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: 1319104
• 负责人: Syed Jafar
• 金额: $ 24.98万
• 依托单位: University of California-Irvine
• 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 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1319104&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收益进行全面研究，并制定可利用它们的战略。该项目分为三个互补的主旨，重点关注 1) 动态渠道、2) 动态渠道知识和 3) 混合渠道知识。第一个推动力寻求利用信道变化的方法，从无限范围内的简单且最优的联合编码方案开始，从实践的角度出发，在有限范围内实现高效的编码方案，从理论的角度来看，形成信息的替代规范模型。对静态设置难以处理的网络的理论见解。第二个重点寻求如何利用渠道知识的交替模式，无论是自然产生于渠道动态，还是通过不同用户组的交替反馈有意强制执行，以确定随着时间的推移，渠道知识传播的最有效形式。第三个重点探讨了如何利用不同形式的信道知识的同时可用性，这些知识以前只是孤立地研究的，因此与相互不兼容的编码方案相关联。现有的无线网络正在努力跟上爆炸性的数据。为了满足日益移动和信息依赖的社会的速率需求，必须发现扩展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。经典方法是孤立地研究这些网络的基本要素：将一个基本的多状态网络分解为其组成状态，并单独研究每个状态。这种减少的动机通常来自于传统观点：1）单独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有助于理解它们的集体行为。令人惊讶的是，最近的研究表明，这种智慧在两方面都可能产生误导：多国家网络往往不仅更容易处理、更实用、更有洞察力，而且还表现出显着的协同收益，这是通过对组成国家的孤立研究无法获得的。通过将重点从静态模型转移到动态模型，拟议的研究将增进我们对无线干扰网络的信息论限制的理解，其中静态设置的棘手性长期以来阻碍了进展。由于跨多个状态的联合编码通常更简单、更有洞察力和实用性，因此它将使信息论结果更接近实践。多个状态的共同考虑将为正确核算信道知识的开销和收益提供基础。这些研究工作得到了外展工作的补充，其中包括传统活动（例如国际会议和暑期学校的教程）和新颖的尝试（例如出版有关干扰管理的电子书）。