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

职务名称：合作研究：认知Ad Hoc网络：通过本地适应的容量优化0635003，Weber 0634979，Andrews 0634763，Jindal由于计划外（ad hoc）无线网络将在其中操作的环境的不可预测性，一种吸引人的方法是允许网络动态地适应感知的条件。我们将这种自组织网络定义为认知网络。通过将自适应技术分解为设计者可获得的四个主要自由度：时间、频率、代码和空间，开发了一个框架来理解局部适应的好处。 目的是解决以下两个问题。 第一，通过未规划的网络的信息流动的基本限制是什么;特别是，在寻求实现这一限制时，本地化的信息和协调有多大价值？ 第二，在信息流方面，时间、空间、频率和代码的适应性的相对价值是什么？特别是，网络设计人员如何确定在各种网络场景中哪种自由度最有价值？在这项研究中，信息论和随机几何连接通过一种新的度量ad hoc网络的容量，称为传输容量。 该度量捕获服从指定中断概率的传输的最大空间强度。 虽然与其他流行的容量度量相关，特别是传输容量，但传输容量在其允许任何可想象的通信方案或传输环境的容量的明确和准确表征方面是独特的。传输容量是这种分析不可或缺的统一度量，因为i）它允许封闭形式的结果，ii）不需要任何全局协调或优化，iii）准确地建模自组织网络的干扰环境。 这些创新将为更有效的无线网络设计奠定基础。

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.