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Spectral Efficiency Optimization of Spatially-Correlated Multi-Pair Full-Duplex Massive MIMO Relaying

机译:空间相关多对全双工大型MIMO中继的光谱效率优化

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We consider a multi-pair two-way full-duplex (FD) amplify-and-forward relaying, where multiple FD multi-input multi-output (MIMO) users exchange information via a shared FD massive MIMO relay. We derive a closed-form spectral efficiency (SE) lower-bound for maximal-ratio combining/maximal-ratio transmission relay processing considering spatially correlated relay and user antennas, which most of the existing works have ignored. The derived SE lower-bound is applicable for arbitrary number of relay antennas, and simplifies to the following results available in the literature i) the asymptotic SE for number of relay antennas tending to infinity; and ii) the SE lower-bound with independent relay antennas and single-antenna users. We use this SE lower-bound to maximize the non-convex SE, which is of matrix fractional form. We optimize SE by approximating it as concave-convex function, and then by applying matrix quadratic transformation. We numerically validate the SE lower-bound for various system configurations and also characterize their performance for different spatial correlation and interference values. We investigate the gains achieved by the optimal SE over equal power allocation.
机译:我们考虑一个多对双向全双工(FD)放大和前进的中继,其中多个FD多输入多输出(MIMO)用户通过共享FD大规模MIMO继电器交换信息。考虑到空间相关的继电器和用户天线的最大比率组合/最大比传输继电器处理的最大比率和最大比率传输中继处理的闭合形式光谱效率(SE)较低。衍生的SE较低限制适用于任意数量的中继天线,并简化文献i中可用的以下结果i)趋向于无穷大的中继天线数量的渐近性SE; II)与独立的继电器天线和单天线用户的SE较低。我们使用该SE较低限制以最大化非凸的SE,这是矩阵分数形式。通过将其近似于凹凸功能来优化SE,然后通过应用矩阵二次转换。我们在数值上验证了各种系统配置的SE较低限制,并且还表征了它们对不同空间相关性和干扰值的性能。我们调查最佳SE通过相同电源分配所实现的增益。

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