CIF: Small: Collaborative Research: Exploring Synergies of Multi-State Networks

CIF：小型：协作研究：探索多国网络的协同作用

• 批准号: 1320773
• 负责人: Bobak Nazer
• 金额: $ 25万
• 依托单位: Trustees of Boston University
• 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: 2013-09-01 至 2017-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1320773&HistoricalAwards=false
• 关键词: CIF; Small; Collaborative; Research; Exploring; CIF; Small; Collaborative; Research; Exploring

The objective of this project is to undertake a comprehensive study of synergistic gains for multi-state communication networks and develop strategies that can exploit them. The project is organized into three complementary thrusts, focusing on 1) dynamic channels, 2) dynamic channel knowledge, and 3) mixed channel knowledge. The first thrust seeks ways to exploit channel variations starting with simple and optimal joint coding schemes over infinite horizons and leading, from a practical perspective, to efficient coding schemes over finite horizons, and, from a theoretical perspective, to alternative canonical models for information-theoretic insights into networks where the static setting has been intractable. The second thrust seeks ways to exploit alternating patterns of channel knowledge, either arising naturally out of channel dynamics or deliberately enforced through alternating feedback from different groups of users, to identify the most efficient forms of channel knowledge spread over time. The third thrust explores ways to exploit the simultaneous availability of distinct forms of channel knowledge, that have previously been studied only in isolation, and are therefore associated with coding schemes that are mutually incompatible.With existing wireless networks struggling to keep up with the exploding data rate demands of an increasingly mobile and information-dependent society, it is imperative to uncover new opportunities for expanding the throughputs of next-generation systems. Any such effort must grapple with the enormous complexity of wireless networks, such as time-varying fading, dynamic network states, and the availability of many forms of network state information across users. The classical approach is to study the essential elements of these networks in isolation: decomposing a fundamentally multi-state network into its constituent states and studying each state individually. The motivation for this reduction typically comes from the conventional wisdom that 1) studying each element in isolation is easier than studying them together, and 2) understanding each element individually will lead to an understanding of their collective behavior. Surprisingly, recent work has shown that this wisdom can be misleading on both counts: multi-state networks are often not only more tractable, practical, and insightful, but also demonstrate significant synergistic gains that are not accessible through isolated studies of the constituent states. By shifting the focus from static to dynamic models, the proposed research will advance our understanding of information-theoretic limits of wireless interference networks where the intractability of the static setting has long stunted progress. Because joint coding across multiple states is often simpler, more insightful, and practical, it will bring the information-theoretic results closer to practice. A joint consideration of multiple states will provide the foundation for proper accounting of the overheads and benefits of channel knowledge. These research efforts are complemented by outreach efforts that include a mixture of traditional activities, such as tutorials at international conferences and summer schools, and novel ventures, such as the publication of an e-book on interference management.

该项目的目的是对多国家通信网络的协同收益进行全面研究，并制定可以利用它们的策略。该项目分为三个互补的推力，重点是1）动态通道，2）动态通道知识和3）混合通道知识。第一个推力寻求方法来利用通道变化，从无限的地平线上简单，最佳的关节编码方案开始，从实用的角度来看，从有限的视野对有效的编码方案，从理论的角度来看，从理论的角度到替代典范的信息模型，以使网络中的网络融入了静态设置。第二个推力寻求利用渠道知识的交替模式的方法，要么自然而然地是由渠道动力学出现的，要么是通过来自不同用户组的交替反馈而故意执行的，以确定随时间扩展的最有效的渠道知识形式。第三个力量探索了利用以前仅孤立研究的不同形式的渠道知识的同时可用性的方法，因此与互不兼容的编码方案有关。与现有的无线网络努力努力与越来越多的移动和信息相关的社会发展，以实现新的机会，以不断扩展，以不断扩展，这是在不断扩展的情况下，以不断扩展。任何这样的努力都必须努力应对无线网络的巨大复杂性，例如随着时间变化的褪色，动态网络状态以及跨用户的多种形式网络状态信息的可用性。经典的方法是孤立地研究这些网络的基本要素：将基本多国家网络分解为其组成状态并单独研究每个州。减少这种减少的动机通常来自传统的观点，即1）孤立研究每个元素要比一起研究每个元素更容易，以及2）分别理解每个元素将导致对他们的集体行为的理解。令人惊讶的是，最近的工作表明，这种智慧在这两项方面都可能具有误导性：多国家网络通常不仅更加易于探讨，实用和洞察力，而且还表现出显着的协同增长，而通过对构成状态的孤立研究无法获得。通过将焦点从静态模型转移到动态模型中，提出的研究将促进我们对无线干扰网络的信息理论限制的理解，而无线干扰网络的静态设置的棘手性长期以来一直保持不良。由于跨多个状态的联合编码通常更简单，更具洞察力和实用性，因此将使信息理论结果更接近实践。对多个州的共同考虑将为正确地计算渠道知识的间接费用和好处的基础。这些研究的工作得到了宣传工作的补充，包括传统活动的混合，例如国际会议和暑期学校的教程，以及新颖的企业，例如出版有关干涉管理的电子书。