CAREER:Variational Inequalities: A New Paradigm for Cognitive Network Layering

职业：变分不等式：认知网络分层的新范式

• 批准号: 1254739
• 负责人: Gesualdo Scutari
• 金额: $ 40万
• 依托单位: SUNY at Buffalo
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-02-15 至 2015-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1254739&HistoricalAwards=false
• 关键词: CAREER; Variational; Inequalities; New; Paradigm

Objective. The goal of this project is to progress towards a systematic and better understanding of distributed cognitive layering and consequent network architecture decompositions, based on the advanced theory of Variational Inequalities. The ultimate objective is developing a new methodology to formulate, study, and solve in a distributed way generic cross-layer designs of cognitive ad-hoc networks (including the optimization of the sensing process), building on a novel framework that collectively is termed hierarchical Variational Inequalities. Intellectual Merit. The theory of Variational Inequalities provides a broad mathematical framework for a host of formulations of practical interest, such as classical nonlinear optimization, equilibrium, and game-theoretic problems. The proposed hierarchical Variational Inequality problem offers thus a constructive and powerful platform to investigate several novel cross-layer designs, and provides an alternative and promising direction to deal with the fundamental issues of traditional NUM designs.Broader Impact. Success in the proposed research effort has the potential to change how to teach and design cognitive wireless networks. This research will enable efficient, rigorous, and cost-effective new approaches for the design of complex networks, which will represent a shift from current heuristic based approaches. Moreover, bringing for the first time Variational Inequalities in engineering disciplines, the project will promote cross-fertilization among different research fields, such as signal processing, optimization, game and decision theory, and networking, offering to researchers in these communities a constructive and powerful platform for fruitful developments. The research project is well rounded by a complementary educational program that targets both undergraduate and graduate students.

客观的。 该项目的目的是基于变异不平等的先进理论，朝着对分布式认知分层和随之而来的网络体系结构分解的进展。最终目标是开发一种新的方法，以分布式的方式来制定，研究和解决认知临时网络的通用跨层设计（包括对传感过程的优化），建立在一个统称为层次变异不平等的新型框架上。智力优点。变分不平等的理论为多种实际兴趣的表述提供了一个广泛的数学框架，例如经典的非线性优化，平衡和游戏理论问题。 拟议的层次分层不平等问题提供了一个建设性且强大的平台，以调查几种新颖的跨层设计，并为处理传统NUM Designs的基本问题提供了一个替代和有希望的方向。拟议的研究工作中的成功有可能改变如何教授和设计认知无线网络。这项研究将使复杂网络设计有效，严格且具有成本效益的新方法，这将代表与当前基于启发式的方法的转变。此外，该项目首次引起工程学科的变异不平等，将促进不同研究领域之间的交叉施用，例如信号处理，优化，游戏和决策理论以及网络，向这些社区中的研究人员提供建设性和强大的平台，这是一个建设性和强大的平台。该研究项目由一个针对本科生和研究生的互补教育计划彻底全面。