Collaborative Research: Cognititve Ad Hoc Networks: Capacity Optimization Through Local Adaptation

协作研究：认知自组织网络：通过本地适应进行容量优化

• 批准号: 0635003
• 负责人: Steven Weber
• 金额: $ 12万
• 依托单位: Drexel University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-10-01 至 2011-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0635003&HistoricalAwards=false
• 关键词: Collaborative; Research; Cognititve; Ad; Hoc

Title: Collaborative Research: Cognitive Ad Hoc Networks: Capacity Optimization Through Local Adaptation0635003, Weber0634979, Andrews0634763, JindalDue to the unpredictability of the environment in which unplanned (ad hoc) wireless networks will operate, an appealing approach is to allow the network to dynamically adapt to the perceived conditions. We define such ad hoc networks as cognitive. A framework is developed for understanding the benefits of local adaptation, by breaking adaptive techniques into the four major degrees of freedom available to the designer: time, frequency, code, and space. The aim is to address the following two questions. First, what are the fundamental limits on information flow through unplanned networks; in particular, how valuable is localized information and coordination in seeking to achieve this limit? Second, what are the relative values of adaptation in time, space, frequency, and code in terms of information flow; in particular, how does the network designer identify which degree of freedom is most valuable in a variety of networking scenarios?In this research, information theory and stochastic geometry are connected through a novel metric for ad hoc network capacity, termed the transmission capacity. This metric captures the maximum spatial intensity of transmissions subject to a specified outage probability. While related to other popular capacity metrics, notably the transport capacity, the transmission capacity is unique in its allowance of explicit and accurate characterization of capacity for any conceivable communication scheme or transmission environment. The transmission capacity is an indispensable unifying metric for this analysis since i) it allows closed-form results, ii) does not require any global coordination or optimization, iii) accurately models the interference environment of an ad hoc network. These innovations will allow a basis for more efficient wireless network design.

标题：协作研究：认知临时网络：通过本地适应的能力优化0635003，WEBER0634979，ANDREWS0634763，JINDALDUE对环境的不可预测性的不可预测性（AD HOC）无线网络将允许进行动态适应的环境，以允许使用该网络，以易于适应。我们将这样的临时网络定义为认知。开发了一个框架，以通过将自适应技术分解为设计师可获得的四个主要自由度：时间，频率，代码和空间。 目的是解决以下两个问题。 首先，通过计划外网络的信息流的基本限制是什么？特别是，在寻求实现这一限制时，本地信息和协调有多有价值？ 其次，在信息流方面，适应性的相对值是什么？特别是，网络设计人员如何在各种网络方案中确定哪种自由度最有价值？在这项研究中，信息理论和随机几何形状通过新颖的指标用于临时网络容量，称为传输能力。 该度量捕获了受指定的停电概率约束的传输的最大空间强度。 虽然与其他流行能力指标有关，尤其是运输能力，但传输能力在其明确和准确的能力表征的允许允许下是独一无二的。对于此分析，传输容量是必不可少的统一度量，因为i）允许封闭形式的结果，ii）不需要任何全局协调或优化，iii）准确地模拟了临时网络的干扰环境。 这些创新将为更有效的无线网络设计提供基础。