Unique Factorization Theory of Signals for Energy-Efficient MIMO and Cooperative Communications

用于节能 MIMO 和协作通信的独特信号分解理论

• 批准号: 352578-2013
• 负责人: Zhang, JianKang
• 金额: $ 2.11万
• 依托单位: McMaster University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=595639
• 关键词: Unique; Factorization; Theory; Signals; Energy

With the arrival of the Information Age, the explosive demand for information and knowledge exchange in our society has created two significant challenges: (a) the ever increasing demand in transmission capacity, and (b) the demand of high quality transmission. Recent developments are the multi-input multi-output (MIMO) wireless link and cooperative relay networks which, due to their potential in meeting these challenges caused by fading channels together with power and bandwidth limitations, have become two very important areas of research. Underlying the solution to these challenging problems are the techniques of space-time modulation (space-time block coding (STBC) or matrix signal design) which have been well developed for coherent MIMO and relay systems. However, efficiently attaining perfect channel state information at the receiver that is necessary for coherent detection is, in practice, a significantly challenging issue due to the rapid variation of fading coefficients. In addition, the noise in noncoherent relay systems is no longer Gaussian. Therefore, noncoherent STBC and distributed STBC are way behind coherent STBC and distributed STBC. Thus far, the systematic designs of noncoherent STBC and distributed STBC with high rate and full diversity using energy-efficient constellations are still open and challenging problems. More importantly, no progress has been made on determining the coding structure that enables the noncoherent diversity-multiplexing tradeoff to be attained. The goal of the present proposal is to establish a totally-novel mathematical tool: unique factorization theory of matrix signals, and apply it to the systematic design of energy-efficient STBC for coherent and noncoherent MIMO and cooperative communications. Specifically, the applications will be primarily concentrated on the following three areas: (1) To systematically design high rate full diversity noncoherent STBC and distributed STBC. (2) To systematically design a family of unitary STBCs that enable the noncoherent diversity-multiplexing tradeoff. (3) To systematically design high-rate full diversity collaborative nonlinear STBC with large coding gain.

随着信息时代的到来，我们社会中对信息和知识交流的爆炸性需求带来了两个重大挑战：（a）传输能力的需求不断增长，以及（b）高质量传播的需求。最近的事态发展是多输入的多输出（MIMO）无线链接和合作中继网络，由于它们在应对这些挑战以及功率和带宽限制引起的这些挑战中的潜力已成为两个非常重要的研究领域。解决这些具有挑战性问题的解决方案的基础是时空调制的技术（时空块编码（STBC）或矩阵信号设计），这些技术已针对连贯的MIMO和继电器系统开发。但是，由于褪色系数的迅速变化，在接收器上有效地在接收器上获得完美的通道状态信息是一个挑战性的问题。此外，非相关继电器系统中的噪声不再是高斯。因此，非合并的STBC和分布式STBC落后于相干STBC和分布式STBC。到目前为止，使用节能星座的非合并STBC和分布式STBC的系统设计仍然是开放且具有挑战性的问题。更重要的是，在确定能够实现非相关多样性的折衷方案的编码结构方面没有取得任何进展。本提案的目的是建立一个完全推广的数学工具：矩阵信号的独特分解理论，并将其应用于能量有效的STBC的系统设计中，以进行连贯和非合并的MIMO和合作通信。具体而言，应用程序将主要集中在以下三个领域：（1）系统地设计高率全速度多样性非副STBC和分布式STBC。 （2）系统地设计一个统一的STBC家族，以实现非相关多样性的折衷方案。 （3）系统地设计具有大量编码增益的高速率完全多样性协作非线性STBC。