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: 9979363
• 负责人: Gregory Wornell
• 金额: --
• 依托单位: Massachusetts Institute of Technology
• 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 2003-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9979363&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

这项研究的总体科学目标是开发理论和方法，以优化利用分布式物理层资源，以在高吞吐量、混合业务、移动、多媒体和无线通信网络中提供整体效率。这些资源包括功率、带宽、空间、服务质量(速率、保真度、延迟)和复杂性。现有的设计和管理无线网络资源的方法严重不足以满足对未来网络的预测需求，未来网络将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时，本研究开发的理论和方法为开发下一代商业通信网络提供了关键要素。本研究集中于开发各种形式的干扰的动态、网络级别和特定于内容的管理(即分配、控制和缓解)的算法，这些干扰最终严重限制了无线网络的性能。这些干扰包括时变多径、用户间干扰和网络外干扰。空间分集是无线网络中用于有效干扰管理的最重要的机制之一，本调查强调以全球有效的方式使用这种形式的分集。目前正在研究几个具体和相互关联的研究主题。这些措施包括设计和利用“虚拟阵列”，该“虚拟阵列”将跨越蜂窝边界的物理资源结合在一起以提高整体网络性能，对干扰进行管理(即控制和分配)，以及创建和利用多媒体业务中特定于内容的特性(主要通过时空编码)，以提高整体网络吞吐量。总体而言，这些不同的问题带来了大量重要的研究挑战，并带来了极大地提高下一代无线网络整体性能的非凡机遇。这项研究所暗示的协议超越了传统OSI通信层次结构中的各个层，并涉及这些层之间的强烈交互。共同主要调查者：H.文森特·普尔，普林斯顿大学M.D.特罗特，Arraycomm，Inc.G.W.Wornell，麻省理工学院A.Zakhor，加州大学伯克利分校