CAREER: Towards Context-Aware, Self-Organizing Wireless Small Cell Networks

职业：迈向情境感知、自组织无线小型蜂窝网络

• 批准号: 1253731
• 负责人: Walid Saad
• 金额: $ 44.32万
• 依托单位: University of Miami
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-01-01 至 2014-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1253731&HistoricalAwards=false
• 关键词: CAREER; Towards; Context; Aware; Self

Providing seamless, high quality wireless service anytime and anywhere requires substantial structural changes in today's macro-cellular networks. One such change, introducing small cell base stations, is seen as a highly promising solution. However, it requires meeting fundamental challenges: 1) nodes? self-organization, 2) network heterogeneity, and 3) high sensitivity of resource allocation to the system parameters. The proposed research addresses these challenges by exploring a dimension that has often been overlooked: the user's context. To achieve this goal, first, machine learning techniques are proposed to extract context from three dimensions: device, geo-location, and social metrics. Then, context-aware resource management schemes are developed by advancing novel techniques from matching theory - a powerful tool from economics and game theory. Subsequently, the learned context is leveraged to devise cooperative small cell models using new tools from coalitional game theory. Comprehensive evaluation is done via testbed implementation and software simulations. The developed analytical tools will lay the foundations of context-aware, self-organizing small cell networks and will impact multiple disciplines such as communications, game theory, and social sciences. The generated results will provide fresh ideas for developing new small cell products. The research is fully integrated into the educational plan via incorporation in new and existing courses as well as training students via mentoring, participation in testbed development, and internships at industrial labs. A developed small cell educational tool will foster this integration via new hands-on activities and demonstrations to the community. Specialized outreach activities will contribute to increasing the participation of minority high school students in science and engineering.

随时随地提供无缝的高质量无线服务，需要在当今的宏观细胞网络中进行实质性的结构变化。一种这样的变化引入了小型细胞基站，被视为一种非常有前途的解决方案。但是，它需要满足基本挑战：1）节点？自组织，2）网络异质性和3）资源分配对系统参数的高灵敏度。拟议的研究通过探索经常被忽视的维度来解决这些挑战：用户的上下文。为了实现这一目标，首先提出了机器学习技术来从三个维度中提取上下文：设备，地理位置和社交指标。然后，通过从匹配理论（经济学和游戏理论的强大工具）中推进新技术来开发上下文感知的资源管理方案。随后，学习的环境被利用以使用联盟游戏理论中的新工具来设计合作的小细胞模型。全面的评估是通过测试型实施和软件模拟进行的。开发的分析工具将奠定上下文感知，自组织的小细胞网络的基础，并将影响多个学科，例如沟通，游戏理论和社会科学。生成的结果将为开发新的小细胞产品提供新的想法。这项研究通过在新课程和现有课程中融合到教育计划中，并通过指导，参与测试床开发以及在工业实验室实习来培训学生。开发的小细胞教育工具将通过向社区向社区进行新的动手活动和演示来促进这种整合。专业的外展活动将有助于增加少数族裔高中学生参与科学和工程学。