Intelligent and Efficient Finite Alphabet Signal Processing Technologies for Future Wireless Communications

面向未来无线通信的智能高效有限字母信号处理技术

• 批准号: RGPIN-2018-06819
• 负责人: Zhang, JianKang
• 金额: $ 2.84万
• 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: 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=714492
• 关键词: Intelligent; Efficient; Finite; Alphabet; Signal

To date, it has been envisioned that non-orthogonal multi-access (NOMA) and massive MIMO (MaMIMO) are two major potential technologies for future wireless communications, because they meet three major requirements for future wireless communications, i.e., huge data rates, massive connectivity and low latency. The current research on NOMA focuses mainly on the channel capacity for either Gaussian inputs or finite-alphabet (FA) inputs. However, the methods for the FA signals are specifically numerical. Hence, a limited insight into the relationship between the optimal sum constellation and each individual user constellation can be drawn from the obtained solutions. On the other hand, the current research on MaMIMO has indicated that one of major factors to significantly affect its performance is pilot contamination, never vanishing, even when the number of BS antennas becomes infinity. Hence, non-coherent space-time code designs were proposed for MaMIMO. However, all the current non-coherent massive space-time code (MASTC) designs suffer a severe error floor phenomenon, never disappearing, even when SNR goes to infinity. In addition, it is also not difficult for a passive eavesdropper be equipped with a massive array, thereby; potentially and physically deteriorate uplink security. To address all the aforementioned significant issues, the applicant's long-term research objective is to develop advanced finite alphabet signal-processing technologies (FAST) to intelligently and efficiently manage FA interference for a general complicated wireless network topology with the uplink or the downlink having multiple base stations from the standpoint of signal estimation and detection theory. Within the next five years, the applicant targets mainly on the following three objectives: (a) to develop new FAST for FA NOMA for uplink SISO and downlink MISO systems, (b) to develop new FAST for FA uplink MaMIMO systems, and (c) to develop new FAST for physically securing FA NOMA-MaMIMO systems. In order to achieve these three objectives, the following four technical approaches are specifically proposed, i.e., (i) additively unique decomposition theory of FA signals for the design of four kinds of optimal sum constellations, (ii) multiplicatively unique decomposition theory of FA MIMO signals for the design of three kinds of optimal MASTC, (iii) super-rectangular cover theory for FA uplink MaMIMO systems for the design of an optimal MASTC when the large-scale channel is known only at the receiver, and (iv) block-equal QRS decomposition theory of MIMO channels for the design of an optimal FA precoder with ML-based block successive cancellation detection. Therefore, this proposed research program develops completely novel FAST for intelligently and efficiently managing FA interference for multi-user communications so that all the major benefits offered by NOMA-MaMIMO can be realized.

迄今为止，人们已经设想出非正交的多访问（NOMA）和大型Mimo（Mamimo）是未来无线通信的两种主要潜在技术，因为它们符合未来无线通信的三个主要要求，即庞大的数据速率，庞大的数据速率，大量的连接性和低延迟。当前对NOMA的研究主要集中在高斯输入或有限阿格列下（FA）输入的通道容量上。但是，FA信号的方法是特异性的。因此，可以从获得的解决方案中得出对最佳总和星座与每个用户星座之间关系的有限见解。另一方面，当前对Mamimo的研究表明，显着影响其性能的主要因素之一是试验污染，即使BS天线的数量变得无穷大，也永不消失。因此，为Mamimo提出了非连贯的时空代码设计。但是，所有当前的非相关大规模时空代码（MASTC）设计均遭受严重的错误地板现象，即使SNR进入无穷大，也永远不会消失。此外，对于被动窃听器配备了大型阵列也不困难。潜在地和物理上的上行链路安全性。 为了解决上述所有重大问题，申请人的长期研究目标是开发先进的有限字母信号处理技术（FAST），以智能有效地管理FA干扰一般复杂的无线网络拓扑，或使用信号估算和检测理论的角度，具有多个基础站的下链路，具有多个基础站点。在接下来的五年内，申请人主要针对以下三个目标：（a）为fa noma开发新的快速链接SISO和下行链路误差系统，（b）为FA Uplink Mamimo Systems开发新的快速快速快速，（c）开发新的快速快速，以便在物理上固定FA Noma-Mamimo Systems。 In order to achieve these three objectives, the following four technical approaches are specifically proposed, i.e., (i) additively unique decomposition theory of FA signals for the design of four kinds of optimal sum constellations, (ii) multiplicatively unique decomposition theory of FA MIMO signals for the design of three kinds of optimal MASTC, (iii) super-rectangular cover theory for FA uplink MaMIMO systems for the design of an optimal MASTC仅在接收器上知道大尺度通道时，并且（iv）模拟QRS分解理论的MIMO通道用于设计具有ML基于ML的基于ML的块连续取消检测的最佳FA预码器的设计。 因此，该提出的研究计划开发了完全新颖的快速新颖，可以智能有效地管理对多用户通信的FA干扰，以便可以实现Noma-Mamimo提供的所有主要好处。