Informationstheorie für Kompakt-Antennen-Arrays

当试图将信息理论应用于现实世界问题时，一个具有挑战性的障碍是找到正确的渠道模型。这里考虑的一类问题是具有紧凑天线阵列的信道的信息理论。起点是最近在这种阵列及其扩展到网络通信方面的获奖工作。目标是建立适合信息论分析的合理信道模型，并确定静态和随机多输入多输出（MIMO）信道在现实约束下的容量。这项工作将进一步发展需要信道估计的不确定信道的信息理论，用于包括多址和广播模型在内的蜂窝网络，以及不将干扰简单地视为背景噪声的干扰信道。最后，该工作将把新的模型和理论应用于中继信道，以开发能够接近容量的信息论中继协议。

A challenging hurdle when one tries to apply information theory to real-world problems is to find the right channel models to work on. The class of problems considered here is information theory for channels with compact antenna arrays. The starting point is recent award-winning work on such arrays and its extensions to network communications. The goals are to develop reasonable channel models that are amenable to information-theoretic analysis, and to determine the capacity of static and stochastic multi-input multi-output (MIMO) channels under realistic constraints. The work will further develop information theory for uncertain channels requiring channel estimation, for cellular networks including multi-access and broadcast models, and for interference channels where one does not treat interference simply as background noise. Finally, the work will apply the new models and theory to relay channels to develop information-theoretic relaying protocols that can closely approach capacity.