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首页> 外文期刊>IEEE Transactions on Signal Processing >Space–Time Power Schedule for Distributed MIMO Links Without Instantaneous Channel State Information at the Transmitting Nodes
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Space–Time Power Schedule for Distributed MIMO Links Without Instantaneous Channel State Information at the Transmitting Nodes

机译:发射节点处没有瞬时信道状态信息的分布式MIMO链路的时空功率调度

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摘要

A space-time optimal power schedule for multiple distributed multiple-input multiple-output (MIMO) links without the knowledge of the instantaneous channel state information (CSI) at the transmitting nodes is proposed. A readily computable expression for the ergodic sum capacity of the MIMO links is derived. Based on this expression, which is a non-convex function of power allocation vectors, a projected gradient algorithm is developed to optimize the power allocation. For a symmetric set of MIMO links with independent identically distributed channels, it is observed that the space-time optimal power schedule reduces to a uniform isotropic power schedule when nominal interference is low, or to an orthogonal isotropic power schedule when nominal interference is high. Furthermore, the transition region between the latter two schedules is seen to be very sharp in terms of nominal interference-to-noise ratio (INR). For MIMO links with correlated channels, the corresponding space-time optimal power schedule is developed based on the knowledge of the channel correlation matrices. It is shown that the channel correlation has a great impact on the ergodic capacity and the optimality of different power scheduling approaches.
机译:提出了一种空时最优功率调度,用于多个分布式多输入多输出(MIMO)链路,而无需了解发射节点的即时信道状态信息(CSI)。得出了MIMO链路遍历总容量的易于计算的表达式。基于该表达式,它是功率分配矢量的非凸函数,开发了一种投影梯度算法来优化功率分配。对于具有独立的均匀分布的信道的MIMO链路的对称集合,可以观察到,当标称干扰较低时,时空最佳功率调度会降低为均匀的各向同性功率调度;而当标称干扰较高时,则将时空最佳功率调度减小为正交各向同性功率调度。此外,就标称干扰噪声比(INR)而言,后两个时间表之间的过渡区域非常明显。对于具有相关信道的MIMO链路,基于信道相关矩阵的知识来开发相应的时空最佳功率调度。结果表明,信道相关性对遍历容量和不同功率调度方法的最优性有很大影响。

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