LTE-A系统的并行QR分解
Parallel QR decomposition in LTE-A systems
摘要：
在多输入多输出（MIMO）通信系统中，信道矩阵的QR分解（QRD）是实现多种检测方案的基本前提。在此，QRD的主要特征是将非因果系统转换为因果系统，其中因此基于连续干扰消除（SIC）或球形解码器（SD）的有效检测算法变得可能。此外，QRD可以用作轻便但有效的天线选择方案。在本文中，我们解决的QRD方法的研究和比较他们的效率方面的计算复杂性和出错率的性能。此外，一个特别注意的是支付给QRD算法的并行性，因为它减少了延迟的矩阵分解。
英文摘要：
The QR Decomposition (QRD) of communication channel matrices is a fundamental prerequisite to several detection schemes in Multiple-Input Multiple-Output (MIMO) communication systems. Herein, the main feature of the QRD is to transform the non-causal system into a causal system, where consequently efficient detection algorithms based on the Successive Interference Cancellation (SIC) or Sphere Decoder (SD) become possible. Also, QRD can be used as a light but efficient antenna selection scheme. In this paper, we address the study of the QRD methods and compare their efficiency in terms of computational complexity and error rate performance. Moreover, a particular attention is paid to the parallelism of the QRD algorithms since it reduces the latency of the matrix factorization.
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