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

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.

该项目的目标是对多国通信网络的协同增益进行全面研究，并制定可以利用这些增益的战略。该项目分为三个互补的重点，重点是1）动态渠道，2）动态渠道知识，3）混合渠道知识。第一个推力寻求方法来利用信道的变化，从简单和最佳的联合编码方案开始，在无限的视野和领导，从实践的角度来看，有效的编码方案，在有限的视野，并从理论的角度来看，替代规范模型的信息理论的见解，网络的静态设置一直是棘手的。第二个推力寻求利用渠道知识的交替模式的方法，无论是自然产生的渠道动态或故意强制通过交替反馈不同群体的用户，以确定最有效的形式传播的渠道知识随着时间的推移。第三个推力探索了利用不同形式的信道知识的同时可用性的方法，这些信道知识以前只被孤立地研究，因此与相互不兼容的编码方案相关联。随着现有的无线网络努力跟上日益移动的和信息依赖社会的爆炸式数据速率需求，必须发现扩大下一代系统吞吐量的新机会。任何此类努力都必须应对无线网络的巨大复杂性，例如时变衰落、动态网络状态以及跨用户的多种形式的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元素：将一个基本的多状态网络分解成其组成状态，并单独研究每个状态。这种简化的动机通常来自传统智慧，即1）孤立地研究每个元素比一起研究它们更容易，2）单独理解每个元素将导致对其集体行为的理解。令人惊讶的是，最近的研究表明，这种智慧在这两方面都可能产生误导：多状态网络通常不仅更易于处理，更实用，更有洞察力，而且还表现出显着的协同效应，这是通过对组成状态的孤立研究无法实现的。通过将重点从静态转移到动态模型，拟议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，其中静态设置的棘手性长期阻碍了进展。由于跨多个状态的联合编码通常更简单，更有见地，更实用，它将使信息理论的结果更接近实践。联合考虑多个状态将为正确核算渠道知识的管理费用和收益提供基础。这些研究工作得到了外联工作的补充，外联工作既包括传统活动，如在国际会议和暑期学校上提供辅导，也包括新的尝试，如出版一本关于干扰管理的电子书。