CIF: Small: Content-centric Wireless Networks

CIF：小型：以内容为中心的无线网络

• 批准号: 1423271
• 负责人: Suhas Diggavi
• 金额: $ 50万
• 依托单位: University of California-Los Angeles
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-01 至 2018-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1423271&HistoricalAwards=false
• 关键词: CIF; Small; Content; centric; Wireless

This project seeks to advance our fundamental understanding of content-centric wireless networks. Communication networks are traditionally connection-centric, i.e., establish a reliable data connection between end-nodes. Recently, there has been a significant shift in network usage, where the users' intent is to access some specific (broadband and video) content rather than connect to a specific node. While there have been significant advances in enabling higher data rates in connection-centric wireless networks, the strategic use of storage along with jointly designed data delivery has received less attention in wireless networks. The goal of this project is to develop an information-theoretic framework for a content-centric approach to wireless, that enables a strategic positioning and use of storage jointly optimized with wireless information flow. This framework will be based on a content-distribution capacity region, which will characterize the region of transmission size versus cache storage, for different wireless network topologies, with user demands following from non-uniform content popularity profiles. We will develop both a theory and explicit strategies for content-centric wireless networks using a broad set of tools ranging from Shannon theory, network algorithms and coding as well as ideas from content-distribution network system design. The project also promotes the training of research engineers: we will integrate the research results into curricula by creating novel courses combining the underlying concepts in wireless network information flow, storage and wireless content-delivery systems.The research in this project, if successful, will contribute to the fundamental sciences of information flow and storage in wireless networks. Given the exponentially rising demand for wireless data, driven by media content, the results will serve as an enabler for wireless broadband content distribution that leverages dimensions beyond brute spectrum allocation.

该项目旨在提高我们对以内容为中心的无线网络的基本理解。 通信网络传统上是以连接为中心的，即建立最终节点之间的可靠数据连接。 最近，网络使用情况发生了重大变化，用户的意图是访问某些特定（宽带和视频）内容，而不是连接到特定节点。尽管在以连接为中心的无线网络中提高数据速率方面取得了重大进展，但在无线网络中，战略使用存储以及共同设计的数据传递的关注较少。该项目的目的是为以内容为中心的无线方法开发信息理论框架，这使得可以通过无线信息流共同优化存储的战略定位和使用。 该框架将基于一个内容分布能力区域，该区域将以不同的无线网络拓扑为特征的传输大小与高速缓存存储区域的特征，其用户需求来自非均匀内容的知名度。我们将使用一套广泛的工具，包括香农理论，网络算法和编码以及内容分布网络系统设计的想法，为以内容为中心的无线网络开发理论和明确策略。该项目还促进了研究工程师的培训：我们将通过创建新颖的课程结合无线网络信息流，存储和无线内容交付系统中的基础概念来将研究结果整合到课程中。 鉴于媒体内容驱动的对无线数据的需求呈指数增长，结果将成为无线宽带内容分布的推动者，该分布利用了超出蛮族分配的维度。