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