FIBONACCI: Full-Duplex In-Band Multipoint-Unicast Communication und Cooperation

预测显示，到2020年，具有通信能力的设备数量将增加到500亿台，从而产生一种被称为物联网（IoT）的新范式。这种新的范例将导致新的和更复杂的网络拓扑。因此，越来越需要了解这种网络的基本特征。由于多路中继网络类似于此类物联网网络拓扑的实例，因此它们是计划项目的调查主题。更详细地说，计划项目的主要目标是设计多路中继信道的传输方案，优化其性能（吞吐量，功耗等），并最终接近这些信道上通信的信息论极限。由于多路中继网络能够利用一种称为物理层网络编码（PHYNC）的新兴技术，因此可以显著提高系统的传输速率。因此，本课题的重点是对多输入多输出（MIMO）多路中继信道的这些方面进行研究，并得出其近似容量及其权衡的表述。为此，将使用来自信号处理、优化和信息论的工具。

Predictions show that the number of devices with communication capability will rise to 50 billions by 2020, leading to a new paradigm referred to as the Internet-of-Things (IoT). This new paradigm will lead to new and more sophisticated network topologies.As a consequence there is an increasing need for the understanding of the fundamental characteristics of such networks. As multi-way relaying networks resemble instances of such IoT network topologies, they are the subject of investigation of the planned project. In more details, the main goals of of the planned project are designing transmission schemes for multi-way relay channels, optimizing their performance (throughput, power consumption, etc.), and ultimately approaching information-theoretic limits of communication over such channels. As multi-way relaying networks enable exploiting an emerging technique known as physical-layer network coding (PHYNC), the transmission rate of the system can be significantly boosted. Thus, the focus of this project is to study these aspects for the multi-input multi-output (MIMO) multi-way relay channel, and obtain statements about its approximate capacity and trade-offs therein. To this end, tools from signal processing, optimization, and information theory will be used.