Power Adjustment and Constructive Interference Alignment for Wireless Networks

无线网络的功率调整和相长干扰对准

• 批准号: 140842510
• 负责人: Professor Dr. Rudolf Mathar
• 金额: --
• 依托单位: Lehrstuhl für Intelligente Regelungssysteme
• 依托单位国家: 德国
• 项目类别: Priority Programmes
• 财政年份: 2009
• 资助国家: 德国
• 起止时间: 2008-12-31 至 2014-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/140842510?language=en
• 关键词: Power; Adjustment; Constructive; Interference; Alignment

This project is dedicated to the novel communication principle of Interference Alignment. We assemble a conceptual model for wireless communication systems supporting Interference Alignment and its theoretical embedding into existing communication frameworks. The new model is called cyclic polynomial channel model.In our recent work, we developed a Cyclic Interference Alignment scheme and a Cyclic Interference Neutralization scheme for the proposed channel model. Therein, we were able to show the optimality of the new communication scheme under certain assumptions on the channelproperties. These results conform the Interference Alignment principle, but from a new perspective.In the present project proposal, we propose a major extension of the given model in order to investigate more general multi-user scenarios. Initially, we start with the most basic unicast, single-hop and unidirectional communication schemes. In the subsequent step, we will include multicast, multi-hop, feedback and multi-way communication schemes. On the basis of these models, we will derive optimal communication strategies. Our investigations will provide an elaborate theoretical framework for wireless communications that motivates practical schemes for Interference Alignment and identifies their respective limitations.

本课题致力于干扰对齐这一新型通信原理的研究。我们组装了一个支持干扰对齐的无线通信系统的概念模型，并将其理论嵌入到现有的通信框架中。新模型被称为循环多项式信道模型。在我们最近的工作中，我们针对所提出的信道模型提出了循环干扰对齐方案和循环干扰中和方案。其中，我们能够证明新的通信方案在某些关于信道性质的假设下是最优的。这些结果符合干扰对齐原则，但从一个新的角度。在本项目建议书中，我们提出了对给定模型的主要扩展，以研究更一般的多用户场景。首先，我们从最基本的单播、单跳和单向通信方案开始。在接下来的步骤中，我们将包括多播、多跳、反馈和多路通信方案。在这些模型的基础上，我们将得到最优的通信策略。我们的研究将为无线通信提供一个详细的理论框架，以激励实际的干扰对齐方案，并确定它们各自的局限性。