PECASE: New Techniques for Optimizing the Quality and Capacity of Wireless Communication Systems

由于对无线通信服务的需求呈指数级增长，优化系统质量和容量的新技术势在必行。我们提出的研究计划致力于在以下方面应对这些挑战：(I)准确的信道建模。新的多径和阴影衰落统计模型将被开发出来，它们既能准确地描述传播环境，又能用于分析。这些模型将为提出的优化技术提供基础。(Ii)无线链路的信息论。这里的目标是为无线多用户系统开发有用的信息理论极限。提出了一种基于吞吐量分析的方法，它将为无线系统的优化提供新的见解，特别是对于多速率应用。(3)无线码分多址系统的优化。将探索结合使用长扩频序列(R-码分多址)和短序列(D-码分多址)优点的混合系统。还将开发准确分析单用户和多用户检测系统的码分多址容量和覆盖范围的技术。(四)资源动态配置。在移动无线环境中，需要高效、动态地分配用于无线接入的三种主要资源--带宽、空间和功率。拟议的研究计划的一个主要目标是为动态资源分配发展一个数学基础。拟议的分散动态决策框架将对这一发展至关重要。拟议计划的教育目标是：(I)促进课堂上有意义的学习；(Ii)促进与行业的联系，使学生接触到现实世界的需求；(Iii)利用新技术扩大课堂边界；(Iv)设计课程，使学生更好地为电信领域的新机会做准备；以及(V)将研究纳入所有教育活动。

Due to the exponential growth in the demand for wireless communication services, new techniques for optimizing system quality and capacity are imperative. Our proposed research program strives to meet these challenges in the following areas: (i) Accurate channel modeling. New statistical models for multipath and shadow fading will be developed that are both accurate in describing the propagation environment and also useful in analysis. These models will provide a foundation for proposed optimization techniques. (ii) Information theory for wireless links. The goal here is to develop useful information theoretic limits for wireless multiuser systems. An approach based on throughput analysis is proposed that will yield new insights into the optimization of wireless systems, particularly for multirate applications. (iii) Optimization of Wireless Code Division Multiple Access (CDMA) systems. Hybrid systems that combine the advantages of using long spreading sequences (R-CDMA) with those of short sequences (D-CDMA) will be explored. Techniques will also be developed for the accurate analysis of CDMA capacity and coverage for both single-user and multiuser detection systems. (iv) Dynamic resource allocation. The three primary resources for wireless access -bandwidth, space and power - need to be allocated efficiently and dynamically in a mobile wireless environment. A major goal of the proposed research program is to develop a mathematical foundation for dynamic resource allocation. The proposed decentralized dynamic decision making (DDDM) framework will be essential to this development. The educational objectives of the proposed program are: (i) to promote meaningful learning in the classroom; (ii) to promote ties with industry so students are exposed to real-world needs; (iii) to exploit new technologies to expand classroom boundaries; (iv) to design classes that will better prepare students for new opportunities in telecommunications; and (v) to incorporate research in all educational activ ities.