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

标题：协作研究：认知自组织网络：通过本地适配进行容量优化0635003，Weber0634979，Andrews0634763，Jindal由于非计划(自组织)无线网络运行环境的不可预测性，一种吸引人的方法是允许网络动态地适应所感知的条件。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用的四个主要自由度：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。其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；尤其是，本地化信息和协调在寻求实现这一限制方面的价值有多大？其次，在信息流方面，自适应在时间、空间、频率和代码上的相对价值是什么？尤其是，网络设计者如何确定在各种网络场景中哪个自由度最有价值？在本研究中，信息论和随机几何通过一种新的自组织网络容量度量连接在一起，称为传输容量。此度量捕获受指定中断概率影响的传输的最大空间强度。虽然与其他流行的容量度量有关，尤其是传输容量，但传输容量的独特之处在于它允许对任何可想到的通信方案或传输环境的容量进行明确和准确的表征。传输容量是该分析不可或缺的统一度量，因为i)它允许闭合形式的结果，ii)不需要任何全局协调或优化，iii)准确地对自组织网络的干扰环境建模。这些创新将为更高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.