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Coordinated Multicast Precoding for Multi-Cell Massive MIMO Transmission Exploiting Statistical Channel State Information

机译:利用统计信道状态信息的多小区大规模MIMO传输的协调组播预编码

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This paper considers coordinated multi-cell multicast precoding for massive multiple-input-multiple-output transmission where only statistical channel state information of all user terminals (UTs) in the coordinated network is known at the base stations (BSs). We adopt the sum of the achievable ergodic multicast rate as the design objective. We first show the optimal closed-form multicast signalling directions of each BS, which simplifies the coordinated multicast precoding problem into a coordinated beam domain power allocation problem. Via invoking the minorization-maximization framework, we then propose an iterative power allocation algorithm with guaranteed convergence to a stationary point. In addition, we derive the deterministic equivalent of the design objective to further reduce the optimization complexity via invoking the large-dimensional random matrix theory. Numerical results demonstrate the performance gain of the proposed coordinated approach over the conventional uncoordinated approach, especially for cell-edge UTs.
机译:本文考虑了大规模多输入多输出传输的协作多小区多播预编码,其中在基站(BS)上仅了解协作网络中所有用户终端(UT)的统计信道状态信息。我们采用可达到的遍历组播速率之和作为设计目标。我们首先显示每个BS的最佳封闭形式多播信令方向,这将协调的多播预编码问题简化为协调的波束域功率分配问题。通过调用最小化最大化框架,我们提出了一种保证收敛到平稳点的迭代功率分配算法。此外,我们通过调用大尺寸随机矩阵理论得出设计目标的确定性等价物,以进一步降低优化复杂性。数值结果表明,与传统的非协调方法相比,所提出的协调方法的性能有所提高,尤其是对于小区边缘的UT。

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