Network-Level and Content-Based Approaches to Diversity and Interference Management

网络级和基于内容的多样性和干扰管理方法

• 批准号: 9979442
• 负责人: Avideh Zakhor
• 金额: $ 20万
• 依托单位: University of California-Berkeley
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-09-15 至 2003-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9979442&HistoricalAwards=false
• 关键词: Network; Level; Content; Based; Approaches

The overall scientific objective of this study is to develop theory and methodology for optimum utilization of distributed physical-layer resources to provide overall efficiency in high-throughput, mixed traffic, mobile, multimedia, wireless communication networks. These resources include power, bandwidth, space, quality of service (rate, fidelity, delay), and complexity. Existing methodologies for the design and management of wireless network resources are grossly inadequate for dealing with the demands projected for future networks that will need to deliver high-quality voice and multimedia services to large numbers of mobile subscribers. Thus, in providing a basis for significant improvement in network throughput and flexibility, the theory and methods developed under this study provide crucial elements for the development future generations of commercial communication networks.This research is focused on the development of algorithms for dynamic, network-level, and content-specific management (i.e., allocation, control and mitigation) of the various forms of interference that ultimately and severely limit wireless network performance. These include time-varying multipath, inter-user interference, and extra-network interference. Spatial diversity is among the most important mechanisms within wireless networks for effective interference management, and this investigation stresses use of this form of diversity in a globally efficient manner. Several specific and interrelated research themes are under study. These include the design and exploitation of "virtual arrays" that combine physical resources across cellular boundaries to enhance overall network performance, the management (i.e., the control and allocation) of interference, and the creation and exploitation of content-specific characteristics in multimedia traffic (primarily through space-time coding) for the enhancement of overall network throughput. Collectively, these diverse issues present a wealth of important research challenges and represent extraordinary opportunities to dramatically enhance the overall performance of next-generation wireless networks. The protocols implied by this research transcend individual layers in the traditional OSI communication hierarchy and involve strong interaction among these layers.Co-Principal Investigators:H. Vincent Poor, Princeton University M. D. Trott, Arraycomm, Inc. G. W. Wornell, Massachusetts Institute of Technology A. Zakhor, University of California, Berkeley

本研究的整体科学目标是发展最佳利用分布式物理层资源的理论和方法，以提供高吞吐量，混合流量，移动，多媒体，无线通信网络的整体效率。这些资源包括电力、带宽、空间、服务质量（速率、保真度、延迟）和复杂性。设计和管理无线网络资源的现有方法对于处理未来网络的预期需求是严重不足的，因为未来网络需要向大量移动用户提供高质量的语音和多媒体服务。因此，在为显著提高网络吞吐量和灵活性提供基础的同时，本研究所开发的理论和方法为未来几代商业通信网络的发展提供了关键要素。本研究的重点是开发动态、网络级和特定内容管理（即分配、控制和缓解）的算法，以应对最终严重限制无线网络性能的各种形式的干扰。这些干扰包括时变多径、用户间干扰和网络外干扰。空间多样性是无线网络中有效干扰管理的最重要机制之一，本研究强调以全球有效的方式使用这种形式的多样性。目前正在研究若干具体和相互关联的研究主题。其中包括设计和利用“虚拟阵列”，将跨越蜂窝边界的物理资源结合起来以增强整体网络性能，管理（即控制和分配）干扰，以及创建和利用多媒体流量中的特定内容特征（主要通过空时编码）以增强整体网络吞吐量。总的来说，这些不同的问题提出了大量重要的研究挑战，并代表了显著提高下一代无线网络整体性能的非凡机会。本研究隐含的协议超越了传统OSI通信层次中的单个层，并涉及这些层之间的强交互。首席调查人员:H。Vincent Poor，普林斯顿大学医学博士Trott， Arraycomm, Inc。G. W. Wornell，麻省理工学院A. Zakhor，加州大学伯克利分校