PECASE: Multi-antenna Communications: Information Theory, Codes and Signal Processing

PECASE：多天线通信：信息论、代码和信号处理

• 批准号: 0133818
• 负责人: Babak Hassibi
• 金额: $ 39.28万
• 依托单位: California Institute of Technology
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-09-01 至 2006-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0133818&HistoricalAwards=false
• 关键词: PECASE; Multi; antenna; Communications; Information

Proposal Title: PECASE: Multi-antenna communications: Information theory, codes and signal processingInstitution: California Institute of TechnologyIt is now widely recognized that multiple antennas will figure prominently in future wireless communications systems, since they can significantly boost the channel capacity, as well as lower the probability of error, of a wireless communications link. However, before the above promise can be realized in a practical communications system, there are several key research challenges that must be addressed. This research studies several of the information-theoretic, coding-theoretic, and signal processing challenges encountered, as well as the impact of integrating their solutions into a multi-user wireless network. A common thread encountered throughout is that the tools developed, as well as the results obtained, have implications well beyond multi-antenna communications--both in terms of the introduction of new mathematical methods, as well as in terms of their applicability to more general communication problems.The first research challenge addressed is information-theoretic: the actual channel capacity of a multi-antenna wireless link is known only under certain idealized conditions. For most realistic conditions, the channel capacity is unknown and it is not clear how it depends on the speed of the fading, the number of antennas, and the SNR. Nor is it clear what the optimal transmission strategies should be and what the performance of training-based schemes are. This research will focus on these problems for continuously- and block-fading channels, where the analysis appears to be tractable and where the theory of random matrices plays a major role. The second challenge is that of designing space-time codes that deliver on the high data rates promised by theory, have good error performance, and that lend themselves to efficient encoding and decoding. Compared to conventional codes, the added spatial dimension adds a whole new twist to the code design problem, and a variety of information-theoretic, linear-algebraic, and group-theoretic ideas play a prominent role. The signal processing research challenge is to devise algorithms that are efficient, so that all the processing can be done in real time. Recent work by the researcher has analytically demonstrated that, for a wide range of rates and SNRs, polynomial-time maximum-likelihood decoding of several classes of space-time codes is possible. This research will fully pursue the implications of this result, both in terms of the design of new algorithms and codes, as well as in terms of understanding the tradeoffs between maximum-likelihood performance and computational complexity.This project was originally funded as a CAREER award, and was converted to a Presidential Early Career Award for Engineers and Scientists (PECASE) award in May 2004.

提案标题：PECASE：多天线通信：信息论、编码与信号处理研究机构：加州理工学院现在人们普遍认识到，多天线将在未来的无线通信系统中占据重要地位，因为它们可以显著提高信道容量，以及降低无线通信链路的错误概率。然而，在实际通信系统中实现上述承诺之前，必须解决几个关键的研究挑战。本研究研究了几个信息理论，编码理论和信号处理遇到的挑战，以及将其解决方案集成到多用户无线网络的影响。贯穿始终的一个共同点是，所开发的工具以及所获得的结果的影响远远超出了多天线通信--无论是在新的数学方法的引入方面，还是在它们对更一般的通信问题的适用性方面。多天线无线链路的实际信道容量仅在某些理想条件下是已知的。对于大多数现实条件，信道容量是未知的，并且不清楚它如何取决于衰落的速度、天线的数量和SNR。也不清楚最佳传输策略应该是什么，以及基于训练的方案的性能如何。本研究将集中在这些问题的连续和块衰落信道，其中的分析似乎是易于处理的，随机矩阵的理论起着重要作用。第二个挑战是设计空时码，该空时码提供理论所承诺的高数据速率，具有良好的错误性能，并且有助于有效的编码和解码。与传统的代码相比，增加的空间维度为代码设计问题增加了一个全新的转折，各种信息论，线性代数和群论的思想发挥了突出的作用。信号处理研究的挑战是设计高效的算法，以便所有处理都可以真实的实时完成。研究人员最近的工作分析表明，对于广泛的速率和SNR，多项式时间最大似然解码的几类空时码是可能的。这项研究将充分追求这一结果的影响，无论是在新的算法和代码的设计方面，以及在理解最大似然性能和计算复杂性之间的权衡方面。这个项目最初是作为一个职业奖资助，并于2004年5月转换为总统早期职业奖工程师和科学家（PECASE）奖。