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、编码和信号处理机构：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，因为它们可以显着提高信道容量，并且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。这项研究研究了遇到的一些信息论、编码理论和信号处理挑战，以及将其解决方案集成到多用户无线网络中的影响。贯穿始终的一个共同点是，开发的工具以及获得的结果的影响远远超出了多天线通信——无论是在引入新的数学方法方面，还是在它们对更普遍的应用的适用性方面。通信问题。解决的第一个研究挑战是信息论：多天线无线链路的实际信道容量只有在某些理想化条件下才能知道。对于大多数现实情况，信道容量是未知的，也不清楚它如何取决于衰落速度、天线数量和 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。这项研究将重点关注连续衰落和块衰落信道的这些问题，其中分析似乎很容易处理，并且随机矩阵理论发挥着主要作用。第二个挑战是设计空时码，使其能够提供理论所承诺的高数据速率，具有良好的错误性能，并且有助于高效的编码和解码。与传统的代码相比，增加的空间维度给代码设计问题带来了全新的变化，各种信息论、线性代数和群论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，以便所有处理都能实时完成。研究人员最近的工作分析表明，对于各种速率和信噪比，几类空时码的多项式时间最大似然解码是可能的。这项研究将充分追求这一结果的影响，无论是在新算法和代码的设计方面，还是在理解最大似然性能和计算复杂性之间的权衡方面。该项目最初是作为职业奖资助的，并于 2004 年 5 月转变为工程师和科学家总统早期职业奖 (PECASE) 奖。