闭环波束形成系统中SVD和QRS的比较研究
Comparative Study of SVD and QRS in Closed-Loop Beamforming Systems
摘要：
我们比较了两种闭环波束形成算法，一个基于奇异值分解（SVD）和其他基于等对角QR分解（QRS）。SVD具有并行化MIMO信道的优点，但是每个子信道具有不同的增益。QRS具有对于分解的信道具有相等对角值的优点，但是子信道不是完全并行的，因此需要连续干扰消除或其他技术来执行解码。我们考虑一个闭环系统的反馈信息是一个酉波束形成矩阵。由于离散和有限的调制集，当不执行调制集选择时，SVD可能具有比QRS差的性能。然而，如果调制集的选择是最佳的，我们表明，SVD可以优于QRS。
英文摘要：
We compare two closed-loop beamforming algorithms, one based on singular value decomposition (SVD) and the other based on equal diagonal QR decomposition (QRS). SVD has the advantage of parallelizing the MIMO channel, but each of the sub-channels has different gain. QRS has the advantage of having equal diagonal value for the decomposed channel, but the subchannels are not fully parallelized, hence requiring successive interference cancellation or other techniques to perform decoding. We consider a closed-loop system where the feedback information is a unitary beamforming matrix. Due to the discrete and limited modulation set, SVD may have inferior performance to QRS when no modulation set selection is performed. However, if the selection of modulation set is performed optimally, we show that SVD can outperform QRS.
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