Coded multi-terminal communication systems: theory, applications and experiments

编码多终端通信系统：理论、应用和实验

• 批准号: 238968-2006
• 负责人: Bajcsy, Jan
• 金额: $ 1.97万
• 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: 2008
• 资助国家: 加拿大
• 起止时间: 2008-01-01 至 2009-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=394147
• 关键词: Coded; multi; terminal; communication; systems

A vast majority of practical communication scenarios involves multiple terminals and/or users, e.g., in wireless and optical data access networks, in transmission over multi-antenna (MIMO) channels, in distributed compression of correlated surveillance images or sensor measurements.  Results in network information theory (information theory of multi-terminal systems) indicate that appropriate multi-terminal coding can result in huge performance gains, in terms of transmission rates, compressibility, achievable spectral efficiencies, etc., when compared to communication architectures based on traditional single-terminal communication techniques. These gains are often of the order of magnitude, e.g., the aggregate throughput of a multi-access channel with Gaussian noise can be theoretically increased by as much as 20 times with multi-user decoding, when compared to traditionally used random access network protocols or single-user based CDMA transmission. Similarly, space-time codes and MIMO communication systems can offer more than ten-fold increases in capacities and spectral efficiencies of wireless communication links. Finally, efficient distributed compression in wireless sensor networks can be only achieved with appropriate network coding for the Slepian-Wolf problem.              Realizing the mentioned large performance gains leads often to open problems and novel unexplored scenarios in communication systems theory, coding, modulation/demodulation, compression, etc. The main objective of this proposal is to continue building a research program in coded multi-terminal systems, i.e., communication systems that involve more than one transmitter and/or receiver. The principal investigator aims to use the momentum and expertise in this area, obtained by him and his research team during the past 5 years. We have successfully demonstrated several world firsts, e.g., turbo compression in the Slepian-Wolf problem, overloaded OCDMA network transmission with multi-access channel coding,  near-capacity transmission for uplink MIMO systems with tens of antennas yet practical complexity.                The specific research objectives and approaches of this proposal can be outlined as follows: 1) THEORY: (a) Design near-Shannon limits achieving turbo codes and iterative decoding algorithms for selected multi-terminal problems of practical interest;  (b) Derive analytical, closed form BER evaluation techniques for turbo coded multi-terminal systems; (c) Perform robustness and sensitivity analysis of system parameters using applied tools from information theory.   2) APPLICATIONS: Apply the designed turbo codes, decoding algorithms and/or performance evaluation techniques to communication problems of practical interest, e.g., (a) MIMO-based wireless data access networks envisioned for the 3G and 4G cellular standards; (b) Overloaded optical CDMA network transmission; (c) Magnetic and optical recording systems with multiple tracks and read-heads; (d) Error robust and distributed turbo compression techniques for surveillance data and wireless sensor networks. 3) EXPERIMENTS: Using our recently set-up FPGA-based hardware-software platform for multi-terminal algorithm development and real-time testing (a) Develop real-time implementations of the proposed coded techniques; (b) Test these techniques in real-time, emulated communication scenarios using off-line channel measurements and real data sources; (c) Enable and participate in potential transfer of developed technologies to system demonstrators and prototyping platforms.             In terms of the significance of the proposed research program, global communication systems are progressing rapidly towards high-speed digital services available anytime and anywhere. Every year, these systems are generating multibillion dollar revenues and rely on system level solutions which are specific to the particular communication scenario (wireless, optical or recording; voice, data or video; uplink or downlink; macro, micro or pico cell, etc.)   Expected theoretical and applied contributions are in coding, modulation and performance evaluation of multi-terminal communication systems. Obtained research results are expected to have impact on the low complexity design of power and bandwidth efficient transceivers for the global communication infrastructure.   In addition, graduate (and undergraduate) students trained in close mentorship during the proposed program and supported via the requested funding will be in demand by prestigious research labs and telecom companies, as indicated by the principal investigator's track record over past 5 years.

绝大多数实际通信场景涉及多个终端和/或用户，例如，在无线和光学数据接入网络中，在多天线（MIMO）信道上的传输中，在相关监视图像或传感器测量的分布式压缩中。网络信息理论（多终端系统的信息理论）中的结果表明，适当的多终端编码可以在传输速率、压缩性、可实现的频谱效率等方面导致巨大的性能增益，当与基于传统单终端通信技术的通信体系结构相比时。这些增益通常是数量级的，例如，当与传统使用的随机接入网络协议或基于单用户的CDMA传输相比时，具有高斯噪声的多址信道的总吞吐量在多用户解码的情况下理论上可以增加多达20倍。类似地，空时码和MIMO通信系统可以提供无线通信链路的容量和频谱效率的十倍以上的增加。最后，有效的分布式压缩在无线传感器网络中，只能实现适当的网络编码的Slepian-Wolf问题。 实现上述大的性能增益往往导致开放的问题和新的通信系统理论，编码，调制/解调，压缩等未开发的情况下，本提案的主要目标是继续建立一个研究计划，在编码的多终端系统，即，通信系统包括多于一个的发射机和/或接收机。首席研究员的目标是利用他和他的研究团队在过去5年中获得的动力和专业知识。我们已经成功地展示了多项世界第一，例如，Slepian-Wolf问题中的turbo压缩、具有多址信道编码的过载OCDMA网络传输、具有数十个天线的上行链路MIMO系统的近容量传输，但实际复杂性。 本文的具体研究目标和方法可以概括为：1）理论：（a）针对实际应用中的多终端问题，设计接近香农限的Turbo码和迭代译码算法：（B）推导Turbo码多终端系统的解析、封闭形式的误码率估计方法;（c）利用信息理论的应用工具，对系统参数进行稳健性和敏感性分析。 2）应用领域：将所设计的turbo码、解码算法和/或性能评估技术应用于实际感兴趣的通信问题，例如，(a)为3G和4G蜂窝标准设想的基于MIMO的无线数据接入网络;（B）超负荷光CDMA网络传输;（c）具有多磁道和读取头的磁和光记录系统;（d）用于监视数据和无线传感器网络的抗错误分布式涡轮压缩技术。3)实验：使用我们最近建立的基于FPGA的硬件-软件平台进行多终端算法开发和实时测试（a）开发所提出的编码技术的实时实现;（B）使用离线信道测量和真实的数据源在实时仿真通信场景中测试这些技术;（c）实现并参与开发的技术向系统演示者和原型平台的潜在转移。 就拟议研究计划的意义而言，全球通信系统正朝着随时随地提供高速数字服务的方向迅速发展。这些系统每年产生数十亿美元的收入，并依赖于特定于特定通信场景（无线、光学或录音;语音、数据或视频;上行链路或下行链路;宏、微或皮科小区等）的系统级解决方案。 预期的理论和应用贡献是在编码，调制和多终端通信系统的性能评估。所获得的研究结果预计将对全球通信基础设施的功率和带宽高效收发器的低复杂度设计产生影响。 此外，研究生（和本科生）在拟议的计划期间接受密切指导培训，并通过所要求的资金支持，将受到著名研究实验室和电信公司的需求，正如首席研究员过去5年的跟踪记录所示。