The observed coherence times associated with different wireless transmitters at any given user may vary at different rates. We demonstrate how these variations can be exploited for interference management. More precisely, we propose a new opportunistic blind interference alignment (BIA) strategy in the context of $K$ -user interference channels that exploits these variations in coherence times and provides significant data rate gains. We first provide a proof-of-concept setup in which the information about coherence time variations is available non-causally to the transmitters, and we demonstrate how transmitters and receivers can perform pre-coding and post-processing, respectively, to align a considerable part of the interference signal power. We note that in this non-causal scenario, no channel state information is available to the transmitters, and we make no specific assumption on the channel distributions. We take the key ideas of this scenario and consider a $K$ -user interference channel in which the direct links vary at a higher pace compared to the cross links. This assumption is motivated by considering mobile users, or by using our proposed transmit antenna for stationary or low-mobility users. We show how to eliminate the need for non-causal knowledge of coherence time variations, and still provide significant capacity gains.

中文翻译：

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利用相干时间变化进行机会性盲干扰对准


在任何给定用户处观察到的与不同无线发射机相关联的相干时间可以以不同速率变化。我们演示了如何利用这些变化进行干扰管理。更准确地说，我们在 $K$ 用户干扰信道的背景下提出了一种新的机会盲干扰对齐 (BIA) 策略，该策略利用相干时间的这些变化并提供显着的数据速率增益。我们首先提供一个概念验证设置，其中有关相干时间变化的信息对于发射器来说是非因果可用的，并且我们演示了发射器和接收器如何分别执行预编码和后处理，以对齐相当多的数据。干扰信号功率的一部分。我们注意到，在这种非因果场景中，发射机没有可用的信道状态信息，并且我们没有对信道分布做出具体假设。我们采用该场景的关键思想，并考虑 $K$ 用户干扰信道，其中直接链路与交叉链路相比以更高的速度变化。这一假设的动机是考虑移动用户，或者通过将我们提出的发射天线用于固定或低移动性用户。我们展示了如何消除对相干时间变化的非因果知识的需求，并且仍然提供显着的容量增益。