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首页> 外文期刊>IEEE Transactions on Communications >Optimized Power Control for Massive MIMO With Underlaid D2D Communications
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Optimized Power Control for Massive MIMO With Underlaid D2D Communications

机译:具有下划线D2D通信大规模MIMO的优化功率控制

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In this paper, we consider device-to-device (D2D) communication that is underlaid in a multi-cell massive multiple-input multiple-output (MIMO) system and proposes a new framework for power control and pilot allocation. In this scheme, the cellular users (CUs) in each cell get orthogonal pilots which are reused with reuse factor one across cells, while all the D2D pairs share another set of orthogonal pilots. We derive a closed-form capacity lower bound for the CUs with different receive processing schemes. In addition, we derive a capacity lower bound for the D2D receivers and a closed-form approximation of it. We provide power control algorithms to maximize the minimum spectral efficiency (SE) and to maximize the product of the signal-to-interference-plus-noise ratios in the network. Different from prior works, in our proposed power control schemes, we consider joint pilot and data transmission optimization. Finally, we provide a numerical evaluation, where we compare our proposed power control schemes with the maximum transmit power case and the case of conventional multi-cell massive MIMO without D2D communication. Based on the provided results, we conclude that our proposed scheme increases the sum SE of multi-cell massive MIMO networks.
机译:在本文中,我们考虑在多电池大量多输入多输出(MIMO)系统中下划作的设备到设备(D2D)通信,并提出了一种用于电源控制和试点分配的新框架。在该方案中,每个小区中的蜂窝用户(CU)获得正交导频,其与跨越细胞的重用因子一个重复使用,而所有D2D对共享另一组正交导频。我们从不同的接收处理方案获得CUS的闭合容量下限。此外,我们导出了D2D接收器的容量下限和其闭合形式近似。我们提供功率控制算法,以最大化最小频谱效率(SE)并最大化网络中的信号到干扰的噪声比率的乘积。与先前作品不同,在我们提出的电源控制方案中,我们考虑联合导频和数据传输优化。最后,我们提供了一个数值评估,在那里我们将所提出的功率控制方案与最大发射功率案例和没有D2D通信的传统多电池大量MIMO的情况进行比较。根据提供的结果,我们得出结论,我们的拟议方案增加了多电池大规模MIMO网络的SE。

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