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.

蜂窝电话的成功故事促使无线通信界将注意力转向其他信息服务，其中许多属于“无线数据”通信类别。 蜂窝电话网络运营的一个教训是，有效的无线资源管理（功率控制、信道分配和切换）对于提高系统的质量和效率至关重要。 在包含高速数据信号的系统中，无线电资源管理即使不是更重要，也同样重要。 这项研究的重点是开发无线数据网络中无线资源管理的新框架。 这里考虑的新方法依赖于使用微观经济理论，该理论在开发无线数据服务的分布式无线电资源管理算法时考虑了效用（用户的满意度）和定价（向用户收取的成本）的概念。 这项研究将为影响当前不断发展的第三代无线系统的知识和技术做出根本性贡献。 开发了一种数据用户效用模型，该模型基于无线终端在其电池寿命期间可以传输的有用位数。 基于这种无线数据用户从使用系统中获得的效用模型，考虑了最大化效用的分布式功率控制算法。 将这些算法表述为非合作博弈，研究了这种功率控制的可行性条件以及非合作博弈实现的纳什均衡的存在性和唯一性。 由此产生的均衡被证明是帕累托无效率的，从而激励引入定价以实现帕累托效率改进​​。 本研究的目标是研究效用和定价函数，这些函数将推动分布式资源管理方案（优化算法）达到帕累托有效操作点。 要考虑的具体问题包括基于功率和速率优化的非合作博弈、延迟约束下的效用最大化、效用和相应博弈的信息论概念以及能量受限传输下的动态定价。 研究者的教育目标包括：（i）为电气工程、计算机科学和大众传播的研究生开设无线通信多学科课程； (ii) 无线通信技术课程，讨论无线的理论方面及其与实际标准的关系； (iii) 本科生特别研究计划，重点关注无线互联网及其应用。