基于广义三角分解的毫米波海量MIMO系统混合预编码

Y. Kabalci, H. Arslan
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引用次数: 10

摘要

混合预编码方案由于具有成本低、功耗低等优点,近年来在毫米波(mmWave)大规模多输入多输出(massive MIMO)通信系统中得到了广泛的关注。奇异值分解(SVD)方法在混合预编码设计中引起了系统设计上的一些问题,特别是位分配、预编码和均衡过程。另一方面,以往的研究表明,广义三角分解(GTD)方法在传统MIMO系统中具有渐近最优的性能。鉴于此,我们提出使用GTD方法设计在毫米波大规模MIMO系统中工作的混合预编码。提出的设计是通过执行的仿真研究,包括不同的系统配置进行分析。并将归档结果与基于标准正交匹配追踪(OMP)算法的混合预编码方案进行了比较。仿真结果表明,所提出的混合预编码方案可以达到最优预编码方案的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hybrid precoding for mmWave massive MIMO systems with generalized triangular decomposition
Hybrid precoding schemes have recently gained a great attention for millimeter wave (mmWave) massive multiple-input-multiple-output (massive MIMO) communication systems because of offered cost and low-power consumption advantages. The singular value decomposition (SVD) method which is exploited in the design of hybrid precoding causes several problems on system design, especially on bit allocation, precoding and equalizing processes. On the other hand, the previous works show that generalized triangular decomposition (GTD) method can present asymptotically optimal performance in conventional MIMO systems. In the light of this, we propose the use of GTD method for designing hybrid precoding operating in mmWave massive MIMO systems. The proposed design is analyzed via performed simulation studies including different system configurations. Moreover, the archived results are compared with the standard orthogonal matching pursuit (OMP) algorithm based hybrid precoding scheme. The simulation results show that the proposed hybrid precoding scheme can reach up to the performance of optimal precoding scheme.
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