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Omnidirectional Transmit Beamforming for Massive MIMO with Uniform Rectangular Array

机译:具有均匀矩形阵列的大规模MIMO全向发射波束成形

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In public channels, common signals are required to transmit omnidirectionally to ensure cell-wide coverage. In this paper, we focus on omnidirectional beamforming for common signal transmission in a massive multiple-input multiple-output (MIMO) system equipped with a uniform rectangular array (URA). We first model the omnidirectional transmission as a feasibility optimization problem in a matrix form. By counting the number of equality constraints and the degrees of freedom of the matrix variable, we conjecture that it takes at least three beamforming vectors to achieve constant-power signal transmission at any direction for a URA with more than two rows/columns. We then propose an efficient iterative rank-reduction algorithm, which can obtain three beamforming vectors that can generate a perfectly flat radiation beampattern, but cannot reduce further for a URA with more than two rows/columns. That is, the algorithm numerically verifies the conjecture. The numerical results validate the superior performance of the proposed scheme over the existing alternatives.
机译:在公共频道中,需要通用信号进行全方位传输,以确保整个小区的覆盖范围。在本文中,我们专注于在配备统一矩形阵列(URA)的大规模多输入多输出(MIMO)系统中用于常见信号传输的全向波束成形。我们首先以矩阵形式将全向传输建模为可行性优化问题。通过计算相等约束的数量和矩阵变量的自由度,我们可以推测,对于具有多于两行/列的URA,它至少需要三个波束成形向量才能在任何方向上实现恒定功率信号传输。然后,我们提出了一种有效的迭代秩减小算法,该算法可以获取三个波束形成向量,这些向量可以生成完美平坦的辐射波束图,但对于具有多于两行/列的URA,则无法进一步减小。也就是说,该算法在数字上验证了猜想。数值结果证明了该方案优于现有方案的优越性能。

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