Tensor modulation for space-time-frequency communication systems

空时频通信系统的张量调制

• 批准号: RGPIN-2016-03647
• 负责人: Leib, Harry
• 金额: $ 2.26万
• 依托单位: McGill University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=708830
• 关键词: Tensor; modulation; space; time; frequency

In the last five years we have witnessed an increased interest in next generation (5G) wireless communication systems. It is envisaged that 5G systems will constitute a paradigm shift in this important sector of telecommunications. Because of the significant increase in data rates that 5G systems will have to accommodate and the constraints imposed by radio spectrum scarcity, the required bandwidth efficiency in 5G systems will have to be extremely high. In order to achieve the requirements for 5G, all the resources available in the time, frequency and space domains must be utilized efficiently. The objective of the proposed research is to develop a tensor framework for Space-Time-Frequency (STF) modulation schemes that not only will aid the design of communication systems for 5G, but will also provide a novel structured approach and insight to the use of STF resources for transmission of information. Canada, through its world renowned industry, has been a major player in wireless telecommunication over many years, a position that it is important to maintain also in research towards 5G systems. This work addresses issues that are critical to the development of 5G wireless communication systems, creating value for the Canadian economy in the form of a strategic knowledge advantage that is essential for the development of products in this important technological area. A tensor is a multi-dimensional array. In the proposed framework, an STF channel symbol is a three dimensional array, spanning the time frequency and space domains. A three dimensional array corresponds to a tensor of order 3, and opens the possibility of using powerful mathematical techniques, such as tensor decompositions. The proposed work will provide a unified framework for STF modulation, with immediate application to 5G systems, and will allow the development of signal processing algorithms required for implementation of such schemes. The strong mathematical foundations of this framework will also make possible to gain important insights into the subject of STF communication systems in general, and will impact the design of such systems for 5G, and beyond. The proposed work addresses theoretical aspects, as well as practical issues that are required to use the results of this research for standardization activities, and the design of 5G wireless communication systems.

在过去的五年中，我们目睹了人们对下一代（5G）无线通信系统的兴趣日益浓厚。据设想，5G系统将构成这一重要电信部门的范式转变。由于5G系统必须适应的数据速率显着增加以及无线电频谱稀缺所施加的限制，5G系统所需的带宽效率必须非常高。为了实现5G的要求，必须有效利用所有可用的时间、频率和空间资源。该研究的目标是为空时频（STF）调制方案开发一个张量框架，这不仅有助于5G通信系统的设计，而且还将为使用STF资源传输信息提供一种新颖的结构化方法和见解。多年来，加拿大凭借其享誉世界的产业，一直是无线电信领域的主要参与者，在5G系统的研究中保持这一地位也很重要。这项工作解决了对5G无线通信系统发展至关重要的问题，以战略知识优势的形式为加拿大经济创造价值，这对于开发这一重要技术领域的产品至关重要。