基于天线选择的预编码技术研究

发布时间：2018-01-15 06:25

本文关键词：基于天线选择的预编码技术研究　出处：《新疆大学》2017年硕士论文　论文类型：学位论文

【摘要】：随着5G技术的到来,大规模MIMO技术得到了 5G技术的理论支持,但大规模MIMO技术的发展也带来了硬件成本提高,预编码技术复杂度增加,增加导频开销等技术难题。而预编码技术能够有效降低译码复杂度同时又能降低用户间干扰,其成为无线通信中国内外研究的重点技术之一。大规模MIMO技术能够使得最简单的线性预编码的性能达到更优的效果,在这种情况下信道噪声和用户间干扰可以认为完全消除,由此可见在大规模MIMO中预编码技术带来优势的同时也不可避免的带来了一些缺陷,如何解决这样的难题是本文研究的重点。天线选择能够降低大规模MIMO技术所带来的射频链路的开销。对发送端进行天线选择,避免了大规模MIM0系统对传统预编码算法所带来的大量的矩阵求逆运算。其成为大规模MIMO和预编码技术优缺点互补的桥梁,本文就是基于此对天线选择的大规模MIM0预编码技术进行了详细研究。本文先通过对 CoMP(Coordinated Multiple Points Transmission)系统的简要介绍,提出了一种基于天线选择的预编码模型,随后对大规模MIMO技术,天线选择技术和预编码技术进行了简要介绍。在讨论天线选择技术中提出了一种基于信道容量增量的天线选择方案,与信道容量最大化的天线选择技术的不同之处在于,其每增加一根天线就计算其对整个系统信道容量的贡献,若无贡献或贡献小于功率的消耗就将此天线删除。实验结果表明所提方案性能比最优天线选择算法、递增递减天线选择算法略差,但计算复杂度大幅度降低;而比基于范数的天线选择算法和基于相关度的天线选择算法的性能优越,计算复杂度与它们相当。其可以在复杂度和中断性能上得到一个折中的结果。最后根据所提天线选择方案,对基于天线选择的预编码算法进行了研究,实验结果显示本文所提方案能够降低预编码独立算法的复杂度,且在低信噪比下能够获得性能的增益,因此联合算法更适合应用在大规MIMO系统中。
[Abstract]:With the arrival of 5G technology, large-scale MIMO technology is supported by 5G technology. However, the development of large-scale MIMO technology also brings about the increase of hardware cost and the complexity of pre-coding technology. The precoding technology can effectively reduce the complexity of decoding and the interuser interference at the same time. It has become one of the key technologies of wireless communication in China and abroad. Large scale MIMO technology can make the performance of the simplest linear precoding better. In this case, the channel noise and inter-user interference can be considered to be completely eliminated, it can be seen that in large-scale MIMO precoding technology brings advantages, but also inevitably brings some defects. How to solve this problem is the focus of this paper. Antenna selection can reduce the RF link overhead brought by large-scale MIMO technology. It avoids a large number of matrix inversion operations brought by large-scale MIM0 system to the traditional precoding algorithm. It becomes a bridge between large-scale MIMO and pre-coding technology. Based on this, the large scale MIM0 precoding technology for antenna selection is studied in detail in this paper. A brief introduction to the Coordinated Multiple Points Transmission system. A precoding model based on antenna selection is proposed and then applied to large-scale MIMO technology. Antenna selection technology and precoding technology are briefly introduced. In the discussion of antenna selection technology, an antenna selection scheme based on channel capacity increment is proposed. The difference with the channel capacity maximization antenna selection technique is that each additional antenna calculates its contribution to the overall system channel capacity. The experimental results show that the performance of the proposed scheme is slightly worse than that of the optimal antenna selection algorithm and the incremental decreasing antenna selection algorithm, but the computational complexity is greatly reduced. Compared with the norm based antenna selection algorithm and the correlation based antenna selection algorithm, the performance of the algorithm is superior. The computational complexity is equivalent to theirs. It can get a compromise result in complexity and interrupt performance. Finally, according to the proposed antenna selection scheme, the precoding algorithm based on antenna selection is studied. The experimental results show that the proposed scheme can reduce the complexity of the precoding independent algorithm and obtain the performance gain at low SNR. Therefore, the joint algorithm is more suitable for large scale MIMO systems.
【学位授予单位】：新疆大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN919.3

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