Career: Radio Resource Management for Wireless Data Networks

职业：无线数据网络的无线电资源管理

• 批准号: 9874976
• 负责人: Narayan Mandayam
• 金额: $ 20万
• 依托单位: Rutgers University New Brunswick
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-09-01 至 2004-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9874976&HistoricalAwards=false
• 关键词: Career; Radio; Resource; Management; Wireless

The cellular telephone success story has prompted the wireless communications community to turn its attention to other information services, many of them in the category of "wireless data" communica5ions. One lesson of cellular telephone network operation is that effective radio resource management (power control, channel assignment and handoffs) is essential to promote the quality and efficiency of a system. Radio resource management will be equally, if not more, critical in systems that include high-speed data signals. This research focuses on developing a new framework for radio resource management in wireless data networks. The new approach considered here relies on using microeconomic theories that take into account notions utility (level of satisfaction of a user) and pricing (cost charged to a user) in developing distributed radio resource management algorithms for wireless data services. This research will make fundamental contributions that impact knowledge and technology in the currently evolving third generation of wireless systems. A model for the utility of a data user is developed that is based on the number of useful bits that a wireless terminal can transfer over the lifetime of its battery. Based on such a model for the utility wireless data user derives from using the system, distributed power control algorithms that maximize utility are considered. Formulating these algorithms as noncooperative games, conditions for feasibility of such power control as well as existence and uniqueness of the Nash equilibrium achieved by the non-cooperative game are investigated. The resulting equilibria are shown to be Pareto inefficient, thereby motivating the introduction of pricing to achieve Pareto improvements in efficiency. The goals of this research are to investigate utility and pricing functions that will drive distributed resource management schemes (optimization algorithms) to Pareto efficient operating points. Specific issues to be considered include noncooperative games based on power and rate optimization, utility maximization under delay constraints, information theoretic notions of utility and corresponding games, and dynamic pricing under energy-constrained transmission. The educational objectives of the investigator include: (i) a multidisciplinary course in wireless communications with graduate students from electrical engineering, computer science and mass communications; (ii) a wireless communications technology course discussing theoretical aspects of wireless and its relations to practical standards; (iii) special undergraduate research initiatives focusing on the wireless internet and applications.

蜂窝电话成功的故事促使无线通信社区将注意力转向其他信息服务，其中许多是“无线数据” Communicaa5ions的类别。 蜂窝电话网络操作的一个教训是，有效的无线电资源管理（电源控制，渠道分配和交接）对于促进系统的质量和效率至关重要。 在包括高速数据信号的系统中，无线电资源管理将同样至关重要。 这项研究重点是为无线数据网络中的无线电资源管理开发新的框架。 这里考虑的新方法依赖于使用微观经济学理论，这些理论考虑了概念效用（用户的满意度）和定价（向用户收取的成本）来开发无线数据服务的分布式无线电资源管理算法。 这项研究将作出基本的贡献，以影响目前不断发展的第三代无线系统的知识和技术。 开发了数据用户实用程序的模型，该模型基于无线终端可以在电池生命周期内传输的有用位数。 基于实用程序无线数据用户使用系统的这种模型，考虑了最大化实用程序的分布式功率控制算法。 研究了这些算法为非合作游戏，该算法的可行性以及通过非合作游戏达到的NASH平衡的存在以及独特性的条件。 结果表明，所产生的平衡效率低下，从而激发了定价的引入以提高效率的帕累托。 这项研究的目标是调查效用和定价功能，这些功能将把分布式资源管理方案（优化算法）推向帕累托有效的操作点。 要考虑的具体问题包括基于功率和速率优化的非合作游戏，在延迟约束下的实用性最大化，实用程序的信息理论概念和相应的游戏以及在能量受限传输下的动态定价。 研究人员的教育目标包括：（i）与电气工程，计算机科学和大众传播的研究生无线通信的多学科课程； （ii）无线通信技术课程，讨论了无线的理论方面及其符合实际标准的关系； （iii）专注于无线互联网和应用程序的特殊本科研究计划。