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Near-optimal hybrid precoding for millimeter wave massive MIMO systems via cost-efficient Sub-connected structure

机译:经济高效的子连接结构毫米波大型MIMO系统近最优混合预编码

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摘要

Millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) is a promising technology for next generation wireless communications. The utilisation of traditional full digital precoding techniques for mmWave massive MIMO systems is too costly. Fortunately, the hybrid (analogue/digital) precoding is a better choice. In this study, the authors investigate a near-optimal iterative approximation hybrid precoding algorithm via cost-efficient sub-connected structure for mmWave massive MIMO systems. Based on the minimum mean square error (MSE) criterion, the optimal design of the proposed hybrid precoders is non-convex. The original problem is reformulated as two optimisation sub-problems, where one of the sub-problems is convex and another is non-convex. First, the authors convert the non-convex sub-problem into a convex problem by relaxing the constant modulus constraint from beampattern with interference control method, and eliminating the block diagonal constraint from vector operation with the properties of Kronecker product. Then the two convex sub-problems are solved iteratively. The proposed algorithm can achieve a highly approximate optimal solution, which can be theoretically demonstrated to converge to a Karush-Kuhn-Tucker point of the original problem. Simulation results show that the proposed algorithm via both sub-connected and fully connected structure gets favourable performance in terms of MSE and achievable rate.
机译:毫米波(MMWAVE)大规模多输入多输出(MIMO)是下一代无线通信的有希望的技术。用于MMWave大规模MIMO系统的传统全数字预编码技术的利用太昂贵了。幸运的是,混合动力(模拟/数字)预编码是一个更好的选择。在本研究中,作者通过用于MMWave大规模MIMO系统的成本效益的子连接结构来研究近最优迭代近似混合混合预编码算法。基于最小均方误差(MSE)标准,所提出的混合预制器的最佳设计是非凸的。原始问题被重新重新重整为两个优化子问题,其中一个子问题是凸,另一个是非凸的。首先,作者通过用干扰控制方法松弛来自波束模式的恒定模量约束,以及通过与克朗克替商产品的特性消除矢量操作的块对角线约束,将非凸子问题转换为凸面问题。然后迭代地解决了两个凸子问题。所提出的算法可以实现高近似的最佳解决方案,其理论上可以说明于收敛到原始问题的karush-kuhn-tucker点。仿真结果表明,通过子连接和完全连接结构的建议算法在MSE和可实现的速率方面具有良好的性能。

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