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A Uniform Beam Selection Algorithm for Beamspace Mimo-Noma in Millimeter-Wave Communication System

机译:毫米波通信系统中波束空间Mimo-Noma的均匀波束选择算法

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The concept of beamspace multiple-input multiple-out non-orthogonal multiple access (MIMO-NOMA)is able not only to reduce the number of radio frequency (RF)chains but also to increase the spectrum efficiency in the millimeter-wave (mmWave)massive MIMO communication system. However, it is difficulty to realize the existing beam selection scheme in the system since the user side will spend too much time and computation in decoding messages by performing successive interference canceller (SIC). To solve this problem, we propose a Uniform beam selection algorithm. Specifically, according to the sparsity of the beamspace channel, the users are classified into two sets firstly. Then the beams are selected uniformly by the users with the cross-correlation of the beamspace channels. The simulation results verify that not only the spectrum and energy efficiency but also the computation of the user side in the system can be improved quite a lot with the Uniform beam selection algorithm.
机译:波束空间多输入多出非正交多址(MIMO-NOMA)的概念不仅能够减少射频(RF)链的数量,而且能够提高毫米波(mmWave)的频谱效率大规模MIMO通信系统。然而,由于用户侧将通过执行连续干扰消除器(SIC)来解码消息,因此将花费太多时间和计算,因此难以在系统中实现现有的波束选择方案。为了解决这个问题,我们提出了一种均匀波束选择算法。具体地,根据波束空间信道的稀疏性,首先将用户分为两组。然后,用户通过波束空间通道的互相关来均匀地选择波束。仿真结果证明,使用均匀波束选择算法不仅可以极大地改善频谱和能量效率,而且可以大大提高系统中用户的计算效率。

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