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Outage Probability Under Channel Distribution Uncertainty

机译:信道分配不确定性下的中断概率

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Outage probability and capacity of a class of block-fading MIMO channels are considered under partial channel distribution information. Specifically, the channel or its distribution is not known but the latter is known to belong to a class of distributions where each member is within a certain distance (uncertainty) from a nominal distribution. Relative entropy is used as a measure of distance between distributions. Compound outage probability defined as min (over the transmitted signal distribution) -max (over the channel distribution class) outage probability is introduced and investigated. This generalizes the standard outage probability to the case of partial channel distribution information. Compound outage probability characterization (via 1-D convex optimization and in a closed form), its properties, and approximations are given. It is shown to have two-regime behavior: when the nominal outage probability decreases (e.g., by increasing the SNR), the compound outage first decreases linearly down to a certain threshold (related to the relative entropy distance; this is the nominal outage-dominated regime) and then only logarithmically (i.e., very slowly; this is the uncertainty-dominated regime) so that no significant further decrease is possible. This suggests the following design guideline: the outage probability is decreased by increasing the SNR or optimizing the transmitted signal distribution (both decrease nominal outage) in the first regime and by reducing the channel distribution uncertainty (e.g., via better estimation) in the second one. The compound outage depends on the relative entropy distance and the nominal outage only, all other details (nominal fading and noise distributions) being irrelevant. The transmit signal distribution optimized for the nominal channel distribution is shown to be also optimal for the whole class of distributions. The effect of swapping the distributions in relative entropy is investigated and an error floor effect is - stablished. The compound outage probability under $L_{p}$ distance constraint is also investigated. The obtained results hold in full generality, i.e., for the general channel model with arbitrary nominal fading and noise distributions.
机译:在部分信道分布信息下考虑一类块衰落MIMO信道的中断概率和容量。具体来说,通道或其分布是未知的,但是已知通道或分布属于一类分布,其中每个成员都与标称分布相距一定距离(不确定性)。相对熵用作分布之间距离的度量。引入并研究了定义为min(在发射信号分布上)-max(在信道分布类别上)的复合中断概率。这将标准中断概率推广到部分信道分布信息的情况。给出了复合中断概率表征(通过一维凸优化和封闭形式),其性质和近似值。它具有两种状态:当名义中断概率降低(例如,通过提高SNR)时,复合中断首先线性降低至某个阈值(与相对熵距离有关;这是名义中断-占主导地位的制度),然后仅以对数形式(即,非常缓慢;这是不确定性主导的制度),因此不可能进一步大幅度降低。这表明了以下设计准则:在第一种情况下,通过提高SNR或优化发射信号的分布(均减少标称中断)并在第二种情况下通过减小信道分布的不确定性(例如,通过更好的估计)来降低中断概率。复合中断仅取决于相对熵距离和标称中断,所有其他详细信息(标称衰落和噪声分布)均无关紧要。对于标称信道分布优化的发射信号分布对于整个分布类别也显示为最佳。研究了交换相对熵中的分布的效果,并确定了误差本底效应。还研究了在$ L_ {p} $距离约束下的复合中断概率。所获得的结果完全具有通用性,即对于具有任意标称衰落和噪声分布的通用信道模型。

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