Reliable Information Transmission Techniques for Multi-Terminal Communication

多终端通信的可靠信息传输技术

• 批准号: RGPIN-2015-05492
• 负责人: Bajcsy, Jan
• 金额: $ 1.6万
• 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: 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=613584
• 关键词: Reliable; Information; Transmission; Techniques; Multi

This proposed research program focuses on increasing data transmission speeds in future wireless and optical communication systems through the use of advanced coding, modulation and signal processing techniques. The program objectives focus on design and application of communication and signal processing techniques that can better utilize both the existing and emerging communication spectrum. As opposed to traditional communication systems, where data are transmitted at so called Nyquist rate which is equal to twice the available communication channel bandwidth, this research program focuses on Faster-than-Nyquist communication, where  data are sent over a physical communication channel at rates exceeding the Nyquist rate. The Faster-than-Nyquist transmission approach has an inherent potential to significantly increase the speed of communication, but exceeding the Nyquist rate limit leads to very severe inter-symbol interference that prevented practical development and utilization of these communication systems until very recently.   In particular, multi-terminal, multi-user and continuous-time structure of the physical communication channels will be modeled when Faster-than-Nyquist transmission is utilized. The obtained new channel models will be for communication in one-to-many (uplink), many-to-one (downlink) and many-to-many (relay, collaborative and/or multi-antenna) settings, which have not been studied for the Faster-than-Nyquist transmission by others. The obtained channel models will be  analyzed for their channel capacity and interference structure, then exploited in order to achieve order of magnitude improvements in obtained communication bandwidth utilization (spectral efficiency) and user data rates. Furthermore, design of concatenated error-control codes (e.g., turbo, low-density parity check, Raptor and/or polar), advanced modulation techniques for faster-than-Nyquist transmission, iterative turbo signal processing and multi-antenna/port technology will result in system architectures that can practically achieve envisioned goals of system level improvements. The obtained research results and techniques will lead to better communication spectrum utilization and faster communication speeds. This work  and its applications will be of interest and benefit to telecommunication equipment and infrastructure manufacturers in Canada (e.g., Ericsson Canada, Huawei, Ciena, Blackberry) and will also provide benefits to telecom service providers (e.g., Bell Canada, Videotron, Rogers, Telus). Throughout the proposed research program, graduate students (5 PhD and 10 MEng level) and 10 research undergraduate students will be trained, acquiring cutting edge knowledge and research skills in communication systems,  signal processing and coding techniques that will enable them to obtain future employment in industry and academia.

该研究计划的重点是通过使用先进的编码、调制和信号处理技术来提高未来无线和光通信系统的数据传输速度。该计划的目标侧重于通信和信号处理技术的设计和应用，以更好地利用现有和新兴的通信频谱。 传统通信系统中数据以所谓的奈奎斯特速率（等于可用通信信道带宽的两倍）传输，而该研究计划的重点是比奈奎斯特通信更快，其中数据以超过奈奎斯特速率的速率通过物理通信信道发送。比奈奎斯特传输速度更快的传输方法具有显着提高通信速度的固有潜力，但超过奈奎斯特速率限制会导致非常严重的符号间干扰，从而阻碍了这些通信系统的实际开发和使用，直到最近。   特别地，当利用比奈奎斯特更快的传输时，将对物理通信信道的多终端、多用户和连续时间结构进行建模。获得的新信道模型将用于一对多（上行链路）、多对一（下行链路）和多对多（中继、协作和/或多天线）设置中的通信，其他人尚未研究过比奈奎斯特传输更快的传输。将分析所获得的信道模型的信道容量和干扰结构，然后利用这些模型来实现所获得的通信带宽利用率（频谱效率）和用户数据速率的数量级改进。此外，级联错误控制码的设计（例如 Turbo、低密度奇偶校验、Raptor 和/或 Polar）、用于比奈奎斯特传输更快的先进调制技术、迭代 Turbo 信号处理和多天线/端口技术将产生实际上可以实现系统级改进的预期目标的系统架构。 所获得的研究成果和技术将带来更好的通信频谱利用率和更快的通信速度。这项工作及其应用将引起加拿大电信设备和基础设施制造商（例如爱立信加拿大、华为、Ciena、黑莓）的兴趣并从中受益，也将为电信服务提供商（例如贝尔加拿大、Videotron、Rogers、Telus）带来好处。在拟议的研究计划中，研究生（5 名博士和 10 名硕士）和 10 名研究型本科生将接受培训，获得通信系统、信号处理和编码技术方面的前沿知识和研究技能，使他们能够在工业界和学术界获得未来的就业机会。